Skip to main content

Can Europe capture the value of its own battery waste, and what can European refiners then serve of the recycled-lithium minimum that binds in August 2031?

Set the arrival rate, how much reaches a European plant, which refining routes clear their costs, and how much of the powder Europe refines rather than sells.

This is the model the report was written against: 69 inputs, 124 equations, every one of them carrying the claim ids behind it. It loads at the report’s own case.

The report’s claim, at these settings
Strained

At these settings the report’s claim is under pressure.

The report’s case

On the report’s own case, what European refiners can serve of the 2031 lithium minimum is 0.625 ratio, and the report’s claim is strained.

This label does not survive its own normalisation band

The same settings return 0.360 against the top of the published band (strained) and 1.47 against the bottom of it (holds). The corpus publishes no European lithium demand tonnage, so this ratio is scaled against a declared reference basis. Read it as a position against that basis, never as an absolute share of the statutory minimum.

What does not move with it: 0.369. Share of the recycled lithium in Europe’s own waste that Europe itself refines. The reference basis cancels exactly out of this one, so it carries none of the conditionality above.

What the world returns

What European refiners can serve of the 2031 lithium minimum
0.625ratio
The same waste refined anywhere in the world
1.70ratio
Share of the recycled lithium in Europe’s waste that Europe refines
0.369fraction of recycled lithium
European arisings in 2030
305.7kt per year
Utilisation of European refining capacity in 2030
0.588fraction of capacity
Margin on a tonne of black mass through hydrometallurgy
1,842US dollars per tonne of black mass
Metal value Europe captures in 2030
612.5millions of US dollars per year

Pre-registered configurations

Each of these was written down before the model was run, one of them by the seat whose job was to break the report. Selecting one restores the report’s case and then applies its own settings.

The report’s scenarios (9)

What you can change

Each control opens at the report’s own value. The lighter band on the track is the range of published estimates; outside it the model still computes and everything it touches is marked.

0.368fraction of black mass

The report’s value. Published estimates run 0 to 1.00. The model is defined from 0 to 1.00. Claims C-58, C-60, C-61, C-62, C-63, C-65, C-66, C-67, C-59, C-21, C-18.

1.00fraction of arisings

The report’s value. Published estimates run 0.281 to 1.00. The model is defined from 0 to 1.00. Claims C-52, C-17, C-28, C-82, C-41, C-14.

0.213fraction per year

The report’s value. Published estimates run 0.157 to 0.279. The model is defined from 0 to 1.00. Claims C-41, C-01, C-03.

3,609US dollars per tonne processed

The report’s value. Published estimates run 1,555 to 5,662. The model is defined from 0 to 5,662. Claims C-73, C-89.

0.040fraction of black mass

The report’s value. Published estimates run 0.020 to 0.060. The model is defined from 0 to 1.00. Claims C-77.

10,542US dollars per tonne

The report’s value. Published estimates run 8,259 to 85,000. The model is defined from 0 to 85,000. Claims C-26, C-78, C-79.

0.060fraction of contained lithium

The report’s value. Published estimates run 0.060 to 0.120. The model is defined from 0 to 1.00. Claims C-10, C-51.

520.0kt per year

The report’s value. Published estimates run 520.0 to 820.0. The model is defined from 0 to 820.0. Claims C-82, C-01.

Every other input this model takes (23)
0.750fraction of feedstock

The report’s value. Published estimates run 0.370 to 0.750. The model is defined from 0 to 1.00. Claims C-05, C-06, C-44.

0.450tonnes per tonne

The report’s value. Published estimates run 0.400 to 0.500. The model is defined from 0 to 1.00. Claims C-07.

0.125fraction of black mass

The report’s value. Published estimates run 0.050 to 0.200. The model is defined from 0 to 1.00. Claims C-77.

0.100fraction of black mass

The report’s value. Published estimates run 0.050 to 0.150. The model is defined from 0 to 1.00. Claims C-77.

13.50US dollars per pound

The report’s value. Published estimates run 13.50 to 25.00. The model is defined from 0 to 25.00. Claims C-80.

14,900US dollars per tonne

The report’s value. Published estimates run 14,900 to 16,000. The model is defined from 0 to 16,000. Claims C-81.

0.940fraction of contained lithium

The report’s value. Published estimates run 0.900 to 0.980. The model is defined from 0 to 1.00. Claims C-19, C-58, C-68, C-70.

0.970fraction of contained cobalt and nickel

The report’s value. Published estimates run 0.950 to 0.990. The model is defined from 0 to 1.00. Claims C-72, C-58, C-60, C-70.

0.150fraction of contained lithium

The report’s value. Published estimates run 0 to 0.300. The model is defined from 0 to 1.00. Claims C-19, C-71.

0.900fraction of contained cobalt and nickel

The report’s value. Published estimates run 0.850 to 0.950. The model is defined from 0 to 1.00. Claims C-72.

0.970fraction of contained cathode

The report’s value. Published estimates run 0.950 to 0.990. The model is defined from 0 to 1.00. Claims C-74.

938.5US dollars per tonne processed

The report’s value. Published estimates run 26.00 to 1,851. The model is defined from 0 to 1,851. Claims C-73, C-71.

4,447US dollars per tonne processed

The report’s value. Published estimates run 4,447 to 4,447, a single evidenced value. The model is defined from 0 to 5,662. Claims C-73, C-74.

8.00readiness level

The report’s value. Published estimates run 7.00 to 9.00. The model is defined from 1.00 to 9.00. Claims C-71, C-76.

9.00readiness level

The report’s value. Published estimates run 9.00 to 9.00, a single evidenced value. The model is defined from 1.00 to 9.00. Claims C-71.

4.50readiness level

The report’s value. Published estimates run 4.00 to 5.00. The model is defined from 1.00 to 9.00. Claims C-74, C-64.

7.00readiness level

The report’s value. Published estimates run 5.00 to 9.00. The model is defined from 1.00 to 9.00. Claims C-71, C-74, C-76.

0.656fraction of refining

The report’s value. Published estimates run 0.656 to 0.656, a single evidenced value. The model is defined from 0 to 1.00. Claims C-76.

0fraction of refining

The report’s value. Published estimates run 0 to 0, a single evidenced value. The model is defined from 0 to 1.00. Claims C-64, C-74.

0.040fraction of the lithium price

The report’s value. Published estimates run 0.030 to 0.050. The model is defined from 0 to 1.00. Claims C-20.

0.740fraction of contained nickel and cobalt value

The report’s value. Published estimates run 0.680 to 0.750. The model is defined from 0 to 1.00. Claims C-20.

0.800fraction of contained lithium

The report’s value. Published estimates run 0.500 to 0.800. The model is defined from 0 to 0.980. Claims C-09, C-55.

0.580fraction against virgin mining

The report’s value. Published estimates run 0.580 to 0.810. The model is defined from 0 to 1.00. Claims C-75.

What it projects, and what it will not

The future, as a range.

A projection here starts from an evidenced anchor in a named year, is computed from named drivers rather than by extending a line, and stops at the horizon of the study it came from. Point estimates about the future do not ship.

20252029203020312035203620402,106986.6 to 4,915
European arisings, kt per year. The band is the envelope of this model’s 6 projection drivers swept to both ends of their published ranges, one at a time. The line inside it is your current settings.
ProjectsEuropean battery scrap and end-of-life arisings, one compound path from a measured 2024 anchor, banded from the driver's evidence-range ends, and everything the balance derives from it: feedstock reaching plants, utilisation, black mass, recovered lithium and the quota comparison.
Does not projectBlack-mass export tonnages. Any internal rate of return. The market-size series. The chemistry mix of European feedstock. Second-life volumes. Plant-level utilisation as a series. Copper and manganese value. Each refusal is recorded below with its reason.
Base year2024, at 96 kt of European battery scrap and end-of-life batteries arising
Horizon2040. The corpus's own forecast horizon. C-01 carries the consensus arisings band to 2040 and nothing in the corpus is dated beyond it, so nothing is computed beyond it. The verdict and every quantity that decides it are struck at the 2030 balance, inside the band the driver was calibrated on; 2035 and 2040 are carried as band comparisons only and no verdict rests on them.
How the band is builtThe arisings band runs from the driver's evidence-range ends, both of which are published 2030 band ends expressed as a rate from the 2024 anchor: 0.15675868 a year reproduces C-01's 230 kt at 2030 and 0.27887965 reproduces its 420 kt. The central path is computed at the rate C-41's own assessment series implies and lies inside that band at position 0.398165. No point estimate about the future is returned without its band. At the horizon the model's own band runs 986.6 to 4915.3 kt against the corpus's published 1,500 to 2,100, and the specification prints that disagreement rather than tuning it: a single compound rate calibrated on the 2030 band cannot also reproduce the 2040 band, because the corpus's two bands imply different growth regimes, which is exactly what C-06 describes when it says production scrap peaks around 2030 and end-of-life batteries take over after 2035. The horizon cap of 05 section 6 is honoured in the year and not in the value, and the specification says which. 2040 is the corpus's own forecast horizon and the model returns no year past it; but the model's 2035 path sits at position 1.005695 inside the published 2035 band and its 2040 path at 1.010215 inside the published 2040 band, both fractionally outside the top, and its own 2040 band ends are far wider than the published pair. Both positions are computed outputs and are printed. They are not clipped to the published ends, because clipping would import a change of growth regime for which the corpus publishes no rate, and a band clipped to the published ends would be reporting the corpus's forecast rather than the model's. The verdict is struck at the 2030 balance and depends on no year after 2031, so nothing in the flip indicator rests on the disagreement.
Backcast05 section 6 asks for the last three known years reproduced within a stated tolerance before the model may project one year forward. The corpus does not hold three known years of European arisings and this specification refuses to pretend it does. It holds two figures on a comparable European basis, 96 kt assessed for 2024 (C-41) and roughly 100 kt for 2025 (C-17), plus a forward point of 252 kt for 2029 from the same assessment series as the 2024 figure (C-41). The only other historical tonnage in the corpus is 212,735 t of batteries of all chemistries recycled in Germany in 2022 (C-04), a different geography, a different scope and a different quantity, and it is not used. So the backcast is two points, not three, and it is reported as such. At the central driver the 2029 point is reproduced exactly, because that point is what fixes the driver, and the 2025 point is missed by +16.44 per cent: the corpus's own two near-year figures imply about 4 per cent growth in the first year while its series to 2029 implies 21.3 per cent a year, so no smooth path can satisfy both. At the low end of the driver range the 2025 error narrows to +11.05 per cent and at the high end it widens to +22.77 per cent, and validation vectors V-BACKCAST-LO and V-BACKCAST-HI record both rather than narrowing the range to flatter the fit. Two out-of-sample checks survive the exercise and both are recorded: the central path lands at position 0.3982 inside C-01's published 2030 band, which is independent evidence the driver was not calibrated on, and the same path lands 1.0029 times the top of C-01's published 2040 band, that is 0.29 per cent above it. That second number is not luck and it is not a fit: the ratio between the corpus's 2035 and 2040 band tops, 2,100 over 800, is exactly the ratio between the two points of its near-term assessment series, 252 over 96. Two independently sourced parts of the corpus imply the same five-year growth factor to eight decimal places, and the model reports the coincidence rather than resting on it.
Dated events on the horizon (33)
  1. 2024-09AE Elemental's Zawiercie plant becomes operationalC-61
  2. 2024-10Mercedes-Benz opens Europe's first OEM-integrated recycling plant at KuppenheimC-63
  3. 2024-10Hydrovolt adds its automated second line at FredrikstadC-59
  4. 2025-02-18Carbon-footprint declaration becomes mandatory for EV batteriesC-50
  5. 2025-02Net Zero Industry Act permit caps take effect: 12 months below 1 GW, 18 aboveC-57
  6. 2025-03Northvolt files for bankruptcy; Revolt Ett, planned at 125,000 t/yr, enters a sale processC-24, C-86
  7. 2025-05Li-Cycle files for bankruptcy holding a 475 million dollar federal loan, its Rochester hub paused since 2023C-25, C-83
  8. 2025-06BASF's Schwarzheide black-mass plant becomes commercialC-60
  9. 2025-10-07Germany's Battery Implementation Act takes effectC-54
  10. 2025-11Redwood Materials opens its South Carolina plant, taking US capacity above 80,000 t/yrC-69
  11. 2025-12-01Accurec commissions Europe's first industrial-scale lithium-recovery lineC-67
  12. 2025-12-31Recycling efficiency for lithium-based batteries, step one: 65 per cent by weight; the corpus dates this step to 2027 and the regulation to end-2025, and the conflict is carriedC-49
  13. 2026-01-01German municipal collection points must accept light-transport batteriesC-54
  14. 2026-02-18Carbon-footprint declaration extends to industrial batteriesC-50
  15. 2026-08-18Recycled-content calculation methodology due by delegated actC-51
  16. 2026-08-18Performance-class labels become mandatory for EV batteriesC-50
  17. 2027cylib's Dormagen plant starts productionC-68
  18. 2027-02-18Digital Battery Passport mandatory for every EV and industrial battery above 2 kWhC-11
  19. 2027-08Supply-chain due diligence takes effect, postponed two years from August 2025C-55
  20. 2027-08-18Performance-class labels extend to industrial batteriesC-50
  21. 2027-12-31Recovery targets phase one: lithium 50 per cent, cobalt, nickel and copper 90 per centC-09
  22. 2027-12-31Portable-battery collection reaches 63 per centC-14
  23. 2027-12-31The regional Just Transition Fund programme hard-stopsC-96
  24. 2028-02-18Maximum carbon thresholds for EV batteries; non-compliance means market exclusionC-50
  25. 2028-08-18Recycled-content declaration becomes mandatory per batteryC-51
  26. 2028-12-31Light-transport battery collection reaches 51 per centC-52
  27. 2029-02-18Maximum carbon thresholds for industrial batteriesC-50
  28. 2030Critical Raw Materials Act benchmarks: 10 per cent extraction, 40 processing, 25 recycling, no more than 65 from one third countryC-53, C-12
  29. 2030-12-31Portable collection 73 per cent; lithium-based recycling efficiency 70 per cent by weightC-14, C-49
  30. 2031-08-18Recycled-content minimums bind: cobalt 16 per cent, lithium 6, nickel 6C-10
  31. 2031-12-31Recovery targets phase two: lithium 80 per cent, cobalt, nickel and copper 95C-09
  32. 2031-12-31Light-transport collection reaches 61 per centC-52
  33. 2036-08-18Recycled-content minimums step up: cobalt 26 per cent, lithium 12, nickel 15C-10
Under the hood

Everything this model is made of.

What this model cannot tell you

  • The model balances tonnes, recovery rates and metal value. It does not compute a rate of return, a payback or a net present value, and it should not be read as saying whether a plant is worth building. The corpus's returns material exists and is adjudicated, and it is denominated in euros while every price in the corpus is in dollars with no exchange rate published anywhere in the evidence, so joining them would be inventing a number.
  • Copper and manganese are in the powder and are recovered, and the corpus publishes no price for either. Every value share this model reports is therefore a share of lithium, cobalt and nickel only, and it understates what a real refinery sells. It also understates the difference between the routes, because manganese is where smelting loses most after lithium.
  • Lithium here is an index, never a tonnage. The powder is assayed at 2 to 6 per cent lithium compounds and the payable is quoted as a share of the lithium carbonate price, and nothing in the corpus converts between the two. The coverage comparison works because the conversion cancels on both sides of a ratio; ask this model for tonnes of lithium carbonate and it will not answer.
  • The level of the coverage rail is conditional and the ordering is not. The 14 per cent of 2030 EU lithium demand that recycling could cover is published (C-42) and the feedstock, collection, yield and recovery assumptions behind it are not; the corpus publishes no EU lithium demand tonnage anywhere, and this model publishes no conversion from contained lithium compounds to carbonate equivalent, so there is no route in this evidence to an absolute grounding and the specification does not manufacture one. What it does instead is declare a reference basis in full, compute it forward from five named published values rather than back-solving it from the model's own output, and measure how little the corpus constrains it: the published yield, assay and recovery bands alone leave the reference index anywhere from 3.024 to 12.348 kt, a range 4.083333 times wide. Every coverage number and both quota-service ratios inherit that. Read quota_service_ratio as a position against the most generous configuration the corpus's own published values allow, not as an absolute share of the statutory minimum. The model reports the same configuration's ratio at both ends of that band and prints verdict_robust_to_normalisation, which is nought at the defaults because the central case reads strained at one end and holds at the other.
  • What the normalisation does not touch. It divides both sides of every comparison, so it is absent from every route gate, every margin, every payable, every crossover price, every utilisation and every value share, and it cancels exactly out of eu_origin_share_of_recycled_li, which is also the ratio between the two quota-service rails. The finding that European refiners hold a little over a third of the recycled lithium in Europe's own waste, and every statement this model makes about which configuration is better or worse than which, stands whatever the normalisation is. Only levels against thresholds are conditional.
  • There is no out-of-sample test of the coverage rail in this package, and the refusal is a finding rather than an omission. A genuine test would need a second published statement of recovered lithium against a feedstock tonnage on the same basis the model uses. The nearest thing the corpus holds is C-70, which reports 17,100 tonnes of regenerated lithium salts from 120,000 tonnes of used batteries at one Chinese operator. That is a salts basis, this model is on a contained-lithium-compounds basis, and the corpus publishes no conversion between them - the same absence that stops the coverage rail being grounded in the first place. Comparing them would produce a number that looks like a validation and is a unit error, so the comparison is refused. V-REFERENCE-IDENTITY, which used to be described as a calibration proof, is an algebraic identity that cannot fail and is now labelled one.
  • Capacity is measured on one basis and refining on another. The corpus's capacity series mixes an installed pre-treatment figure with an announced refinement figure and compares both directly against tonnes of arisings, and the model follows that comparison because it is the corpus's own. A tonne of pre-treatment capacity and a tonne of refining capacity are not the same tonne, and where the model says utilisation it means the corpus's comparison, not a plant engineer's.
  • The European refining share is a capacity ratio standing in for a flow. It is built from the operating facility record, plant by plant, with the classification printed in datasets/eu_facilities.csv so anyone can disagree with it. It is not a measured export share, because the corpus holds no black-mass export tonnage and the report lists that absence among the things it could not establish. The two ends of its range are site-level observations, not a distribution.
  • The route mix rests on one number whose geography is unknown. Hydrometallurgy's 65.6 per cent processing share is the only route split the corpus publishes and the source does not say whether it is global or European. Its evidence range is that single point, so any other allocation is the reader's own.
  • Utilisation as this model computes it runs above what operators report. At the 2024 anchor the model returns about 35.6 per cent aggregate utilisation while operators report under 10 per cent at many plants. The gap is arisings that never reach a plant, which the corpus does not measure, and the model surfaces it as a diagnostic rather than smoothing it away. The low end of collection_share is exactly the value that reconciles them.
  • The two published cost sources for hydrometallurgy disagree by nearly a factor of three, 1,555 to 5,662 dollars a tonne against about 1,300. The model uses the first because it is the only source that costs all four routes on one basis, carries the second as a live check on the margin it returns, and prints the ratio rather than choosing.
  • Smelting is barred by a legal gate that rests on a mid-point. Its published lithium recovery band is 0 to 30 per cent, and even its top is below the 50 per cent the statute requires from the end of 2027, so the gate would close at any point in the band. But the recovery target itself is regulation that has already slipped once elsewhere, and the reader can switch it off. When they do, the model's most profitable route returns and the lithium goes to slag.
  • The chemistry shift is approached and not modelled. Genuine LFP powder carries no cobalt and no nickel, which is below every composition the corpus assays, so the thin-powder scenario reaches the bottom of the published bands and stops there. It understates the effect it is built to show, and the corpus holds no chemistry mix for European feedstock to do better with.
  • Second-life storage is not in the model at all. Every pack diverted into stationary storage arrives at a recycler a battery lifetime later, and the corpus rates the flagship ramp only 30 per cent likely on its own assessment. The diversion is real and unquantified, and it makes the arisings path here slightly generous.
  • The projection's own band and the corpus's published band disagree at the horizon, and the horizon cap holds in the year rather than in the value. A single compound rate calibrated on the 2030 band cannot also reproduce the 2040 band, because the corpus's two bands imply different growth regimes and C-06 names them: production scrap peaks around 2030 and end-of-life batteries take over after 2035. The model carries one driver, so its 2035 path sits at position 1.005695 in the published 2035 band and its 2040 path at 1.010215 in the published 2040 band, both just outside the top, and its own 2040 band runs 986.6 to 4,915.3 kt against a published 1,500 to 2,100. The positions are computed and printed rather than clipped, because clipping would import a regime change the corpus publishes no rate for. Nothing in the verdict depends on any year after 2031.
  • The backcast is two points and one of them is the point that fixes the driver. Two points cannot distinguish compound growth from several other shapes that would fit as well, and the model claims only that a constant rate is consistent with every European arisings figure the corpus publishes, within a tolerance it states.
  • Nothing in this model tells you whether the law will hold. It computes what European refiners could serve of an obligation as it is currently written, on dates as they are currently set. The corpus records the EU postponing one battery obligation by two years already, and the reader can soften the recovery target and the quota level and watch the world change. Whether the legislature will is not a quantity this or any model carries.
  • The largest thing this model holds fixed that the world does not is the origin rule. Nothing in the regulation as harvested requires the recycled content in a 2031 battery to have been recycled in Europe, so the model computes both rails and reports the gap between them. It does not predict which rail the Commission's implementing acts will create. That gap, quota_origin_gap_ratio, is the single number this specification would most like to be able to close and cannot.
  • What would need new research: a measured European collection rate for EV batteries, so the supply rail stops resting on a legal duty; a black-mass export tonnage series, so the refining share stops being a capacity ratio; a European black-mass grading standard, so composition stops being a range spanning a factor of four on cobalt; a published copper and manganese price on the same basis as the other metals, so the value shares stop understating; and the Commission's recycled-content calculation methodology, due by delegated act from 18 August 2026, which decides whether the origin gap is real.
  • The emissions rail is computed and then stops, and that is a disclosure rather than an oversight. scrap_share_2030 moves the scrap and end-of-life split and, through it, ghg_saving_blended; ghg_saving_eol moves the same blend; nothing downstream consumes either. The corpus publishes no yield, grade or value difference between production scrap and end-of-life packs, so the split cannot reach the material balance; it prices no carbon in this subject, so the saving cannot reach a margin; and C-50's maximum carbon thresholds, dated February 2028 for EV batteries and February 2029 for industrial, are carried in the corpus with their dates and without their numbers, so the saving cannot reach a compliance gate either. Connecting the branch would mean inventing a carbon price or a threshold. The calculation is small, correct and sourced to C-75, and it is left terminal and named as terminal.
  • Three parameters are carried for reference and enter no equation: bm_cu_content, bm_mn_content and hydro_breakeven_kt. None is reader-settable, because a lever that moves nothing is worse than an absence. Copper and manganese cannot be valued, since the corpus publishes no price for either, and they cannot be given a mass-basis consequence either, since C-49's whole-process efficiency target is defined over the whole battery and this model tracks only the black mass. C-89's break-even scale cannot be compared against anything here because C-89 does not say whether its 7,000 tonnes is battery input or black mass. Four validation vectors pin the copper and manganese inertness at both ends of their published bands, so a builder who wires either to an output will fail the vectors rather than ship a control that appears to do something.
Every equation, in the order they are evaluated (124)
OutputExpressionUnitClaims
arisings_2025arisings_anchor_2024 * (1 + arisings_cagr)kt per yearC-41, C-17
arisings_2029arisings_anchor_2024 * (1 + arisings_cagr) ** 5kt per yearC-41
arisings_2030arisings_anchor_2024 * (1 + arisings_cagr) ** 6kt per yearC-41, C-01
arisings_2031arisings_anchor_2024 * (1 + arisings_cagr) ** 7kt per yearC-41, C-01, C-10
arisings_2035arisings_anchor_2024 * (1 + arisings_cagr) ** 11kt per yearC-41, C-01, C-06
arisings_2036arisings_anchor_2024 * (1 + arisings_cagr) ** 12kt per yearC-41, C-01, C-10
arisings_2040arisings_anchor_2024 * (1 + arisings_cagr) ** 16kt per yearC-41, C-01
arisings_2030_band_lowarisings_anchor_2024 * (1 + arisings_cagr_band_low) ** 6kt per yearC-41, C-01
arisings_2030_band_higharisings_anchor_2024 * (1 + arisings_cagr_band_high) ** 6kt per yearC-41, C-01
arisings_2040_band_lowarisings_anchor_2024 * (1 + arisings_cagr_band_low) ** 16kt per yearC-41, C-01
arisings_2040_band_higharisings_anchor_2024 * (1 + arisings_cagr_band_high) ** 16kt per yearC-41, C-01
backcast_error_2025arisings_2025 / arisings_published_2025 - 1fractionC-41, C-17
backcast_error_2029arisings_2029 / arisings_published_2029 - 1fractionC-41
arisings_2030_band_position(arisings_2030 - arisings_band_low_2030) / max(arisings_band_high_2030 - arisings_band_low_2030, 0.000001)position in the published bandC-01, C-41
arisings_2035_vs_band_higharisings_2035 / arisings_band_high_2035ratioC-01, C-41
arisings_2040_vs_band_higharisings_2040 / arisings_band_high_2040ratioC-01, C-41
arisings_2035_band_position(arisings_2035 - arisings_band_low_2035) / max(arisings_band_high_2035 - arisings_band_low_2035, 0.000001)position in the published bandC-01, C-41
arisings_2040_band_position(arisings_2040 - arisings_band_low_2040) / max(arisings_band_high_2040 - arisings_band_low_2040, 0.000001)position in the published bandC-01, C-41
scrap_arisings_2030arisings_2030 * scrap_share_2030kt per yearC-05, C-06, C-44
eol_arisings_2030arisings_2030 * (1 - scrap_share_2030)kt per yearC-06, C-03, C-44
ghg_saving_blendedscrap_share_2030 * ghg_saving_scrap + (1 - scrap_share_2030) * ghg_saving_eolfraction against virgin miningC-75, C-05, C-06, C-50
feedstock_to_plants_2024arisings_anchor_2024 * collection_sharekt per yearC-41, C-52
feedstock_to_plants_2030arisings_2030 * collection_sharekt per yearC-01, C-52, C-14
utilisation_2024clamp(feedstock_to_plants_2024 / eu_capacity_2024, 0, 1)fraction of capacityC-41, C-82, C-28
utilisation_2030clamp(feedstock_to_plants_2030 / max(eu_capacity_2030, 0.000001), 0, 1)fraction of capacityC-01, C-82, C-28
utilisation_2024_vs_reportedutilisation_2024 / reported_utilisation_ceilingratioC-28, C-82, C-41
implied_collection_2024reported_utilisation_ceiling * eu_capacity_2024 / arisings_anchor_2024fraction of arisingsC-28, C-82, C-41
capacity_headroom_2030eu_capacity_2030 - feedstock_to_plants_2030kt per yearC-82, C-01, C-29
announced_vs_band_highannounced_refinement_2030 / arisings_band_high_2030ratioC-82, C-01
co_price_usd_tco_price_usd_lb * lb_per_tonneUS dollars per tonneC-80
li_value_per_t_bmbm_li_content * li_carbonate_price_usd_tUS dollars per tonne of black massC-77, C-26
co_value_per_t_bmbm_co_content * co_price_usd_tUS dollars per tonne of black massC-77, C-80
ni_value_per_t_bmbm_ni_content * ni_price_usd_tUS dollars per tonne of black massC-77, C-81
coni_value_per_t_bmco_value_per_t_bm + ni_value_per_t_bmUS dollars per tonne of black massC-77, C-80, C-81
priced_value_per_t_bmli_value_per_t_bm + coni_value_per_t_bmUS dollars per tonne of black massC-77, C-26, C-80, C-81
li_share_of_priced_valueli_value_per_t_bm / max(priced_value_per_t_bm, 0.000001)fraction of priced valueC-77, C-26, C-80, C-81
hydro_recovered_per_t_bmhydro_li_recovery * li_value_per_t_bm + hydro_coni_recovery * coni_value_per_t_bmUS dollars per tonne of black massC-19, C-72, C-77
smelt_recovered_per_t_bmsmelt_li_recovery * li_value_per_t_bm + smelt_coni_recovery * coni_value_per_t_bmUS dollars per tonne of black massC-19, C-72, C-77
direct_recovered_per_t_bmdirect_cathode_recovery * (li_value_per_t_bm + coni_value_per_t_bm)US dollars per tonne of black massC-74, C-77
hydro_value_retained_sharehydro_recovered_per_t_bm / max(priced_value_per_t_bm, 0.000001)fraction of priced valueC-19, C-72
smelt_value_retained_sharesmelt_recovered_per_t_bm / max(priced_value_per_t_bm, 0.000001)fraction of priced valueC-19, C-72
direct_value_retained_sharedirect_recovered_per_t_bm / max(priced_value_per_t_bm, 0.000001)fraction of priced valueC-74
hydro_margin_per_t_bmhydro_recovered_per_t_bm - hydro_cost_usd_tUS dollars per tonne of black massC-19, C-72, C-73
smelt_margin_per_t_bmsmelt_recovered_per_t_bm - smelt_cost_usd_tUS dollars per tonne of black massC-19, C-72, C-73
direct_margin_per_t_bmdirect_recovered_per_t_bm - direct_cost_usd_tUS dollars per tonne of black massC-74, C-73
hydro_margin_per_kghydro_margin_per_t_bm / 1000US dollars per kilogramC-89, C-73
hydro_margin_in_published_bandclamp((hydro_margin_per_t_bm - hydro_margin_low_usd_t) * 1000000 + 1, 0, 1) * clamp((hydro_margin_high_usd_t - hydro_margin_per_t_bm) * 1000000 + 1, 0, 1)one or noughtC-89
hydro_cost_vs_published_opexhydro_cost_usd_t / hydro_opex_published_usd_tratioC-73, C-89
hydro_econ_okclamp(hydro_margin_per_t_bm * 1000000, 0, 1)one or noughtC-73, C-89, C-28
smelt_econ_okclamp(smelt_margin_per_t_bm * 1000000, 0, 1)one or noughtC-73, C-28
direct_econ_okclamp(direct_margin_per_t_bm * 1000000, 0, 1)one or noughtC-73, C-28
hydro_ready_okclamp((hydro_trl - readiness_threshold) * 1000000 + 1, 0, 1)one or noughtC-71, C-76
smelt_ready_okclamp((smelt_trl - readiness_threshold) * 1000000 + 1, 0, 1)one or noughtC-71
direct_ready_okclamp((direct_trl - readiness_threshold) * 1000000 + 1, 0, 1)one or noughtC-74, C-64
hydro_legal_okclamp((hydro_li_recovery - li_recovery_target_in_force) * 1000000 + 1, 0, 1)one or noughtC-09, C-19
smelt_legal_okclamp((smelt_li_recovery - li_recovery_target_in_force) * 1000000 + 1, 0, 1)one or noughtC-09, C-19
direct_legal_okclamp((direct_cathode_recovery - li_recovery_target_in_force) * 1000000 + 1, 0, 1)one or noughtC-09, C-74
hydro_availablehydro_econ_ok * hydro_ready_ok * hydro_legal_okone or noughtC-73, C-71, C-09
smelt_availablesmelt_econ_ok * smelt_ready_ok * smelt_legal_okone or noughtC-73, C-71, C-09
direct_availabledirect_econ_ok * direct_ready_ok * direct_legal_okone or noughtC-73, C-74, C-09
any_eu_route_availableclamp(hydro_available + smelt_available + direct_available, 0, 1)one or noughtC-73, C-71, C-74, C-09
smelt_share_of_eu_refiningclamp(1 - hydro_share_of_eu_refining - direct_share_of_eu_refining, 0, 1)fraction of refiningC-76, C-71
w_hydrohydro_share_of_eu_refining * hydro_availableweightC-76
w_smeltsmelt_share_of_eu_refining * smelt_availableweightC-76, C-71
w_directdirect_share_of_eu_refining * direct_availableweightC-64, C-74
w_totalw_hydro + w_smelt + w_directweightC-76
eu_weighted_li_recovery(w_hydro * hydro_li_recovery + w_smelt * smelt_li_recovery + w_direct * direct_cathode_recovery) / max(w_total, 0.000001)fraction of contained lithiumC-19, C-74, C-76
eu_weighted_recovered_per_t_bm(w_hydro * hydro_recovered_per_t_bm + w_smelt * smelt_recovered_per_t_bm + w_direct * direct_recovered_per_t_bm) / max(w_total, 0.000001)US dollars per tonne of black massC-19, C-72, C-74, C-76
eu_weighted_margin_per_t_bm(w_hydro * hydro_margin_per_t_bm + w_smelt * smelt_margin_per_t_bm + w_direct * direct_margin_per_t_bm) / max(w_total, 0.000001)US dollars per tonne of black massC-73, C-76
eu_weighted_value_retained_shareeu_weighted_recovered_per_t_bm / max(priced_value_per_t_bm, 0.000001)fraction of priced valueC-19, C-72, C-74
export_netback_per_t_bmli_payable * li_value_per_t_bm + nico_payable * coni_value_per_t_bmUS dollars per tonne of black massC-20, C-21
export_value_retained_shareexport_netback_per_t_bm / max(priced_value_per_t_bm, 0.000001)fraction of priced valueC-20
best_eu_margin_per_t_bmmax(hydro_margin_per_t_bm * hydro_available, max(smelt_margin_per_t_bm * smelt_available, direct_margin_per_t_bm * direct_available))US dollars per tonne of black massC-73, C-09, C-71
export_is_rationalclamp((export_netback_per_t_bm - best_eu_margin_per_t_bm) * 1000000, 0, 1)one or noughtC-20, C-21, C-73
value_forgone_by_exporting_per_t_bmeu_weighted_recovered_per_t_bm - export_netback_per_t_bmUS dollars per tonne of black massC-20, C-19, C-72
hydro_smelt_crossover_li_price(hydro_cost_usd_t - smelt_cost_usd_t - (hydro_coni_recovery - smelt_coni_recovery) * coni_value_per_t_bm) / max(bm_li_content * (hydro_li_recovery - smelt_li_recovery), 0.000001)US dollars per tonneC-19, C-72, C-73, C-26
export_refine_crossover_li_price(hydro_cost_usd_t + (nico_payable - hydro_coni_recovery) * coni_value_per_t_bm) / max(bm_li_content * (hydro_li_recovery - li_payable), 0.000001)US dollars per tonneC-20, C-19, C-73, C-26
crossover_vs_central_pricehydro_smelt_crossover_li_price / max(li_carbonate_price_usd_t, 0.000001)ratioC-26, C-19, C-73
capacity_cap_sharemin(eu_capacity_2030 / max(feedstock_to_plants_2030, 0.000001), 1)fractionC-82, C-01
eu_refined_share_effectiveclamp(eu_refined_share * any_eu_route_available * capacity_cap_share, 0, 1)fraction of black massC-58, C-62, C-63, C-82, C-09, C-73
eu_refined_feedstock_2030feedstock_to_plants_2030 * eu_refined_share_effectivekt per yearC-01, C-82
exported_feedstock_2030feedstock_to_plants_2030 - eu_refined_feedstock_2030kt per yearC-21, C-62
black_mass_2030feedstock_to_plants_2030 * black_mass_yieldkt per yearC-07, C-01
eu_refined_black_mass_2030eu_refined_feedstock_2030 * black_mass_yieldkt per yearC-07
exported_black_mass_2030exported_feedstock_2030 * black_mass_yieldkt per yearC-07, C-21
refining_capacity_2030eu_capacity_2030 * eu_refined_sharekt per yearC-82, C-58, C-63
refining_utilisation_2030clamp(eu_refined_feedstock_2030 / max(refining_capacity_2030, 0.000001), 0, 1)fraction of capacityC-28, C-82
eu_recycled_li_index_2030eu_refined_black_mass_2030 * bm_li_content * eu_weighted_li_recoverykt of contained lithium compoundsC-77, C-19, C-42
total_recycled_li_index_2030black_mass_2030 * bm_li_content * (eu_refined_share_effective * eu_weighted_li_recovery + (1 - eu_refined_share_effective) * foreign_li_recovery)kt of contained lithium compoundsC-77, C-19, C-70, C-10
reference_li_index_ktarisings_band_high_2030 * reference_basis_collection_share * reference_basis_black_mass_yield * reference_basis_bm_li_content * reference_basis_li_recoverykt of contained lithium compoundsC-42, C-01, C-52, C-07, C-77, C-19
reference_li_index_low_ktarisings_band_high_2030 * reference_basis_collection_share * reference_basis_yield_low * reference_basis_li_content_low * reference_basis_li_recovery_lowkt of contained lithium compoundsC-01, C-52, C-07, C-77, C-19
reference_li_index_high_ktarisings_band_high_2030 * reference_basis_collection_share * reference_basis_yield_high * reference_basis_li_content_high * reference_basis_li_recovery_highkt of contained lithium compoundsC-01, C-52, C-07, C-77, C-19
reference_normalisation_width_ratioreference_li_index_high_kt / max(reference_li_index_low_kt, 0.000001)ratioC-07, C-77, C-19, C-42
eu_refined_li_vs_referenceeu_recycled_li_index_2030 / max(reference_li_index_kt, 0.000001)ratioC-42, C-01, C-19
eu_refined_li_coveragereference_coverage_share * eu_refined_li_vs_referencefraction of 2030 EU lithium demandC-42, C-01, C-19
total_recycled_li_coveragereference_coverage_share * total_recycled_li_index_2030 / max(reference_li_index_kt, 0.000001)fraction of 2030 EU lithium demandC-42, C-70, C-10
eu_origin_share_of_recycled_lieu_recycled_li_index_2030 / max(total_recycled_li_index_2030, 0.000001)fraction of recycled lithiumC-18, C-21, C-62, C-19, C-70
quota_service_ratioeu_refined_li_coverage / max(recycled_content_quota_li, 0.000001)ratioC-10, C-42
quota_service_ratio_norm_lowreference_coverage_share * eu_recycled_li_index_2030 / max(reference_li_index_high_kt, 0.000001) / max(recycled_content_quota_li, 0.000001)ratioC-42, C-10, C-07, C-77, C-19
quota_service_ratio_norm_highreference_coverage_share * eu_recycled_li_index_2030 / max(reference_li_index_low_kt, 0.000001) / max(recycled_content_quota_li, 0.000001)ratioC-42, C-10, C-07, C-77, C-19
quota_service_ratio_any_origintotal_recycled_li_coverage / max(recycled_content_quota_li, 0.000001)ratioC-10, C-42, C-18
quota_origin_gap_ratioquota_service_ratio_any_origin - quota_service_ratioratioC-10, C-18, C-21
quota_headroom_pp(eu_refined_li_coverage - recycled_content_quota_li) * 100percentage pointsC-10, C-42
quota_headroom_2036_pp(eu_refined_li_coverage - 0.12) * 100percentage pointsC-10
flip_flips_thresholdcrm_input_rate / max(crm_benchmark, 0.000001)ratioC-13, C-12, C-53, C-10
verdict_definedclamp(recycled_content_quota_li * 1000000, 0, 1) * clamp(arisings_2030 * 1000000, 0, 1)one or noughtC-10, C-01
is_holdsclamp((quota_service_ratio - flip_holds_threshold) * 1000000 + 1, 0, 1)one or noughtC-10
is_flipsclamp((flip_flips_threshold - quota_service_ratio) * 1000000 + 1, 0, 1)one or noughtC-13, C-12
flip_state_numericclamp(2 * is_flips + (1 - is_flips) * (1 - is_holds), 0, 2)nought, one or twoC-10, C-13, C-12
is_holds_norm_lowclamp((quota_service_ratio_norm_low - flip_holds_threshold) * 1000000 + 1, 0, 1)one or noughtC-10
is_flips_norm_lowclamp((flip_flips_threshold - quota_service_ratio_norm_low) * 1000000 + 1, 0, 1)one or noughtC-13, C-12
flip_state_numeric_norm_lowclamp(2 * is_flips_norm_low + (1 - is_flips_norm_low) * (1 - is_holds_norm_low), 0, 2)nought, one or twoC-10, C-13, C-12
is_holds_norm_highclamp((quota_service_ratio_norm_high - flip_holds_threshold) * 1000000 + 1, 0, 1)one or noughtC-10
is_flips_norm_highclamp((flip_flips_threshold - quota_service_ratio_norm_high) * 1000000 + 1, 0, 1)one or noughtC-13, C-12
flip_state_numeric_norm_highclamp(2 * is_flips_norm_high + (1 - is_flips_norm_high) * (1 - is_holds_norm_high), 0, 2)nought, one or twoC-10, C-13, C-12
verdict_robust_to_normalisationclamp(1 - abs(flip_state_numeric_norm_high - flip_state_numeric_norm_low) * 1000000, 0, 1)one or noughtC-42, C-10, C-07, C-77, C-19
gross_metal_value_2030_musdblack_mass_2030 * priced_value_per_t_bm / 1000millions of US dollars per yearC-77, C-26, C-80, C-81
eu_captured_value_2030_musd(eu_refined_black_mass_2030 * eu_weighted_recovered_per_t_bm + exported_black_mass_2030 * export_netback_per_t_bm) / 1000millions of US dollars per yearC-19, C-72, C-20
value_forgone_2030_musdgross_metal_value_2030_musd - eu_captured_value_2030_musdmillions of US dollars per yearC-20, C-21, C-18
blended_value_retained_shareeu_captured_value_2030_musd / max(gross_metal_value_2030_musd, 0.000001)fraction of priced valueC-20, C-19, C-72
li_value_retained_shareeu_refined_share_effective * eu_weighted_li_recovery + (1 - eu_refined_share_effective) * li_payablefraction of lithium valueC-20, C-19, C-33
nico_value_retained_shareeu_refined_share_effective * hydro_coni_recovery + (1 - eu_refined_share_effective) * nico_payablefraction of nickel and cobalt valueC-20, C-72
li_value_capture_multipleli_value_retained_share / max(nico_value_retained_share, 0.000001)ratioC-20
eu_share_of_own_lithium_vs_china_refiningli_value_retained_share / max(1 - global_refining_share_china, 0.000001)ratioC-18, C-20
Every input, its evidence and its source (69)
InputReport’s valuePublished rangeYours to setClaims
European battery scrap and end-of-life batteries arising in 2024
arisings_anchor_2024
96.00kt per yearone evidenced valuefixed by the recordC-41, C-82
compound growth rate of European arisings from the 2024 anchor
arisings_cagr
0.213fraction per year0.157 to 0.279yesC-41, C-01, C-03
European arisings published for 2025
arisings_published_2025
100.0kt per yearone evidenced valuefixed by the recordC-17
European arisings published for 2029
arisings_published_2029
252.0kt per yearone evidenced valuefixed by the recordC-41
bottom of the published 2030 arisings band
arisings_band_low_2030
230.0kt per yearone evidenced valuefixed by the recordC-01
top of the published 2030 arisings band
arisings_band_high_2030
420.0kt per yearone evidenced valuefixed by the recordC-01, C-04
bottom of the published 2035 arisings band
arisings_band_low_2035
390.0kt per yearone evidenced valuefixed by the recordC-01
top of the published 2035 arisings band
arisings_band_high_2035
800.0kt per yearone evidenced valuefixed by the recordC-01
bottom of the published 2040 arisings band
arisings_band_low_2040
1,500kt per yearone evidenced valuefixed by the recordC-01
top of the published 2040 arisings band
arisings_band_high_2040
2,100kt per yearone evidenced valuefixed by the recordC-01
growth rate that reaches the bottom of the 2030 band
arisings_cagr_band_low
0.157fraction per yearone evidenced valuefixed by the recordC-01, C-41
growth rate that reaches the top of the 2030 band
arisings_cagr_band_high
0.279fraction per yearone evidenced valuefixed by the recordC-01, C-41
share of 2030 feedstock that is battery-factory production scrap rather than dead packs
scrap_share_2030
0.750fraction of feedstock0.370 to 0.750yesC-05, C-06, C-44
share of European arisings that reaches a European plant
collection_share
1.00fraction of arisings0.281 to 1.00yesC-52, C-17, C-28, C-82, C-41, C-14
black mass produced per tonne of feedstock entering pre-treatment
black_mass_yield
0.450tonnes per tonne0.400 to 0.500yesC-07
lithium compounds as a share of black mass
bm_li_content
0.040fraction of black mass0.020 to 0.060yesC-77
cobalt as a share of black mass
bm_co_content
0.125fraction of black mass0.050 to 0.200yesC-77
nickel as a share of black mass
bm_ni_content
0.100fraction of black mass0.050 to 0.150yesC-77
copper as a share of black mass
bm_cu_content
0.065fraction of black mass0.030 to 0.100fixed by the recordC-77, C-72, C-49
manganese as a share of black mass
bm_mn_content
0.060fraction of black mass0.020 to 0.100fixed by the recordC-77, C-72, C-49
lithium carbonate price
li_carbonate_price_usd_t
10,542US dollars per tonne8,259 to 85,000yesC-26, C-78, C-79
cobalt price
co_price_usd_lb
13.50US dollars per pound13.50 to 25.00yesC-80
nickel price
ni_price_usd_t
14,900US dollars per tonne14,900 to 16,000yesC-81
pounds in a tonne
lb_per_tonne
2,205pounds per tonneone evidenced valuefixed by the recordC-80
lithium recovered by hydrometallurgical refining
hydro_li_recovery
0.940fraction of contained lithium0.900 to 0.980yesC-19, C-58, C-68, C-70
cobalt and nickel recovered by hydrometallurgical refining
hydro_coni_recovery
0.970fraction of contained cobalt and nickel0.950 to 0.990yesC-72, C-58, C-60, C-70
lithium recovered by high-temperature smelting
smelt_li_recovery
0.150fraction of contained lithium0 to 0.300yesC-19, C-71
cobalt and nickel recovered by high-temperature smelting
smelt_coni_recovery
0.900fraction of contained cobalt and nickel0.850 to 0.950yesC-72
cathode material recovered by direct recycling
direct_cathode_recovery
0.970fraction of contained cathode0.950 to 0.990yesC-74
hydrometallurgical processing cost
hydro_cost_usd_t
3,609US dollars per tonne processed1,555 to 5,662yesC-73, C-89
smelting processing cost
smelt_cost_usd_t
938.5US dollars per tonne processed26.00 to 1,851yesC-73, C-71
direct-recycling processing cost
direct_cost_usd_t
4,447US dollars per tonne processedone evidenced valueyesC-73, C-74
technology readiness of hydrometallurgical refining
hydro_trl
8.00readiness level7.00 to 9.00yesC-71, C-76
technology readiness of high-temperature smelting
smelt_trl
9.00readiness levelone evidenced valueyesC-71
technology readiness of direct recycling
direct_trl
4.50readiness level4.00 to 5.00yesC-74, C-64
readiness a route must reach before it counts as industrially available
readiness_threshold
7.00readiness level5.00 to 9.00yesC-71, C-74, C-76
share of European refining that is hydrometallurgical
hydro_share_of_eu_refining
0.656fraction of refiningone evidenced valueyesC-76
share of European refining that is direct recycling
direct_share_of_eu_refining
0fraction of refiningone evidenced valueyesC-64, C-74
share of the lithium price a black-mass seller receives
li_payable
0.040fraction of the lithium price0.030 to 0.050yesC-20
share of contained nickel and cobalt value a black-mass seller receives
nico_payable
0.740fraction of contained nickel and cobalt value0.680 to 0.750yesC-20
share of European black mass refined in Europe rather than sold abroad
eu_refined_share
0.368fraction of black mass0 to 1.00yesC-58, C-60, C-61, C-62, C-63, C-65, C-66, C-67, C-59, C-21, C-18
installed European recycling capacity in 2024
eu_capacity_2024
270.0kt per yearone evidenced valuefixed by the recordC-82
European recycling capacity in 2030
eu_capacity_2030
520.0kt per year520.0 to 820.0yesC-82, C-01
announced European refinement capacity for 2030
announced_refinement_2030
820.0kt per yearone evidenced valuefixed by the recordC-82
utilisation operators report at many European plants today
reported_utilisation_ceiling
0.100fraction of capacityone evidenced valuefixed by the recordC-28
lithium recovery a European recycler must achieve
li_recovery_target_in_force
0.800fraction of contained lithium0.500 to 0.800yesC-09, C-55
lithium recycled-content minimum a new EU battery must carry
recycled_content_quota_li
0.060fraction of contained lithium0.060 to 0.120yesC-10, C-51
share of 2030 EU lithium demand recycling is published as able to cover
reference_coverage_share
0.140fraction of demandone evidenced valuefixed by the recordC-42
collection share of the declared reference basis
reference_basis_collection_share
1.00fraction of arisingsone evidenced valuefixed by the recordC-52
black-mass yield of the declared reference basis
reference_basis_black_mass_yield
0.450fraction of feedstock weightone evidenced valuefixed by the recordC-07
lithium content of the declared reference basis
reference_basis_bm_li_content
0.040fraction of black massone evidenced valuefixed by the recordC-77
lithium recovery of the declared reference basis
reference_basis_li_recovery
0.940fraction of contained lithiumone evidenced valuefixed by the recordC-19
bottom of the published black-mass yield band
reference_basis_yield_low
0.400fraction of feedstock weightone evidenced valuefixed by the recordC-07
top of the published black-mass yield band
reference_basis_yield_high
0.500fraction of feedstock weightone evidenced valuefixed by the recordC-07
bottom of the published lithium assay band
reference_basis_li_content_low
0.020fraction of black massone evidenced valuefixed by the recordC-77
top of the published lithium assay band
reference_basis_li_content_high
0.060fraction of black massone evidenced valuefixed by the recordC-77
bottom of the published hydrometallurgical lithium recovery band
reference_basis_li_recovery_low
0.900fraction of contained lithiumone evidenced valuefixed by the recordC-19
top of the published hydrometallurgical lithium recovery band
reference_basis_li_recovery_high
0.980fraction of contained lithiumone evidenced valuefixed by the recordC-19
lithium recovered from exported black mass by the buyer
foreign_li_recovery
0.938fraction of contained lithiumone evidenced valuefixed by the recordC-70, C-18
the EU's current end-of-life recycling input rate for critical raw materials
crm_input_rate
0.083fraction of consumptionone evidenced valuefixed by the recordC-13
the EU's binding 2030 domestic-recycling benchmark
crm_benchmark
0.250fraction of consumptionone evidenced valuefixed by the recordC-12, C-53
quota service ratio at or above which the report's reading holds
flip_holds_threshold
1.00ratioone evidenced valuefixed by the recordC-10, C-51
greenhouse-gas saving from recycling production scrap
ghg_saving_scrap
0.810fraction against virgin miningone evidenced valuefixed by the recordC-75
greenhouse-gas saving from recycling end-of-life batteries
ghg_saving_eol
0.580fraction against virgin mining0.580 to 0.810yesC-75
bottom of the published hydrometallurgical margin band
hydro_margin_low_usd_t
400.0US dollars per tonneone evidenced valuefixed by the recordC-89
top of the published hydrometallurgical margin band
hydro_margin_high_usd_t
3,300US dollars per tonneone evidenced valuefixed by the recordC-89
published hydrometallurgical operating cost
hydro_opex_published_usd_t
1,300US dollars per tonneone evidenced valuefixed by the recordC-89
published break-even scale for a hydrometallurgical plant
hydro_breakeven_kt
7.00kt per yearone evidenced valuefixed by the recordC-89, C-65
China's share of world black-mass refining capacity
global_refining_share_china
0.890fraction of capacityone evidenced valuefixed by the recordC-18

Model version 1.0.0, dated 2026-09-02. Every claim id above resolves to a numbered reference in the report, and the report is on the page you came from. Where this page and the shipped package disagree, the package is right: it ships a reference implementation whose 124 equations this page is checked against on every build.

The argument itself is in the report.

The model tells you what the numbers do. Europe’s Most Valuable Mine Is a Scrapheap tells you what they mean, what the evidence would not settle, and what would change our mind.

Back to the report