Geotab tracked 22,700 vehicles and watched its own estimate of annual EV battery degradation move from 1.8% in 2024 to 2.3% in 2026. Every lease, battery backed bond, and clean transportation fund built on the older number was priced on a degradation curve the data has since disproved. A 0.5 point gap looks trivial until it compounds over the holding period those products assume. The real question is which issuers already cushioned for this and which ones are still pricing off 2024.
Geotab tracked 22,700 vehicles in its 2026 update and found average annual battery degradation rose to 2.3%, up from 1.8% reported in its 2024 study. The firm points to a larger dataset and changing usage patterns, specifically more fast charging, as the drivers behind the shift. A 0.5 point move sounds small until it compounds over a multi-year loan term, which is exactly what residual value models and asset backed securities do.
Here's the part that matters most. Leases, residual value guarantees, battery recycling funds, clean transportation ETFs, all of these were priced using degradation assumptions that are now measurably out of date. That's not a scandal, it's a mechanical lag between field data and financial modeling. But it creates a real opportunity for investors who can tell which products absorb that lag and which ones pass it straight through to the end buyer.
Why Does Degradation Data Move Faster Than Pricing Models?
Geotab Degradation Estimate Jump: 2024 vs 2026
Average Annual Battery Degradation Estimate
|
2024 Study 1.8% per year |
2026 Update 2.3% per year |
Gap vs prior model
+0.5 points
Based on 22,700 vehicles tracked. Driven primarily by increased fast charging frequency.
Source: Geotab 2024 and 2026 EV Battery Degradation Studies
Automakers and leasing companies set residual value estimates years before a vehicle hits the road, often using lab tested degradation curves rather than fleet level field data. Geotab's dataset is one of the largest independent, real world collections tracking this, and its revision from 1.8% to 2.3% annual degradation tells you the inputs underwriters have been using were stale almost as soon as they were published.
- 22,700 vehicles tracked across Geotab's combined 2024 and 2026 datasets
- 1.8% average annual degradation reported in the 2024 study
- 2.3% average annual degradation reported in the 2026 update
- A multi-year holding period, the kind of longer-term horizon EV lease residual models tend to assume, with the exact span varying by issuer and plan
- Fast charging frequency. Geotab names this specifically as the primary driver behind the increase.
Compound a 2.3% annual decline instead of 1.8% over several years and the difference in retained battery capacity isn't trivial. It's a meaningful loss of usable range that nobody priced in at origination. Leasing companies that set residual values low enough to cushion this will outperform their own forecasts and look conservative in hindsight. Leasing companies that priced closer to the old 1.8% assumption are the ones facing writedowns when the vehicles come back off lease and resale values disappoint. Retail investors holding corporate bonds or asset backed paper tied to EV fleets have no easy way to see which category a given issuer falls into, because degradation assumptions are rarely disclosed line by line in offering documents. The practical move: check the vehicle age and charging profile behind any fleet backed note before assuming the stated residual value still holds.
That disclosure gap is also why thematic funds built around the EV transition deserve a second look. A fund fact sheet won't tell you which degradation assumption its holdings are exposed to, and the exposure itself is less direct than most investors assume.
Clean Transportation Funds Hold Less Direct Exposure Than Investors Assume
Compounding Effect: Retained Battery Capacity at 1.8% vs 2.3% Annual Decline
Retained Capacity Over an 8 Year Holding Period
| 1.8% per year (old model) | 2.3% per year (new estimate) |
Year 0: 100%
Start
Year 4
~93%
Year 8
~86%
Year 8
~82%
After 8 years, the 0.5 point annual gap compounds into roughly a 4 point difference in retained battery capacity, capacity nobody priced in at origination.
Source: Illustrative compounding calculation based on Geotab 2024 and 2026 degradation estimates
Funds marketed around the EV transition, broad clean transportation or future mobility ETFs for example, typically hold a mix of automakers, battery manufacturers, and charging infrastructure names rather than any direct exposure to battery degradation risk itself. That distinction matters more than most fund fact sheets let on.
- Automaker equity, exposed indirectly through warranty reserves and resale guarantees
- Battery cell manufacturers, exposed through unit economics rather than fleet performance. Worth checking against a given fund's actual holdings before assuming the connection is strong.
- Charging network operators, whose usage volumes are shaped by fast charging habits, the same habits Geotab links to faster degradation
- Recycling and second life battery firms, whose addressable market expands if degradation runs hotter than modeled
- Expense ratios that vary by fund for most thematic clean transportation ETFs, and get collected regardless of which holdings turn out right or wrong about degradation
Notice what's missing from that list: a clean, direct way to bet on or hedge battery degradation itself. The exposure is always indirect, filtered through corporate balance sheets that absorb or pass along the risk in ways a fund fact sheet doesn't break out. An investor buying a thematic EV fund today isn't buying a view on battery chemistry. They're buying a bundle of corporate credit and equity risk where degradation is one input among dozens, and the fund manufacturer collects its expense ratio whether that input was modeled correctly or not. That's the recurring pattern across green finance products: the fee is certain, the underlying performance driver isn't.
One of those indirect holdings, charging network operators, is where this disconnect shows up most clearly in the actual numbers the operators report.
Fast Charging Growth Is Reshaping Risk Without Anyone Naming It
Clean Transportation Fund Exposure Path to Battery Degradation Risk
How Degradation Risk Reaches Fund Investors
1. Fleet Data: Real degradation rises 1.8% to 2.3%
2. Leases and ABS: Priced on stale residual curves
3. Automakers: Indirect hit via warranty reserves and resale guarantees
4. Battery Manufacturers: Indirect hit via unit economics
5. Clean Transportation Fund: Diluted, undisclosed exposure to end investor
Source: Article analysis of EV transition fund holdings structure
Geotab's own explanation for the jump from 1.8% to 2.3% centers on usage pattern shifts, and fast charging gets named specifically. This is where the mechanics get interesting for anyone holding charging infrastructure exposure, because the growth metric charging network operators report to investors, sessions per day, utilization rate, revenue per stall, is the same behavior degrading the batteries sitting in the vehicles these companies serve.
Fast charging networks have scaled aggressively since 2023, pushed by federal infrastructure funding in the United States and by competitive buildout among operators in Europe and China. Operators report rising utilization as a growth story, and in revenue terms it is one. But a growth story measured in kilowatt hours delivered isn't the same as a growth story measured in long term vehicle value preserved, and these two metrics are now pulling in opposite directions.
So should investors treat rising fast charger utilization as unambiguously bullish for the charging network operator and bearish for everything downstream? Depends on contract structure. Charging operators with usage based revenue models benefit directly from more fast charging sessions regardless of what it does to the vehicles involved. Automakers offering battery warranties tied to capacity thresholds, with the exact guarantee varying by manufacturer and model, carry the opposite exposure. Faster degradation pulls warranty claims forward and raises the odds that reserves set years ago turn out to be undersized.
That divergence, one layer of the value chain benefiting from the same behavior that creates a liability for another layer, is the actual investable insight here, not the headline degradation number itself. Most thematic funds hold both layers simultaneously, netting the effect to something close to invisible on a quarterly report.
None of this means the EV transition is mispriced in some dramatic, correctable way. It means the data feeding financial models updates in discrete jumps, 2024 to 2026 in Geotab's case, while bond coupons and lease terms get set continuously in between. The edge available to a retail investor isn't predicting the next degradation number. It's recognizing that whoever priced a battery backed product using the 1.8% assumption is now sitting on a model that field data has already revised upward. Before buying anything tied to EV residual value, the question to ask isn't whether degradation is rising, Geotab already answered that, it's which year's assumption is baked into the price in front of you.