Tesla (TSLA) Asset Writedowns and Impairment (2010 - 2026)
Tesla's Asset Writedowns and Impairment was $100 million in Q2 2026, down 23.7% from $131 million a year earlier but up 29.9% from the prior quarter.
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Analysis
Tesla (TSLA) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tesla's Asset Writedowns and Impairment was $291 million through Jun 30, 2026, down 32.6% year-over-year; for FY2025, it was $362 million, up 8.1% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $335 million in FY2024 (-27.6%), $463 million in FY2023 (+161.6%), $177 million in FY2022 (+26.4%) and $140 million in FY2021 (-30.7%).
- Quarterly Asset Writedowns and Impairment has moved between $12 million (Q4 2021) and $167 million (Q2 2023) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment has declined for four straight quarters, with an average decline of 5.7% over the last eight quarters.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q2 2023 (growth of 568.0%); the worst was Q4 2021 (a decline of 80.6%).
- Per Business Quant data, TSLA's Asset Writedowns and Impairment in the three quarters before Q2 2026 was $77 million (Q1 2026), $49 million (Q4 2025) and $65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.00 Mn |
| Mar 31, 2026 | 77.00 Mn |
| Dec 31, 2025 | 49.00 Mn |
| Sep 30, 2025 | 65.00 Mn |
| Jun 30, 2025 | 131.00 Mn |
| Mar 31, 2025 | 112.00 Mn |
| Dec 31, 2024 | 88.00 Mn |
| Sep 30, 2024 | 101.00 Mn |
| Jun 30, 2024 | 78.00 Mn |
| Mar 31, 2024 | 68.00 Mn |
| Dec 31, 2023 | 102.00 Mn |
| Sep 30, 2023 | 144.00 Mn |
| Jun 30, 2023 | 167.00 Mn |
| Mar 31, 2023 | 50.00 Mn |
| Dec 31, 2022 | 59.00 Mn |
| Sep 30, 2022 | 60.00 Mn |
| Jun 30, 2022 | 25.00 Mn |
| Mar 31, 2022 | 33.00 Mn |
| Dec 31, 2021 | 12.00 Mn |
| Sep 30, 2021 | 40.00 Mn |
API Access
Tesla Asset Writedowns and Impairment API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "TSLA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();