Tesla (TSLA) Accumulated Expenses (2010 - 2026)
Tesla's (TSLA) quarterly Accumulated Expenses came in at $15.3 billion in Q2 2026, up 32.44% year-over-year from $11.5 billion in Q2 2025, and up 4.82% quarter-over-quarter from $14.6 billion in Q1 2026.
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Analysis
Tesla (TSLA) Accumulated Expenses (2010 - 2026) Analysis & Trends
Tesla has disclosed Accumulated Expenses across 17 years of filings, most recently posting $15.3 billion for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 32.44% year-over-year to $15.3 billion; the TTM figure through Jun 2026 stood at $15.3 billion (up 32.44% YoY), while the FY2025 annual figure was $13.3 billion, up 23.84% from the prior year.
- Accumulated Expenses came in at $15.3 billion for Q2 2026 at Tesla, up from $14.6 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $15.3 billion in Q2 2026 to a low of $5.9 billion in Q1 2022.
- Average Accumulated Expenses over 5 years is $9.8 billion, with a median of $9.4 billion recorded in 2024.
- Year-over-year, Accumulated Expenses soared 45.0% in 2022 and gained 10.66% in 2023.
- Over 5 years, Accumulated Expenses stood at $8.2 billion in 2022, then rose by 10.66% to $9.1 billion in 2023, then climbed by 18.09% to $10.7 billion in 2024, then increased by 23.84% to $13.3 billion in 2025, then gained by 14.89% to $15.3 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $15.3 billion in Q2 2026, $14.6 billion in Q1 2026, and $13.3 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.26 Bn |
| Mar 31, 2026 | 14.55 Bn |
| Dec 31, 2025 | 13.28 Bn |
| Sep 30, 2025 | 12.79 Bn |
| Jun 30, 2025 | 11.52 Bn |
| Mar 31, 2025 | 10.80 Bn |
| Dec 31, 2024 | 10.72 Bn |
| Sep 30, 2024 | 10.60 Bn |
| Jun 30, 2024 | 9.62 Bn |
| Mar 31, 2024 | 9.24 Bn |
| Dec 31, 2023 | 9.08 Bn |
| Sep 30, 2023 | 7.64 Bn |
| Jun 30, 2023 | 7.66 Bn |
| Mar 31, 2023 | 7.32 Bn |
| Dec 31, 2022 | 8.21 Bn |
| Sep 30, 2022 | 6.25 Bn |
| Jun 30, 2022 | 6.04 Bn |
| Mar 31, 2022 | 5.91 Bn |
| Dec 31, 2021 | 5.72 Bn |
| Sep 30, 2021 | 5.44 Bn |
API Access
Tesla Accumulated Expenses 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=accumulated-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();