Tesla (TSLA) Operating Expenses (2010 - 2026)
Tesla's (TSLA) quarterly Operating Expenses came in at $4.4 billion in Q2 2026, up 47.31% year-over-year from $3.0 billion in Q2 2025, and up 15.19% quarter-over-quarter from $3.8 billion in Q1 2026.
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Analysis
Tesla (TSLA) Operating Expenses (2010 - 2026) Analysis & Trends
Tesla has disclosed Operating Expenses across 17 years of filings, most recently posting $4.4 billion for Q2 2026.
- In Q2 2026, Operating Expenses rose 47.31% year-over-year to $4.4 billion; the TTM figure through Jun 2026 stood at $15.2 billion (up 43.24% YoY), while the FY2025 annual figure was $12.7 billion, up 22.8% from the prior year.
- Operating Expenses came in at $4.4 billion for Q2 2026 at Tesla, up from $3.8 billion in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $4.4 billion in Q2 2026 to a low of $1.7 billion in Q3 2022.
- Average Operating Expenses over 5 years is $2.6 billion, with a median of $2.5 billion recorded in 2023.
- Year-over-year, Operating Expenses retreated 16.03% in 2022 and surged 50.44% in 2025.
- Over 5 years, Operating Expenses stood at $1.9 billion in 2022, then grew by 26.55% to $2.4 billion in 2023, then climbed by 9.35% to $2.6 billion in 2024, then jumped by 38.67% to $3.6 billion in 2025, then climbed by 20.92% to $4.4 billion in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $4.4 billion in Q2 2026, $3.8 billion in Q1 2026, and $3.6 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | 78.18 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | -757.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.35 Bn |
| Mar 31, 2026 | 3.78 Bn |
| Dec 31, 2025 | 3.60 Bn |
| Sep 30, 2025 | 3.43 Bn |
| Jun 30, 2025 | 2.96 Bn |
| Mar 31, 2025 | 2.75 Bn |
| Dec 31, 2024 | 2.60 Bn |
| Sep 30, 2024 | 2.28 Bn |
| Jun 30, 2024 | 2.97 Bn |
| Mar 31, 2024 | 2.53 Bn |
| Dec 31, 2023 | 2.37 Bn |
| Sep 30, 2023 | 2.41 Bn |
| Jun 30, 2023 | 2.13 Bn |
| Mar 31, 2023 | 1.85 Bn |
| Dec 31, 2022 | 1.88 Bn |
| Sep 30, 2022 | 1.69 Bn |
| Jun 30, 2022 | 1.77 Bn |
| Mar 31, 2022 | 1.86 Bn |
| Dec 31, 2021 | 2.23 Bn |
| Sep 30, 2021 | 1.66 Bn |
API Access
Tesla Operating 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=operating-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();