Tesla (TSLA) Operating Expenses (2010 - 2026)
Tesla's Operating Expenses came in at $4.35 billion for Q2 2026, up 47.3% from $2.96 billion a year earlier and up 15.2% from the prior quarter.
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Analysis
Tesla (TSLA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tesla reported Operating Expenses of $15.16 billion, up 43.2% year-over-year; for FY2025, it was $12.74 billion, up 22.8% from FY2024.
- Operating Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $10.37 billion in FY2024 (+18.3%), $8.77 billion in FY2023 (+21.8%), $7.2 billion in FY2022 (+1.6%) and $7.08 billion in FY2021 (+52.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2025 (growth of 50.4%), and the weakest in Q4 2022 (a decline of 16.0%).
- Business Quant data shows TSLA's Operating Expenses at $3.78 billion (Q1 2026), $3.6 billion (Q4 2025) and $3.43 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 4.35 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 46.57 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 47.66 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | -34.70 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 78.18 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | 273.20 Mn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 1.02 Bn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 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();