Tesla (TSLA) Research & Development (2010 - 2026)
Tesla's Research & Development was $2.37 billion in Q2 2026, up 49.2% from $1.59 billion a year earlier and up 21.8% from the prior quarter.
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Analysis
Tesla (TSLA) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tesla's Research & Development was $7.73 billion through Jun 30, 2026, up 45.5% year-over-year; for FY2025, it came in at $6.41 billion, up 41.2% from FY2024.
- Research & Development has now increased for six consecutive years, with a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- In earlier years, Research & Development was $4.54 billion in FY2024 (+14.4%), $3.97 billion in FY2023 (+29.1%), $3.08 billion in FY2022 (+18.6%) and $2.59 billion in FY2021 (+73.9%).
- The Q2 2026 figure marks the highest quarterly Research & Development in data going back to Q2 2010.
- Compared with a year earlier, Research & Development has increased for seven straight quarters, with growth averaging 32.6% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2021 (growth of 66.9%); the worst was Q1 2023 (a decline of 10.9%).
- Per Business Quant data, TSLA's Research & Development in the three quarters before Q2 2026 was $1.95 billion (Q1 2026), $1.78 billion (Q4 2025) and $1.63 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 2.37 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | - |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 252.82 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | - |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | -1.53 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 | 466.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 1.52 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | -409.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.37 Bn |
| Mar 31, 2026 | 1.95 Bn |
| Dec 31, 2025 | 1.78 Bn |
| Sep 30, 2025 | 1.63 Bn |
| Jun 30, 2025 | 1.59 Bn |
| Mar 31, 2025 | 1.41 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 1.04 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 943.00 Mn |
| Mar 31, 2023 | 771.00 Mn |
| Dec 31, 2022 | 810.00 Mn |
| Sep 30, 2022 | 733.00 Mn |
| Jun 30, 2022 | 667.00 Mn |
| Mar 31, 2022 | 865.00 Mn |
| Dec 31, 2021 | 740.00 Mn |
| Sep 30, 2021 | 611.00 Mn |
API Access
Tesla Research & Development 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=research-and-development&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();