Tesla (TSLA) Research & Development (2010 - 2026)
Tesla's (TSLA) quarterly Research & Development came in at $2.4 billion in Q2 2026, up 49.21% year-over-year from $1.6 billion in Q2 2025, and up 21.84% quarter-over-quarter from $1.9 billion in Q1 2026.
Tesla (TSLA) Research & Development (2010 - 2026) Analysis & Trends
Tesla has disclosed Research & Development across 17 years of filings, most recently posting $2.4 billion for Q2 2026.
- In Q2 2026, Research & Development rose 49.21% year-over-year to $2.4 billion; the TTM figure through Jun 2026 stood at $7.7 billion (up 45.49% YoY), while the FY2025 annual figure was $6.4 billion, up 41.21% from the prior year.
- Research & Development came in at $2.4 billion for Q2 2026 at Tesla, up from $1.9 billion in the prior quarter.
- In the past five years, Research & Development ranged from a high of $2.4 billion in Q2 2026 to a low of $667.0 million in Q2 2022.
- Average Research & Development over 5 years is $1.2 billion, with a median of $1.1 billion recorded in 2023.
- The largest YoY upside for Research & Development was 58.39% in 2023 against a maximum downside of 10.87% in 2023.
- Over 5 years, Research & Development stood at $810.0 million in 2022, then jumped by 35.06% to $1.1 billion in 2023, then grew by 16.64% to $1.3 billion in 2024, then jumped by 39.73% to $1.8 billion in 2025, then soared by 32.98% to $2.4 billion in 2026.
- Per Business Quant data, the three most recent Research & Development figures were $2.4 billion in Q2 2026, $1.9 billion in Q1 2026, and $1.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 2.37 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | - |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 252.82 Mn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | -1.53 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 | 466.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | - |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 1.52 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | -409.08 Mn |
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 |
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_KEY
import 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();