Tesla (TSLA) Enterprise Value (2010 - 2026)
Tesla (TSLA) posted Enterprise Value of $1.33 trillion for Q2 2026, up 33.6% from $993.23 billion a year earlier but down 2.4% from the prior quarter.
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Analysis
Tesla (TSLA) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Tesla was $1.2 trillion, up 35.0% year-over-year; for FY2025, it was $1.65 trillion, up 30.1% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- In prior years, Tesla's Enterprise Value was $1.27 trillion in FY2024 (+65.6%), $765.9 billion in FY2023 (+103.8%), $375.87 billion in FY2022 (-65.2%) and $1.08 trillion in FY2021 (+61.6%).
- Quarterly Enterprise Value has run from a low of $375.87 billion in Q4 2022 to a high of $1.65 trillion in Q4 2025 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last eight quarters, with growth averaging 49.3% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2023, with growth of 103.8%; the weakest was Q4 2022, with a decline of 65.2%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $1.36 trillion (Q1 2026), $1.65 trillion (Q4 2025) and $1.44 trillion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 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 |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,326.49 Bn |
| Mar 31, 2026 | 1,359.59 Bn |
| Dec 31, 2025 | 1,650.25 Bn |
| Sep 30, 2025 | 1,443.07 Bn |
| Jun 30, 2025 | 993.23 Bn |
| Mar 31, 2025 | 803.49 Bn |
| Dec 31, 2024 | 1,268.65 Bn |
| Sep 30, 2024 | 811.51 Bn |
| Jun 30, 2024 | 607.51 Bn |
| Mar 31, 2024 | 537.36 Bn |
| Dec 31, 2023 | 765.90 Bn |
| Sep 30, 2023 | 772.55 Bn |
| Jun 30, 2023 | 817.20 Bn |
| Mar 31, 2023 | 643.44 Bn |
| Dec 31, 2022 | 375.87 Bn |
| Sep 30, 2022 | 819.50 Bn |
| Jun 30, 2022 | 685.86 Bn |
| Mar 31, 2022 | 1,102.40 Bn |
| Dec 31, 2021 | 1,080.15 Bn |
| Sep 30, 2021 | 769.75 Bn |
API Access
Tesla Enterprise Value 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=enterprise-value&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();