Tesla (TSLA) Enterprise Value (2010 - 2026)
Tesla's (TSLA) quarterly Enterprise Value came in at $1318.6 billion in Q2 2026, up 33.45% year-over-year from $988.1 billion in Q2 2025, and down 2.46% quarter-over-quarter from $1351.8 billion in Q1 2026.
Tesla (TSLA) Enterprise Value (2010 - 2026) Analysis & Trends
Tesla has disclosed Enterprise Value across 17 years of filings, most recently posting $1318.6 billion for Q2 2026.
- In Q2 2026, Enterprise Value rose 33.45% year-over-year to $1318.6 billion; the TTM figure through Jun 2026 stood at $1318.6 billion (up 33.45% YoY), while the FY2025 annual figure was $1643.5 billion, up 30.14% from the prior year.
- Enterprise Value came in at $1318.6 billion for Q2 2026 at Tesla, down from $1351.8 billion in the prior quarter.
- In the past five years, Enterprise Value ranged from a high of $1643.5 billion in Q4 2025 to a low of $368.3 billion in Q4 2022.
- Average Enterprise Value over 5 years is $927.1 billion, with a median of $807.3 billion recorded in 2023.
- Year-over-year, Enterprise Value sank 65.73% in 2022 and soared 107.16% in 2023.
- Over 5 years, Enterprise Value stood at $368.3 billion in 2022, then soared by 107.16% to $763.0 billion in 2023, then surged by 65.51% to $1262.9 billion in 2024, then jumped by 30.14% to $1643.5 billion in 2025, then retreated by 19.77% to $1318.6 billion in 2026.
- Per Business Quant data, the three most recent Enterprise Value figures were $1318.6 billion in Q2 2026, $1351.8 billion in Q1 2026, and $1643.5 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 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 |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,318.57 Bn |
| Mar 31, 2026 | 1,351.81 Bn |
| Dec 31, 2025 | 1,643.51 Bn |
| Sep 30, 2025 | 1,437.29 Bn |
| Jun 30, 2025 | 988.05 Bn |
| Mar 31, 2025 | 798.20 Bn |
| Dec 31, 2024 | 1,262.89 Bn |
| Sep 30, 2024 | 806.11 Bn |
| Jun 30, 2024 | 602.03 Bn |
| Mar 31, 2024 | 534.46 Bn |
| Dec 31, 2023 | 763.05 Bn |
| Sep 30, 2023 | 770.12 Bn |
| Jun 30, 2023 | 808.55 Bn |
| Mar 31, 2023 | 635.81 Bn |
| Dec 31, 2022 | 368.34 Bn |
| Sep 30, 2022 | 817.40 Bn |
| Jun 30, 2022 | 682.97 Bn |
| Mar 31, 2022 | 1,099.24 Bn |
| Dec 31, 2021 | 1,074.77 Bn |
| Sep 30, 2021 | 763.31 Bn |
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_KEY
import 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();