Tesla (TSLA) EV to EBITDA (2010 - 2026)
Tesla's (TSLA) quarterly EV to EBITDA came in at 3312.98 in Q2 2026, up 209.49% year-over-year from 1070.48 in Q2 2025, and up 130.62% quarter-over-quarter from 1436.56 in Q1 2026.
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Analysis
Tesla (TSLA) EV to EBITDA (2010 - 2026) Analysis & Trends
Tesla has disclosed EV to EBITDA across 17 years of filings, most recently posting 3312.98 for Q2 2026.
- In Q2 2026, EV to EBITDA rose 209.49% year-over-year to 3312.98; the TTM figure through Jun 2026 stood at 301.59 (up 71.61% YoY), while the FY2025 annual figure was 377.38, up 111.45% from the prior year.
- EV to EBITDA came in at 3312.98 for Q2 2026 at Tesla, up from 1436.56 in the prior quarter.
- In the past five years, EV to EBITDA ranged from a high of 3312.98 in Q2 2026 to a low of 94.42 in Q4 2022.
- Average EV to EBITDA over 5 years is 782.13, with a median of 405.84 recorded in 2023.
- Year-over-year, EV to EBITDA slumped 77.04% in 2022 and jumped 338.31% in 2025.
- Over 5 years, EV to EBITDA stood at 94.42 in 2022, then jumped by 291.53% to 369.69 in 2023, then surged by 115.8% to 797.78 in 2024, then jumped by 46.21% to 1166.44 in 2025, then jumped by 184.03% to 3312.98 in 2026.
- Per Business Quant data, the three most recent EV to EBITDA figures were 3312.98 in Q2 2026, 1436.56 in Q1 2026, and 1166.44 in Q4 2025.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,312.98 |
| Mar 31, 2026 | 1,436.56 |
| Dec 31, 2025 | 1,166.44 |
| Sep 30, 2025 | 885.03 |
| Jun 30, 2025 | 1,070.48 |
| Mar 31, 2025 | 2,000.51 |
| Dec 31, 2024 | 797.78 |
| Sep 30, 2024 | 296.69 |
| Jun 30, 2024 | 375.10 |
| Mar 31, 2024 | 456.41 |
| Dec 31, 2023 | 369.69 |
| Sep 30, 2023 | 436.58 |
| Jun 30, 2023 | 337.03 |
| Mar 31, 2023 | 238.67 |
| Dec 31, 2022 | 94.42 |
| Sep 30, 2022 | 221.64 |
| Jun 30, 2022 | 277.18 |
| Mar 31, 2022 | 305.09 |
| Dec 31, 2021 | 411.32 |
| Sep 30, 2021 | 380.89 |
API Access
Tesla EV to EBITDA 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=ev-to-ebitda&ticker=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();