General Motors (GM) EV to EBITDA (2010 - 2026)
General Motors' (GM) quarterly EV to EBITDA came in at 30.54 in Q2 2026, up 265.85% on a YoY basis from 8.35 in Q2 2025, and up 99.38% quarter-over-quarter from 15.32 in Q1 2026.
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Analysis
General Motors (GM) EV to EBITDA (2010 - 2026) Analysis & Trends
General Motors (GM) has reported EV to EBITDA for 17 consecutive years, with 30.54 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA rose 265.85% year-over-year to 30.54; the trailing twelve-month figure through Jun 2026 stood at 24.55 (up 1372.79% YoY), and the FY2025 full-year result was 16.46, up 641.5% from the prior year.
- EV to EBITDA climbed to 30.54 in Q2 2026 per GM's latest filing, from 15.32 in the prior quarter.
- Across five years, EV to EBITDA topped out at 30.54 in Q2 2026 and bottomed at 13.14 in Q4 2025.
- Historically, EV to EBITDA has averaged 10.58 across 5 years, with a median of 8.05 in 2023.
- The widest YoY moves for EV to EBITDA: up 387.54% in 2025, down 170.44% in 2025.
- Over 5 years, EV to EBITDA stood at 6.19 in 2022, then surged by 195.1% to 18.25 in 2023, then climbed by 2.17% to 18.65 in 2024, then tumbled by 170.44% to 13.14 in 2025, then soared by 332.48% to 30.54 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 30.54, 15.32, and 13.14 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | 30.54 |
| Mar 31, 2026 | 15.32 |
| Dec 31, 2025 | -13.14 |
| Sep 30, 2025 | 27.15 |
| Jun 30, 2025 | 8.35 |
| Mar 31, 2025 | 5.35 |
| Dec 31, 2024 | 18.65 |
| Sep 30, 2024 | 5.57 |
| Jun 30, 2024 | 5.52 |
| Mar 31, 2024 | 7.07 |
| Dec 31, 2023 | 18.25 |
| Sep 30, 2023 | 5.05 |
| Jun 30, 2023 | 7.76 |
| Mar 31, 2023 | 9.08 |
| Dec 31, 2022 | 6.19 |
| Sep 30, 2022 | 5.76 |
| Jun 30, 2022 | 9.89 |
| Mar 31, 2022 | 18.05 |
| Dec 31, 2021 | 38.99 |
| Sep 30, 2021 | 37.26 |
API Access
General Motors 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=GM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "GM", "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=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();