General Motors (GM) EBITDA (2015 - 2026)
General Motors' EBITDA was $2.76 billion in Q2 2026, down 17.1% from $3.33 billion a year earlier and down 34.7% from the prior quarter.
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Analysis
General Motors (GM) EBITDA (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Motors' EBITDA was $6.82 billion through Jun 30, 2026, down 55.9% year-over-year; for FY2025, it came in at $7.81 billion, down 55.6% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In earlier years, EBITDA was $17.58 billion in FY2024 (+23.8%), $14.2 billion in FY2023 (-6.1%), $15.12 billion in FY2022 (-2.0%) and $15.42 billion in FY2021 (+11.5%).
- Quarterly EBITDA has moved between -$2.45 billion (Q4 2025) and $5.07 billion (Q2 2024) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last seven quarters, with an average decline of 10.8%.
- The best year-over-year quarter for EBITDA over five years was Q3 2022 (growth of 41.5%); the worst was Q3 2025 (a decline of 53.1%).
- Per Business Quant data, GM's EBITDA in the three quarters before Q2 2026 was $4.23 billion (Q1 2026), -$2.45 billion (Q4 2025) and $2.28 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 2.02 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 2.76 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 10.70 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 | -599.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Bn |
| Mar 31, 2026 | 4.23 Bn |
| Dec 31, 2025 | -2.45 Bn |
| Sep 30, 2025 | 2.28 Bn |
| Jun 30, 2025 | 3.33 Bn |
| Mar 31, 2025 | 4.55 Bn |
| Dec 31, 2024 | 2.72 Bn |
| Sep 30, 2024 | 4.85 Bn |
| Jun 30, 2024 | 5.07 Bn |
| Mar 31, 2024 | 4.94 Bn |
| Dec 31, 2023 | 2.12 Bn |
| Sep 30, 2023 | 4.21 Bn |
| Jun 30, 2023 | 3.99 Bn |
| Mar 31, 2023 | 3.78 Bn |
| Dec 31, 2022 | 3.81 Bn |
| Sep 30, 2022 | 4.59 Bn |
| Jun 30, 2022 | 3.32 Bn |
| Mar 31, 2022 | 3.40 Bn |
| Dec 31, 2021 | 2.82 Bn |
| Sep 30, 2021 | 3.25 Bn |
API Access
General Motors 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=ebitda&ticker=GM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();