General Motors (GM) EBITDA (2015 - 2026)
General Motors' EBITDA was $4.8 billion in Q3 2026, up 110.8% from $2.28 billion a year earlier and up 73.9% from the prior quarter.
General Motors (GM) EBITDA (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Motors' EBITDA was $9.34 billion through Sep 30, 2026, down 27.5% 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%).
- The Q3 2026 figure marks the highest quarterly EBITDA since Q3 2024.
- Compared with a year earlier, EBITDA was higher in two of the last seven quarters, with growth averaging 2.8%.
- The best year-over-year quarter for EBITDA over five years was Q3 2026 (growth of 110.8%); the worst was Q3 2025 (a decline of 53.1%).
- Per Business Quant data, GM's EBITDA in the three quarters before Q3 2026 was $2.76 billion (Q2 2026), $4.23 billion (Q1 2026) and -$2.45 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,304.64 Bn | 1,130.67 Bn | 4.75 Bn | 2.02 Bn |
| 2 | General Motors | 78.04 Bn | -26.58 Bn | 9.28 Bn | 4.80 Bn |
| 3 | Ferrari | 71.80 Bn | 64.29 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Ford Motor | 49.88 Bn | -92.62 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 45.70 Bn | -104.11 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 25.55 Bn | -380.95 Bn | 20.95 Bn | 10.70 Bn |
| 7 | Rivian Automotive | 18.92 Bn | -2.80 Bn | 176.00 Mn | -630.00 Mn |
| 8 | Magna International | 18.44 Bn | 12.47 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.64 Bn | -147.80 Bn | 3.94 Bn | 1.43 Bn |
| 10 | Li Auto | 11.25 Bn | -37.70 Bn | 417.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.80 Bn |
| 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 |
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_KEY
import 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();