General Motors (GM) EBITDA (2010 - 2026)
General Motors' (GM) quarterly EBITDA came in at $1.5 billion in Q2 2026, down 31.41% on a YoY basis from $2.1 billion in Q2 2025, and down 50.14% quarter-over-quarter from $2.9 billion in Q1 2026.
General Motors (GM) EBITDA (2010 - 2026) Analysis & Trends
General Motors (GM) has reported EBITDA for 17 consecutive years, with $1.5 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBITDA fell 31.41% year-over-year to $1.5 billion; the trailing twelve-month figure through Jun 2026 stood at $1.8 billion (down 82.96% YoY), and the FY2025 full-year result was $2.9 billion, down 77.24% from the prior year.
- EBITDA retreated to $1.5 billion in Q2 2026 per GM's latest filing, from $2.9 billion in the prior quarter.
- Across five years, EBITDA topped out at $3.9 billion in Q2 2024 and bottomed at -$3.6 billion in Q4 2025.
- Historically, EBITDA has averaged $2.2 billion across 5 years, with a median of $2.6 billion in 2022.
- The sharpest annual moves came in 2022 and 2025: EBITDA soared 106.2% in 2022, then sank 339.55% in 2025.
- Over 5 years, EBITDA stood at $2.6 billion in 2022, then sank by 64.84% to $918.0 million in 2023, then soared by 65.8% to $1.5 billion in 2024, then tumbled by 339.55% to -$3.6 billion in 2025, then surged by 140.02% to $1.5 billion in 2026.
- According to Business Quant data, EBITDA over the past three periods registered $1.5 billion, $2.9 billion, and -$3.6 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 398.00 Mn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | 6.67 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 703.29 Mn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | 3.33 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 1.46 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | 638.00 Mn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | -836.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | 1.73 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 815.98 Mn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn | -337.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Bn |
| Mar 31, 2026 | 2.93 Bn |
| Dec 31, 2025 | -3.65 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 2.13 Bn |
| Mar 31, 2025 | 3.35 Bn |
| Dec 31, 2024 | 1.52 Bn |
| Sep 30, 2024 | 3.65 Bn |
| Jun 30, 2024 | 3.87 Bn |
| Mar 31, 2024 | 3.74 Bn |
| Dec 31, 2023 | 918.00 Mn |
| Sep 30, 2023 | 3.01 Bn |
| Jun 30, 2023 | 2.79 Bn |
| Mar 31, 2023 | 2.58 Bn |
| Dec 31, 2022 | 2.61 Bn |
| Sep 30, 2022 | 3.39 Bn |
| Jun 30, 2022 | 2.12 Bn |
| Mar 31, 2022 | 2.20 Bn |
| Dec 31, 2021 | 1.52 Bn |
| Sep 30, 2021 | 1.65 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();