General Motors (GM) Cash from Operations (2010 - 2026)
General Motors' Cash from Operations was $6.35 billion in Q2 2026, down 8.0% from $6.91 billion a year earlier but up 115.4% from the prior quarter.
General Motors (GM) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Motors' Cash from Operations was $23.2 billion through Jun 30, 2026, down 3.2% year-over-year; for FY2025, it was $26.87 billion, up 33.5% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $20.13 billion in FY2024 (-3.8%), $20.93 billion in FY2023 (+30.5%), $16.04 billion in FY2022 (+5.6%) and $15.19 billion in FY2021 (-8.9%).
- Quarterly Cash from Operations has moved between -$49 million (Q3 2021) and $7.59 billion (Q2 2023) over five years.
- Compared with a year earlier, Cash from Operations was higher in six of the last eight quarters, with growth averaging 16.7%.
- The best year-over-year quarter for Cash from Operations over five years was Q2 2023 (growth of 143.0%); the worst was Q2 2022 (a decline of 56.4%).
- Per Business Quant data, GM's Cash from Operations in the three quarters before Q2 2026 was $2.95 billion (Q1 2026), $6.8 billion (Q4 2025) and $7.1 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 4.70 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 3.37 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 1.84 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 6.35 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 507.14 Mn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 4.35 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | -487.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 954.00 Mn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | -2.91 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | 2.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.35 Bn |
| Mar 31, 2026 | 2.95 Bn |
| Dec 31, 2025 | 6.80 Bn |
| Sep 30, 2025 | 7.10 Bn |
| Jun 30, 2025 | 6.91 Bn |
| Mar 31, 2025 | 6.06 Bn |
| Dec 31, 2024 | 4.14 Bn |
| Sep 30, 2024 | 6.86 Bn |
| Jun 30, 2024 | 5.98 Bn |
| Mar 31, 2024 | 3.15 Bn |
| Dec 31, 2023 | 3.66 Bn |
| Sep 30, 2023 | 6.60 Bn |
| Jun 30, 2023 | 7.59 Bn |
| Mar 31, 2023 | 3.09 Bn |
| Dec 31, 2022 | 5.62 Bn |
| Sep 30, 2022 | 5.19 Bn |
| Jun 30, 2022 | 3.12 Bn |
| Mar 31, 2022 | 2.10 Bn |
| Dec 31, 2021 | 6.81 Bn |
| Sep 30, 2021 | -49.00 Mn |
General Motors Cash from Operations 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=cash-from-operations&ticker=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();