General Motors (GM) Other Operating Expenses (2010 - 2026)
General Motors' Other Operating Expenses came in at $44.37 billion for Q2 2026, up 3.5% from $42.86 billion a year earlier and up 14.9% from the prior quarter.
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Analysis
General Motors (GM) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, General Motors reported Other Operating Expenses of $174.88 billion, up 4.9% year-over-year; for FY2025, it was $173.42 billion, up 5.7% from FY2024.
- Other Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $164.04 billion in FY2024 (+7.4%), $152.7 billion in FY2023 (+12.5%), $135.75 billion in FY2022 (+24.4%) and $109.13 billion in FY2021 (+0.3%).
- The five-year range for quarterly Other Operating Expenses is $22.99 billion (Q3 2021) to $46.41 billion (Q4 2025).
- Year-over-year, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 5.4%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2022 (growth of 56.7%), and the weakest in Q3 2021 (a decline of 21.9%).
- Business Quant data shows GM's Other Operating Expenses at $38.63 billion (Q1 2026), $46.41 billion (Q4 2025) and $45.48 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.37 Bn |
| Mar 31, 2026 | 38.63 Bn |
| Dec 31, 2025 | 46.41 Bn |
| Sep 30, 2025 | 45.48 Bn |
| Jun 30, 2025 | 42.86 Bn |
| Mar 31, 2025 | 38.68 Bn |
| Dec 31, 2024 | 42.85 Bn |
| Sep 30, 2024 | 42.36 Bn |
| Jun 30, 2024 | 41.72 Bn |
| Mar 31, 2024 | 37.10 Bn |
| Dec 31, 2023 | 39.67 Bn |
| Sep 30, 2023 | 38.77 Bn |
| Jun 30, 2023 | 39.40 Bn |
| Mar 31, 2023 | 34.86 Bn |
| Dec 31, 2022 | 37.11 Bn |
| Sep 30, 2022 | 36.02 Bn |
| Jun 30, 2022 | 31.35 Bn |
| Mar 31, 2022 | 31.28 Bn |
| Dec 31, 2021 | 29.59 Bn |
| Sep 30, 2021 | 22.99 Bn |
API Access
General Motors Other Operating Expenses 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=other-operating-expenses&ticker=GM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();