General Motors (GM) Other Operating Expenses (2010 - 2026)
General Motors' Other Operating Expenses came in at $3.65 billion for Q3 2026, up 3.0% from $3.54 billion a year earlier but down 0.7% 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 Sep 30, 2026, General Motors reported Other Operating Expenses of $14.62 billion, up 4.4% year-over-year; for FY2025, it came in at $14.3 billion, up 10.2% from FY2024.
- Other Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $12.97 billion in FY2024 (+14.0%), $11.37 billion in FY2023 (+28.3%), $8.86 billion in FY2022 (+3.3%) and $8.58 billion in FY2021 (-23.9%).
- The five-year range for quarterly Other Operating Expenses is $1.93 billion (Q1 2022) to $3.7 billion (Q4 2025).
- Year-over-year, Other Operating Expenses has increased for 18 consecutive quarters, with growth averaging 7.7% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2023 (growth of 35.7%), and the weakest in Q1 2022 (a decline of 15.5%).
- Business Quant data shows GM's Other Operating Expenses at $3.67 billion (Q2 2026), $3.6 billion (Q1 2026) and $3.7 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,290.56 Bn | 1,116.59 Bn | 4.75 Bn |
| 2 | General Motors | 75.92 Bn | -28.69 Bn | 9.28 Bn |
| 3 | Ferrari | 70.49 Bn | 62.98 Bn | 1.18 Bn |
| 4 | Ford Motor | 48.56 Bn | -93.94 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.16 Bn | -104.65 Bn | 8.46 Bn |
| 6 | Toyota Motor | 25.15 Bn | -381.35 Bn | 20.95 Bn |
| 7 | Magna International | 17.88 Bn | 11.90 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 17.21 Bn | -4.51 Bn | 176.00 Mn |
| 9 | Stellantis | 13.31 Bn | -148.13 Bn | 3.94 Bn |
| 10 | Li Auto | 11.06 Bn | -37.90 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.39 Bn |
| 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 |
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();