Ford Motor (F) Operating Expenses (2009 - 2026)
Ford Motor (F) reported Operating Expenses of $47.66 billion for Q2 2026, down 4.1% from $49.67 billion a year earlier but up 16.5% from the prior quarter.
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Analysis
Ford Motor (F) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ford Motor's Operating Expenses came in at $195.01 billion, up 7.0% year-over-year; for FY2025, it came in at $196.44 billion, up 9.3% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $179.77 billion in FY2024 (+5.3%), $170.73 billion in FY2023 (+12.5%), $151.78 billion in FY2022 (+15.1%) and $131.82 billion in FY2021 (+0.2%).
- Five-year quarterly Operating Expenses spans a low of $33.13 billion in Q1 2022 and a high of $57.45 billion in Q4 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 5.1%.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 39.4%); the low point was Q2 2026 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $40.92 billion (Q1 2026), $57.45 billion (Q4 2025) and $48.98 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Li Auto | 11.39 Bn | -42.62 Bn | 417.98 Mn | -757.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.66 Bn |
| Mar 31, 2026 | 40.92 Bn |
| Dec 31, 2025 | 57.45 Bn |
| Sep 30, 2025 | 48.98 Bn |
| Jun 30, 2025 | 49.67 Bn |
| Mar 31, 2025 | 40.34 Bn |
| Dec 31, 2024 | 46.98 Bn |
| Sep 30, 2024 | 45.32 Bn |
| Jun 30, 2024 | 45.93 Bn |
| Mar 31, 2024 | 41.55 Bn |
| Dec 31, 2023 | 46.21 Bn |
| Sep 30, 2023 | 42.67 Bn |
| Jun 30, 2023 | 42.49 Bn |
| Mar 31, 2023 | 39.36 Bn |
| Dec 31, 2022 | 42.44 Bn |
| Sep 30, 2022 | 38.89 Bn |
| Jun 30, 2022 | 37.32 Bn |
| Mar 31, 2022 | 33.13 Bn |
| Dec 31, 2021 | 36.94 Bn |
| Sep 30, 2021 | 34.34 Bn |
API Access
Ford Motor 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=operating-expenses&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "F", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();