Ford Motor (F) Total Liabilities (2009 - 2026)
Ford Motor (F) posted Total Liabilities of $255.52 billion for Q3 2026, up 0.8% from $253.57 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
Ford Motor (F) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ford Motor's Total Liabilities came in at $253.18 billion, up 5.3% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In prior years, Ford Motor's Total Liabilities was $240.34 billion in FY2024 (+4.3%), $230.51 billion in FY2023 (+8.4%), $212.72 billion in FY2022 (+2.1%) and $208.41 billion in FY2021 (-11.9%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 16 quarters, with growth averaging 3.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 10.3%; the weakest was Q4 2021, with a decline of 11.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $249.78 billion (Q2 2026), $244.95 billion (Q1 2026) and $253.18 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,229.52 Bn | 1,051.74 Bn | 5.49 Bn | 67.68 Bn |
| 2 | General Motors | 78.00 Bn | -26.61 Bn | 9.28 Bn | 224.67 Bn |
| 3 | Ferrari | 74.74 Bn | 67.04 Bn | 1.14 Bn | 7.39 Bn |
| 4 | Ford Motor | 49.98 Bn | -84.44 Bn | 7.38 Bn | 255.52 Bn |
| 5 | Honda Motor | 47.69 Bn | -102.12 Bn | 8.46 Bn | 134.69 Bn |
| 6 | Toyota Motor | 28.58 Bn | -354.45 Bn | 19.83 Bn | 409.99 Bn |
| 7 | Rivian Automotive | 20.31 Bn | -1.41 Bn | 176.00 Mn | 10.01 Bn |
| 8 | Magna International | 17.58 Bn | 11.56 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.82 Bn | -148.62 Bn | 3.94 Bn | 173.11 Bn |
| 10 | Li Auto | 12.44 Bn | -36.52 Bn | 417.98 Mn | 11.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 255.52 Bn |
| Jun 30, 2026 | 249.78 Bn |
| Mar 31, 2026 | 244.95 Bn |
| Dec 31, 2025 | 253.18 Bn |
| Sep 30, 2025 | 253.57 Bn |
| Jun 30, 2025 | 247.64 Bn |
| Mar 31, 2025 | 239.88 Bn |
| Dec 31, 2024 | 240.34 Bn |
| Sep 30, 2024 | 242.71 Bn |
| Jun 30, 2024 | 232.99 Bn |
| Mar 31, 2024 | 231.44 Bn |
| Dec 31, 2023 | 230.51 Bn |
| Sep 30, 2023 | 223.80 Bn |
| Jun 30, 2023 | 222.31 Bn |
| Mar 31, 2023 | 214.43 Bn |
| Dec 31, 2022 | 212.72 Bn |
| Sep 30, 2022 | 204.79 Bn |
| Jun 30, 2022 | 201.52 Bn |
| Mar 31, 2022 | 207.90 Bn |
| Dec 31, 2021 | 208.41 Bn |
API Access
Ford Motor Total Liabilities 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=total-liabilities&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();