Ford Motor (F) Total Liabilities (2009 - 2026)
Ford Motor (F) posted Total Liabilities of $249.78 billion for Q2 2026, up 0.9% from $247.64 billion a year earlier and up 2.0% from the prior quarter.
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%).
- Quarterly Total Liabilities has run from a low of $201.52 billion in Q2 2022 to a high of $253.57 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 15 quarters, with growth averaging 4.4% 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 $244.95 billion (Q1 2026), $253.18 billion (Q4 2025) and $253.57 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 404.08 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 7.62 Bn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | 136.83 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 219.10 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 249.78 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 10.01 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 176.31 Bn |
| 10 | Li Auto | 11.39 Bn | -42.62 Bn | 417.98 Mn | 10.97 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 215.97 Bn |
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_KEY
import 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();