Ford Motor (F) Total Non-Current Liabilities (2009 - 2026)
Ford Motor's Total Non-Current Liabilities came in at $223.48 billion for Q3 2026, up 0.4% from $222.61 billion a year earlier and up 1.9% from the prior quarter.
Powered by 
Analysis
Ford Motor (F) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ford Motor's Total Non-Current Liabilities was $222.28 billion, up 5.1% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $211.51 billion in FY2024 (+4.7%), $202.1 billion in FY2023 (+7.9%), $187.22 billion in FY2022 (+3.6%) and $180.71 billion in FY2021 (-13.2%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q3 2009.
- Year-over-year, Total Non-Current Liabilities has increased for 16 consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2023 (growth of 13.4%), and the weakest in Q4 2021 (a decline of 13.2%).
- Business Quant data shows F's Total Non-Current Liabilities at $219.21 billion (Q2 2026), $214.79 billion (Q1 2026) and $222.28 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 52.81 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 118.34 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 5.09 Bn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 223.48 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 193.30 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 8.95 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 669.00 Mn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 73.32 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 2.52 Bn |
| 10 | Xpeng | 9.67 Bn | -1.28 Bn | - | 2.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 223.48 Bn |
| Jun 30, 2026 | 219.21 Bn |
| Mar 31, 2026 | 214.79 Bn |
| Dec 31, 2025 | 222.28 Bn |
| Sep 30, 2025 | 222.61 Bn |
| Jun 30, 2025 | 217.40 Bn |
| Mar 31, 2025 | 211.00 Bn |
| Dec 31, 2024 | 211.51 Bn |
| Sep 30, 2024 | 213.73 Bn |
| Jun 30, 2024 | 204.70 Bn |
| Mar 31, 2024 | 203.72 Bn |
| Dec 31, 2023 | 202.10 Bn |
| Sep 30, 2023 | 195.95 Bn |
| Jun 30, 2023 | 196.56 Bn |
| Mar 31, 2023 | 188.53 Bn |
| Dec 31, 2022 | 187.22 Bn |
| Sep 30, 2022 | 176.20 Bn |
| Jun 30, 2022 | 173.30 Bn |
| Mar 31, 2022 | 179.40 Bn |
| Dec 31, 2021 | 180.71 Bn |
API Access
Ford Motor Total Non-Current 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-non-current-liabilities&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();