Ford Motor (F) Total Non-Current Liabilities (2009 - 2026)
Ford Motor's Total Non-Current Liabilities came in at $219.21 billion for Q2 2026, up 0.8% from $217.4 billion a year earlier and up 2.1% from the prior quarter.
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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 $15.7 billion, up 35.0% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, though with a five-year compound annual growth rate of -40.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $11.64 billion in FY2024 (+77.0%), $6.57 billion in FY2023 (+46.1%), $4.5 billion in FY2022 (+10.5%) and $4.07 billion in FY2021 (-98.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $4.07 billion (Q4 2021) to $222.61 billion (Q3 2025).
- Year-over-year, Total Non-Current Liabilities has increased for 15 consecutive quarters, with growth averaging 17.2% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2024 (growth of 77.0%), and the weakest in Q4 2021 (a decline of 98.0%).
- Business Quant data shows F's Total Non-Current Liabilities at $214.79 billion (Q1 2026), $15.7 billion (Q4 2025) and $222.61 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 5.63 Bn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | 5.36 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 122.27 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Li Auto | 11.39 Bn | -42.62 Bn | 417.98 Mn | 2.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 219.21 Bn |
| Mar 31, 2026 | 214.79 Bn |
| Dec 31, 2025 | 15.70 Bn |
| Sep 30, 2025 | 222.61 Bn |
| Jun 30, 2025 | 217.40 Bn |
| Mar 31, 2025 | 211.00 Bn |
| Dec 31, 2024 | 11.64 Bn |
| Sep 30, 2024 | 213.73 Bn |
| Jun 30, 2024 | 204.70 Bn |
| Mar 31, 2024 | 203.72 Bn |
| Dec 31, 2023 | 6.57 Bn |
| Sep 30, 2023 | 195.95 Bn |
| Jun 30, 2023 | 196.56 Bn |
| Mar 31, 2023 | 188.53 Bn |
| Dec 31, 2022 | 4.50 Bn |
| Sep 30, 2022 | 176.20 Bn |
| Jun 30, 2022 | 173.30 Bn |
| Mar 31, 2022 | 179.40 Bn |
| Dec 31, 2021 | 4.07 Bn |
| Sep 30, 2021 | 187.17 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();