Ford Motor (F) Non-Current Assets (2009 - 2026)
Ford Motor's Non-Current Assets came in at $171.21 billion for Q3 2026, up 0.6% from $170.27 billion a year earlier and up 1.9% from the prior quarter.
Powered by 
Analysis
Ford Motor (F) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Ford Motor's Non-Current Assets was $165.67 billion, up 3.1% from FY2024.
- Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $160.72 billion in FY2024 (+5.9%), $151.83 billion in FY2023 (+8.9%), $139.41 billion in FY2022 (-5.8%) and $148.04 billion in FY2021 (-1.6%).
- The Q3 2026 figure represents the highest quarterly Non-Current Assets since Q1 2016.
- Year-over-year, Non-Current Assets has increased for 13 consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2024 (growth of 10.4%), and the weakest in Q4 2022 (a decline of 5.8%).
- Business Quant data shows F's Non-Current Assets at $168.04 billion (Q2 2026), $166.11 billion (Q1 2026) and $165.67 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 87.12 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 173.32 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 5.64 Bn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 171.21 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 392.25 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 7.59 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 1.49 Bn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 134.64 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 5.58 Bn |
| 10 | Xpeng | 9.67 Bn | -1.28 Bn | - | 5.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 171.21 Bn |
| Jun 30, 2026 | 168.04 Bn |
| Mar 31, 2026 | 166.11 Bn |
| Dec 31, 2025 | 165.67 Bn |
| Sep 30, 2025 | 170.27 Bn |
| Jun 30, 2025 | 166.11 Bn |
| Mar 31, 2025 | 161.49 Bn |
| Dec 31, 2024 | 160.72 Bn |
| Sep 30, 2024 | 161.95 Bn |
| Jun 30, 2024 | 156.07 Bn |
| Mar 31, 2024 | 153.75 Bn |
| Dec 31, 2023 | 151.83 Bn |
| Sep 30, 2023 | 146.71 Bn |
| Jun 30, 2023 | 144.28 Bn |
| Mar 31, 2023 | 141.68 Bn |
| Dec 31, 2022 | 139.41 Bn |
| Sep 30, 2022 | 138.83 Bn |
| Jun 30, 2022 | 145.29 Bn |
| Mar 31, 2022 | 146.84 Bn |
| Dec 31, 2021 | 148.04 Bn |
API Access
Ford Motor Non-Current Assets 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=non-current-assets&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();