Ford Motor (F) Non-Current Assets (2009 - 2026)
Ford Motor's Non-Current Assets came in at $168.04 billion for Q2 2026, up 1.2% from $166.11 billion a year earlier and up 1.2% from the prior quarter.
Analysis
Ford Motor (F) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Ford Motor's Non-Current Assets was $24.55 billion, up 8.6% from FY2024.
- Non-Current Assets has increased in each of the last three years, though with a five-year compound annual growth rate of -30.4% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $22.6 billion in FY2024 (+33.7%), $16.91 billion in FY2023 (+51.7%), $11.14 billion in FY2022 (-7.2%) and $12.01 billion in FY2021 (-92.0%).
- The five-year range for quarterly Non-Current Assets is $11.14 billion (Q4 2022) to $170.27 billion (Q3 2025).
- Year-over-year, Non-Current Assets has increased for 12 consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2023 (growth of 51.7%), and the weakest in Q4 2021 (a decline of 92.0%).
- Business Quant data shows F's Non-Current Assets at $166.11 billion (Q1 2026), $24.55 billion (Q4 2025) and $170.27 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 79.77 Bn |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 400.16 Bn |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 5.81 Bn |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | 132.91 Bn |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 172.73 Bn |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 168.04 Bn |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | 7.52 Bn |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 143.02 Bn |
| 10 | Li Auto | 11.39 Bn | -42.62 Bn | 417.98 Mn | 6.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.04 Bn |
| Mar 31, 2026 | 166.11 Bn |
| Dec 31, 2025 | 24.55 Bn |
| Sep 30, 2025 | 170.27 Bn |
| Jun 30, 2025 | 166.11 Bn |
| Mar 31, 2025 | 161.49 Bn |
| Dec 31, 2024 | 22.60 Bn |
| Sep 30, 2024 | 161.95 Bn |
| Jun 30, 2024 | 156.07 Bn |
| Mar 31, 2024 | 153.75 Bn |
| Dec 31, 2023 | 16.91 Bn |
| Sep 30, 2023 | 146.71 Bn |
| Jun 30, 2023 | 144.28 Bn |
| Mar 31, 2023 | 141.68 Bn |
| Dec 31, 2022 | 11.14 Bn |
| Sep 30, 2022 | 138.83 Bn |
| Jun 30, 2022 | 145.29 Bn |
| Mar 31, 2022 | 146.84 Bn |
| Dec 31, 2021 | 12.01 Bn |
| Sep 30, 2021 | 145.71 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_KEY
import 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();