Ford Motor (F) Cash & Equivalents (2009 - 2026)
Ford Motor (F) reported Cash & Equivalents of $22.28 billion for Q3 2026, down 16.8% from $26.79 billion a year earlier but up 19.7% from the prior quarter.
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Analysis
Ford Motor (F) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Ford Motor posted Cash & Equivalents of $23.36 billion, up 1.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $22.94 billion in FY2024 (-7.8%), $24.86 billion in FY2023 (-1.1%), $25.13 billion in FY2022 (+22.4%) and $20.54 billion in FY2021 (-18.6%).
- Five-year quarterly Cash & Equivalents spans a low of $17.65 billion in Q1 2026 and a high of $26.79 billion in Q3 2025.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with an average decline of 2.7% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2023 (growth of 35.3%); the low point was Q2 2024 (a decline of 24.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $18.6 billion (Q2 2026), $17.65 billion (Q1 2026) and $23.36 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 17.85 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 1.96 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 23.20 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 22.28 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 60.26 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 3.51 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 1.38 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 5.91 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 32.94 Bn |
| 10 | Xpeng | 9.64 Bn | 9.64 Bn | 599.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.28 Bn |
| Jun 30, 2026 | 18.60 Bn |
| Mar 31, 2026 | 17.65 Bn |
| Dec 31, 2025 | 23.36 Bn |
| Sep 30, 2025 | 26.79 Bn |
| Jun 30, 2025 | 23.02 Bn |
| Mar 31, 2025 | 20.86 Bn |
| Dec 31, 2024 | 22.94 Bn |
| Sep 30, 2024 | 23.45 Bn |
| Jun 30, 2024 | 19.95 Bn |
| Mar 31, 2024 | 19.72 Bn |
| Dec 31, 2023 | 24.86 Bn |
| Sep 30, 2023 | 26.43 Bn |
| Jun 30, 2023 | 26.41 Bn |
| Mar 31, 2023 | 22.14 Bn |
| Dec 31, 2022 | 25.13 Bn |
| Sep 30, 2022 | 21.55 Bn |
| Jun 30, 2022 | 19.52 Bn |
| Mar 31, 2022 | 21.01 Bn |
| Dec 31, 2021 | 20.54 Bn |
API Access
Ford Motor Cash & Equivalents 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=cash-and-equivalents&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();