Ford Motor (F) Change in Accured Expenses (2018 - 2026)
Ford Motor (F) reported Change in Accured Expenses of $1.78 billion for Q2 2026, down 58.2% from $4.27 billion a year earlier.
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Analysis
Ford Motor (F) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ford Motor's Change in Accured Expenses came in at $3.39 billion, down 67.6% year-over-year; for FY2025, it came in at $10.1 billion, up 19.9% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $8.43 billion in FY2024 (-14.3%), $9.83 billion in FY2023 (+35.2%), $7.27 billion in FY2022 and -$36 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$1.21 billion in Q1 2026 and a high of $5.93 billion in Q3 2021.
- Year over year, Change in Accured Expenses gained in two of the last five quarters, with growth averaging 13.7%.
- The high point for year-over-year Change in Accured Expenses in five years was Q1 2022 (growth of 788.1%); the low point was Q4 2021 (a decline of 83.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.21 billion (Q1 2026), -$528 million (Q4 2025) and $3.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 1.94 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | - |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 19.87 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | -839.67 Mn |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 1.78 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 190.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | - |
| 10 | Li Auto | 11.27 Bn | -42.73 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.78 Bn |
| Mar 31, 2026 | -1.21 Bn |
| Dec 31, 2025 | -528.00 Mn |
| Sep 30, 2025 | 3.34 Bn |
| Jun 30, 2025 | 4.27 Bn |
| Mar 31, 2025 | 3.02 Bn |
| Dec 31, 2024 | -961.00 Mn |
| Sep 30, 2024 | 4.12 Bn |
| Jun 30, 2024 | 1.94 Bn |
| Mar 31, 2024 | 3.33 Bn |
| Dec 31, 2023 | 634.00 Mn |
| Sep 30, 2023 | 3.06 Bn |
| Jun 30, 2023 | 3.81 Bn |
| Mar 31, 2023 | 2.32 Bn |
| Dec 31, 2022 | -1.19 Bn |
| Sep 30, 2022 | 5.27 Bn |
| Jun 30, 2022 | 1.47 Bn |
| Mar 31, 2022 | 1.71 Bn |
| Dec 31, 2021 | 475.00 Mn |
| Sep 30, 2021 | 5.93 Bn |
API Access
Ford Motor Change in Accured Expenses 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=change-in-accured-expenses&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();