Ford Motor (F) Depreciation and Depletion (2018 - 2026)
Ford Motor's Depreciation and Depletion came in at $1.87 billion for Q2 2026, down 1.8% from $1.9 billion a year earlier and down 1.0% from the prior quarter.
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Analysis
Ford Motor (F) Depreciation and Depletion (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ford Motor reported Depreciation and Depletion of $7.84 billion, up 4.2% year-over-year; for FY2025, it was $7.83 billion, up 3.5% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $7.57 billion in FY2024 (-1.6%), $7.69 billion in FY2023 (+0.6%), $7.64 billion in FY2022 (+4.4%) and $7.32 billion in FY2021 (-16.4%).
- The Q2 2026 figure represents the lowest quarterly Depreciation and Depletion since Q1 2025.
- Year-over-year, Depreciation and Depletion increased in three of the last eight quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q2 2022 (growth of 24.8%), and the weakest in Q1 2022 (a decline of 11.7%).
- Business Quant data shows F's Depreciation and Depletion at $1.88 billion (Q1 2026), $2.11 billion (Q4 2025) and $1.98 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,212.52 Bn | 1,047.07 Bn | 4.75 Bn | 1.37 Bn |
| 2 | Ferrari | 147.55 Bn | 140.05 Bn | 1.18 Bn | - |
| 3 | General Motors | 65.56 Bn | -37.34 Bn | 9.28 Bn | 1.20 Bn |
| 4 | Honda Motor | 52.27 Bn | -95.89 Bn | 8.46 Bn | - |
| 5 | Ford Motor | 46.77 Bn | -95.70 Bn | 6.08 Bn | 1.87 Bn |
| 6 | Toyota Motor | 25.49 Bn | -375.32 Bn | 20.95 Bn | - |
| 7 | Magna International | 18.13 Bn | 12.50 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.43 Bn | -6.86 Bn | 179.00 Mn | 227.00 Mn |
| 9 | Stellantis | 12.34 Bn | -151.78 Bn | 5.55 Bn | - |
| 10 | Li Auto | 11.63 Bn | -37.21 Bn | 417.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.87 Bn |
| Mar 31, 2026 | 1.88 Bn |
| Dec 31, 2025 | 2.11 Bn |
| Sep 30, 2025 | 1.98 Bn |
| Jun 30, 2025 | 1.90 Bn |
| Mar 31, 2025 | 1.85 Bn |
| Dec 31, 2024 | 1.93 Bn |
| Sep 30, 2024 | 1.84 Bn |
| Jun 30, 2024 | 1.91 Bn |
| Mar 31, 2024 | 1.88 Bn |
| Dec 31, 2023 | 2.01 Bn |
| Sep 30, 2023 | 1.90 Bn |
| Jun 30, 2023 | 1.88 Bn |
| Mar 31, 2023 | 1.90 Bn |
| Dec 31, 2022 | 1.97 Bn |
| Sep 30, 2022 | 1.90 Bn |
| Jun 30, 2022 | 1.92 Bn |
| Mar 31, 2022 | 1.86 Bn |
| Dec 31, 2021 | 1.84 Bn |
| Sep 30, 2021 | 1.84 Bn |
API Access
Ford Motor Depreciation and Depletion 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=depreciation-and-depletion&ticker=F&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();