General Motors (GM) Depreciation and Depletion (2016 - 2026)
General Motors' Depreciation and Depletion was $1.3 billion in Q2 2026, up 8.3% from $1.2 billion a year earlier and unchanged from the prior quarter.
General Motors (GM) Depreciation and Depletion (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Motors' Depreciation and Depletion was $5 billion through Jun 30, 2026, up 4.2% year-over-year; for FY2025, it was $4.9 billion, up 2.1% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $4.8 billion in FY2024 (-2.0%), $4.9 billion in FY2023 (+2.1%), $4.8 billion in FY2022 (-21.3%) and $6.1 billion in FY2021 (-15.3%).
- Quarterly Depreciation and Depletion has moved between $1.2 billion (Q1 2022) and $1.6 billion (Q3 2021) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in two of the last eight quarters, with growth averaging 2.1%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2026 (growth of 8.3%); the worst was Q1 2022 (a decline of 29.4%).
- Per Business Quant data, GM's Depreciation and Depletion in the three quarters before Q2 2026 was $1.3 billion (Q1 2026), $1.2 billion (Q4 2025) and $1.2 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 1.37 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | - |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | - |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 1.30 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | 1.87 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | 227.00 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Bn |
| Mar 31, 2026 | 1.30 Bn |
| Dec 31, 2025 | 1.20 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 1.20 Bn |
| Mar 31, 2025 | 1.20 Bn |
| Dec 31, 2024 | 1.20 Bn |
| Sep 30, 2024 | 1.20 Bn |
| Jun 30, 2024 | 1.20 Bn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | 1.20 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.20 Bn |
| Dec 31, 2022 | 1.20 Bn |
| Sep 30, 2022 | 1.20 Bn |
| Jun 30, 2022 | 1.20 Bn |
| Mar 31, 2022 | 1.20 Bn |
| Dec 31, 2021 | 1.30 Bn |
| Sep 30, 2021 | 1.60 Bn |
General Motors 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=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "GM", "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=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();