Garrett Motion (GTX) Depreciation and Depletion (2017 - 2026)
Garrett Motion's Depreciation and Depletion was $24 million in Q2 2026, up 4.3% from $23 million a year earlier but down 4.0% from the prior quarter.
Garrett Motion (GTX) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Garrett Motion's Depreciation and Depletion was $103 million through Jun 30, 2026, up 13.2% year-over-year; for FY2025, it was $99 million, up 10.0% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $90 million in FY2024 (unchanged), $90 million in FY2023 (+7.1%), $84 million in FY2022 (-8.7%) and $92 million in FY2021 (+7.0%).
- Quarterly Depreciation and Depletion has moved between $20 million (Q4 2022) and $29 million (Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for five straight quarters, with growth averaging 6.6% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2025 (growth of 26.1%); the worst was Q4 2021 (a decline of 15.4%).
- Per Business Quant data, GTX's Depreciation and Depletion in the three quarters before Q2 2026 was $25 million (Q1 2026), $29 million (Q4 2025) and $25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Garrett Motion | 5.06 Bn | 4.35 Bn | 212.00 Mn | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 25.00 Mn |
| Dec 31, 2025 | 29.00 Mn |
| Sep 30, 2025 | 25.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 22.00 Mn |
| Dec 31, 2024 | 23.00 Mn |
| Sep 30, 2024 | 23.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | 24.00 Mn |
| Sep 30, 2023 | 23.00 Mn |
| Jun 30, 2023 | 22.00 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 20.00 Mn |
| Sep 30, 2022 | 21.00 Mn |
| Jun 30, 2022 | 21.00 Mn |
| Mar 31, 2022 | 22.00 Mn |
| Dec 31, 2021 | 22.00 Mn |
| Sep 30, 2021 | 23.00 Mn |
Garrett Motion 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=GTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "GTX", "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=GTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();