Globalfoundries (GFS) Depreciation and Depletion (2020 - 2026)
Globalfoundries (GFS) posted Depreciation and Depletion of $23 million for Q2 2026, down 92.1% from $292 million a year earlier but up 4.5% from the prior quarter.
Globalfoundries (GFS) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Globalfoundries was $335 million, down 51.7% year-over-year; for FY2025, it came in at $93 million, down 35.9% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -47.1% (FY2020 to FY2025).
- In prior years, Globalfoundries' Depreciation and Depletion was $145 million in FY2024 (+5.8%), $137 million in FY2023 (+23.4%), $111 million in FY2022 (-2.6%) and $114 million in FY2021 (-94.9%).
- Quarterly Depreciation and Depletion has run from a low of -$966 million in Q4 2022 to a high of $363 million in Q2 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last six quarters, with an average decline of 28.6% over the last seven quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2024, with growth of 14.0%; the weakest was Q2 2026, with a decline of 92.1%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $22 million (Q1 2026), $23 million (Q4 2025) and $267 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 171.00 Mn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 2.99 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | - |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 23.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.00 Mn |
| Mar 31, 2026 | 22.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 267.00 Mn |
| Jun 30, 2025 | 292.00 Mn |
| Mar 31, 2025 | 25.00 Mn |
| Dec 31, 2024 | 34.00 Mn |
| Sep 30, 2024 | 342.00 Mn |
| Jun 30, 2024 | 350.00 Mn |
| Mar 31, 2024 | 37.00 Mn |
| Dec 31, 2023 | -815.00 Mn |
| Sep 30, 2023 | 319.00 Mn |
| Jun 30, 2023 | 307.00 Mn |
| Mar 31, 2023 | 312.00 Mn |
| Dec 31, 2022 | -966.00 Mn |
| Sep 30, 2022 | 358.00 Mn |
| Jun 30, 2022 | 363.00 Mn |
| Mar 31, 2022 | 356.00 Mn |
| Dec 31, 2021 | 26.00 Mn |
| Sep 30, 2021 | 27.00 Mn |
Globalfoundries 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=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "GFS", "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=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();