Globalfoundries (GFS) Restructuring Costs (2022 - 2025)
Globalfoundries (GFS) posted Restructuring Costs of $12 million for Q4 2025, compared with $1 million a year earlier and up 500.0% from the prior quarter.
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Analysis
Globalfoundries (GFS) Restructuring Costs (2022 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Restructuring Costs at Globalfoundries was $15 million, down 59.5% year-over-year; for FY2024, it was $7 million, down 90.1% from FY2023.
- In prior years, Globalfoundries' Restructuring Costs was $71 million in FY2023 (-24.5%) and $94 million in FY2022.
- The Q4 2025 figure stands as the highest quarterly Restructuring Costs since Q4 2023.
- On a year-over-year basis, Restructuring Costs increased in 1 of the last four quarters, with an average decline of 41.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Dec 31, 2023 | 30.00 Mn |
| Sep 30, 2023 | 17.00 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 94.00 Mn |
API Access
Globalfoundries Restructuring Costs 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=restructuring-costs&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();