Globalfoundries (GFS) Interest Expenses (2021 - 2025)
Globalfoundries (GFS) posted Interest Expenses of $23 million for Q4 2025, down 32.4% from $34 million a year earlier and unchanged from the prior quarter.
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Analysis
Globalfoundries (GFS) Interest Expenses (2021 - 2025) Analysis & Trends
For FY2025, Globalfoundries' Interest Expenses came in at -$93 million.
- In prior years, Globalfoundries' Interest Expenses was -$145 million in FY2024, -$137 million in FY2023, -$111 million in FY2022 and -$114 million in FY2021.
- Quarterly Interest Expenses has run from a low of -$196 million in Q4 2021 to a high of $34 million in Q4 2024 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | -97.61 Mn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 778.00 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 | 37.00 Mn |
| 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 | 68.00 Mn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Dec 31, 2024 | 34.00 Mn |
| Dec 31, 2022 | -169.00 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Jun 30, 2022 | 19.00 Mn |
| Mar 31, 2022 | 28.00 Mn |
| Dec 31, 2021 | -196.00 Mn |
| Sep 30, 2021 | 27.00 Mn |
| Jun 30, 2021 | 28.00 Mn |
| Mar 31, 2021 | 28.00 Mn |
API Access
Globalfoundries Interest Expenses 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=interest-expenses&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();