Globalfoundries (GFS) Non Operating Interest Expenses (2020 - 2025)
Globalfoundries (GFS) recorded Non Operating Interest Expenses of $23 million in Q4 2025, down 32.4% from $34 million a year earlier and unchanged from the prior quarter.
Globalfoundries (GFS) Non Operating Interest Expenses (2020 - 2025) Analysis & Trends
For FY2025, Globalfoundries reported Non Operating Interest Expenses of -$93 million.
- Across earlier years, Non Operating Interest Expenses came in at -$145 million in FY2024, -$137 million in FY2023, -$111 million in FY2022 and -$114 million in FY2021.
- Quarterly Non Operating Interest Expenses has ranged from -$196 million in Q4 2021 to $34 million in Q4 2024 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,412.01 Bn | 4,186.18 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 1,847.96 Bn | 1,472.82 Bn | 27.22 Bn | -97.61 Mn |
| 3 | Broadcom | 1,408.78 Bn | 1,334.83 Bn | 20.46 Bn | 778.00 Mn |
| 4 | Micron Technology | 755.30 Bn | 660.94 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 674.86 Bn | 631.61 Bn | 6.20 Bn | 37.00 Mn |
| 6 | Asml Holding | 533.58 Bn | 489.26 Bn | 5.90 Bn | - |
| 7 | Intel | 280.55 Bn | 126.62 Bn | 7.10 Bn | - |
| 8 | Texas Instruments | 258.58 Bn | 233.45 Bn | 3.89 Bn | 141.00 Mn |
| 9 | Applied Materials | 257.37 Bn | 222.81 Bn | 4.59 Bn | 68.00 Mn |
| 10 | Globalfoundries | 20.46 Bn | 9.80 Bn | 571.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Dec 31, 2024 | 34.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 53.00 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Jun 30, 2022 | 19.00 Mn |
| Mar 31, 2022 | 28.00 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | 27.00 Mn |
| Jun 30, 2021 | 28.00 Mn |
| Mar 31, 2021 | 28.00 Mn |
| Dec 31, 2020 | -38.00 Mn |
| Sep 30, 2020 | -34.00 Mn |
Globalfoundries Non Operating 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=non-operating-interest-expenses&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();