Globalfoundries (GFS) Income Taxes Paid (2021 - 2026)
Globalfoundries' Income Taxes Paid was -$34 million in Q3 2026, compared with $7 million a year earlier.
Globalfoundries (GFS) Income Taxes Paid (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Globalfoundries' Income Taxes Paid was -$11 million through Sep 30, 2026; for FY2025, it was $19 million, down 38.7% from FY2024.
- Income Taxes Paid shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In earlier years, Income Taxes Paid was $31 million in FY2024 (+181.8%), $11 million in FY2023 (+175.0%), $4 million in FY2022 (-41.0%) and $6.78 million in FY2021 (-76.0%).
- The Q3 2026 figure marks the lowest quarterly Income Taxes Paid in data going back to Q1 2021.
- Compared with a year earlier, Income Taxes Paid was higher in three of the last six quarters, with growth averaging 67.5%.
- The best year-over-year quarter for Income Taxes Paid over five years was Q1 2026 (growth of 300.0%); the worst was Q4 2023 (a decline of 89.7%).
- Per Business Quant data, GFS's Income Taxes Paid in the three quarters before Q3 2026 was $13 million (Q2 2026), $4 million (Q1 2026) and $6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | -5.95 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 56.00 Mn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 223.00 Mn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 169.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | - |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | -34.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -34.00 Mn |
| Jun 30, 2026 | 13.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 14.00 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 30, 2023 | 8.00 Mn |
| Dec 31, 2022 | 58.00 Mn |
| Sep 30, 2022 | -6.00 Mn |
| Jun 30, 2022 | -30.00 Mn |
| Mar 31, 2022 | -18.00 Mn |
| Dec 31, 2021 | 80.78 Mn |
| Sep 30, 2021 | -20.00 Mn |
| Jun 30, 2021 | -32.00 Mn |
| Mar 31, 2021 | -22.00 Mn |
Globalfoundries Income Taxes Paid 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=income-taxes-paid&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();