Globalfoundries (GFS) Cash from Operations (2020 - 2026)
Globalfoundries' Cash from Operations came in at $341 million for Q3 2026, down 42.7% from $595 million a year earlier and down 15.8% from the prior quarter.
Globalfoundries (GFS) Cash from Operations (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Globalfoundries reported Cash from Operations of $1.66 billion, down 8.4% year-over-year; for FY2025, it was $1.73 billion, up 0.5% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $1.72 billion in FY2024 (-19.0%), $2.13 billion in FY2023 (-19.0%), $2.62 billion in FY2022 (-7.6%) and $2.84 billion in FY2021 (+182.8%).
- The Q3 2026 figure represents the lowest quarterly Cash from Operations since Q1 2025.
- Year-over-year, Cash from Operations increased in three of the last eight quarters, with an average decline of 0.3%.
- The fastest year-over-year change in Cash from Operations over five years came in Q1 2022 (growth of 470.9%), and the weakest in Q4 2022 (a decline of 57.2%).
- Business Quant data shows GFS's Cash from Operations at $405 million (Q2 2026), $542 million (Q1 2026) and $374 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 24.78 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 14.20 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 43.97 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 1.20 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 5.08 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 3.04 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 3.42 Bn |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | 341.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 341.00 Mn |
| Jun 30, 2026 | 405.00 Mn |
| Mar 31, 2026 | 542.00 Mn |
| Dec 31, 2025 | 374.00 Mn |
| Sep 30, 2025 | 595.00 Mn |
| Jun 30, 2025 | 431.00 Mn |
| Mar 31, 2025 | 331.00 Mn |
| Dec 31, 2024 | 457.00 Mn |
| Sep 30, 2024 | 375.00 Mn |
| Jun 30, 2024 | 402.00 Mn |
| Mar 31, 2024 | 488.00 Mn |
| Dec 31, 2023 | 684.00 Mn |
| Sep 30, 2023 | 416.00 Mn |
| Jun 30, 2023 | 546.00 Mn |
| Mar 31, 2023 | 479.00 Mn |
| Dec 31, 2022 | 491.00 Mn |
| Sep 30, 2022 | 679.00 Mn |
| Jun 30, 2022 | 609.00 Mn |
| Mar 31, 2022 | 845.00 Mn |
| Dec 31, 2021 | 1.15 Bn |
Globalfoundries Cash from Operations 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=cash-from-operations&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();