Globalfoundries (GFS) Return on Equity [ROE] (2022 - 2026)
Globalfoundries' Return on Equity [ROE] was 1.69% in Q3 2026, up 2.04 percentage points from -0.35% a year earlier but down 4.44 percentage points from the prior quarter.
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Analysis
Globalfoundries (GFS) Return on Equity [ROE] (2022 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at Globalfoundries came in at 7.82%, up 10.22 percentage points from FY2024.
- Return on Equity [ROE] shows a four-year change of +11.18 percentage points (FY2021 to FY2025).
- In earlier years, Return on Equity [ROE] was -2.39% in FY2024 (-12.08 pp), 9.69% in FY2023 (-6.48 pp), 16.17% in FY2022 (+19.52 pp) and -3.35% in FY2021.
- Quarterly Return on Equity [ROE] has moved between -2.35% (Q4 2024) and 15.26% (Q4 2022) over five years.
- Compared with a year earlier, Return on Equity [ROE] has increased for four straight quarters, with an average year-over-year change of -1.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q1 2023 (a gain of 14.46 percentage points); the worst was Q4 2024 (a drop of 11.65 percentage points).
- Per Business Quant data, GFS's Return on Equity [ROE] in the three quarters before Q3 2026 was 6.12% (Q2 2026), 6.61% (Q1 2026) and 7.51% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 90.87% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 37.29% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 40.84% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 71.02% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 11.24% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | -10.18% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 37.42% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 38.25% |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | 1.69% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.69% |
| Jun 30, 2026 | 6.12% |
| Mar 31, 2026 | 6.61% |
| Dec 31, 2025 | 7.51% |
| Sep 30, 2025 | -0.35% |
| Jun 30, 2025 | -1.00% |
| Mar 31, 2025 | -1.69% |
| Dec 31, 2024 | -2.35% |
| Sep 30, 2024 | 6.53% |
| Jun 30, 2024 | 7.22% |
| Mar 31, 2024 | 8.02% |
| Dec 31, 2023 | 9.30% |
| Sep 30, 2023 | 13.21% |
| Jun 30, 2023 | 14.38% |
| Mar 31, 2023 | 15.09% |
| Dec 31, 2022 | 15.26% |
| Sep 30, 2022 | 9.29% |
| Jun 30, 2022 | 5.79% |
| Mar 31, 2022 | 0.63% |
API Access
Globalfoundries Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();