Globalfoundries (GFS) Return on Equity [ROE] (2022 - 2026)
Globalfoundries' Return on Equity [ROE] was 6.10% in Q2 2026, up 7.09 percentage points from -0.99% a year earlier but down 0.49 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 7.79%, up 10.17 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of +44.33 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was -2.38% in FY2024 (-12.03 pp), 9.64% in FY2023 (-6.43 pp), 16.07% in FY2022 (+19.40 pp) and -3.33% in FY2021 (+33.22 pp).
- Quarterly Return on Equity [ROE] has moved between -2.34% (Q4 2024) and 15.19% (Q4 2022) over five years.
- Compared with a year earlier, Return on Equity [ROE] has increased for three straight quarters, with an average year-over-year change of -2.23 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 14.38 percentage points); the worst was Q4 2024 (a drop of 11.60 percentage points).
- Per Business Quant data, GFS's Return on Equity [ROE] in the three quarters before Q2 2026 was 6.58% (Q1 2026), 7.48% (Q4 2025) and -0.35% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 90.87% |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 40.51% |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 40.84% |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 58.27% |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 9.77% |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | -9.81% |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 63.02% |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 37.42% |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 6.10% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.10% |
| Mar 31, 2026 | 6.58% |
| Dec 31, 2025 | 7.48% |
| Sep 30, 2025 | -0.35% |
| Jun 30, 2025 | -0.99% |
| Mar 31, 2025 | -1.69% |
| Dec 31, 2024 | -2.34% |
| Sep 30, 2024 | 6.51% |
| Jun 30, 2024 | 7.22% |
| Mar 31, 2024 | 8.00% |
| Dec 31, 2023 | 9.26% |
| Sep 30, 2023 | 13.16% |
| Jun 30, 2023 | 14.32% |
| Mar 31, 2023 | 15.02% |
| Dec 31, 2022 | 15.19% |
| Sep 30, 2022 | 9.26% |
| Jun 30, 2022 | 5.77% |
| Mar 31, 2022 | 0.64% |
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();