Globalfoundries (GFS) Gross Margin (2020 - 2026)
Globalfoundries' Gross Margin came in at 28.28% for Q2 2026, up 4.10 percentage points from 24.17% a year earlier and up 0.67 percentage points from the prior quarter.
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Analysis
Globalfoundries (GFS) Gross Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Globalfoundries reported Gross Margin of 27.14%, up 3.38 percentage points year-over-year; for FY2025, it came in at 24.89%, up 0.43 percentage points from FY2024.
- Gross Margin carries a five-year change of +39.56 percentage points (FY2020 to FY2025).
- Going back by year, Gross Margin was 24.46% in FY2024 (-3.96 pp), 28.42% in FY2023 (+0.81 pp), 27.61% in FY2022 (+12.23 pp) and 15.38% in FY2021 (+30.06 pp).
- The Q2 2026 figure represents the highest quarterly Gross Margin since Q4 2023.
- Year-over-year, Gross Margin has increased for four consecutive quarters, with an average year-over-year change of +0.25 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in Q4 2021 (a gain of 41.32 percentage points), and the weakest in Q3 2024 (a drop of 4.76 percentage points).
- Business Quant data shows GFS's Gross Margin at 27.60% (Q1 2026), 27.76% (Q4 2025) and 24.82% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 74.98% |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 67.72% |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 69.13% |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 84.56% |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 53.77% |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 52.15% |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 40.36% |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 51.75% |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 50.31% |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 28.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.28% |
| Mar 31, 2026 | 27.60% |
| Dec 31, 2025 | 27.76% |
| Sep 30, 2025 | 24.82% |
| Jun 30, 2025 | 24.17% |
| Mar 31, 2025 | 22.40% |
| Dec 31, 2024 | 24.54% |
| Sep 30, 2024 | 23.81% |
| Jun 30, 2024 | 24.20% |
| Mar 31, 2024 | 25.37% |
| Dec 31, 2023 | 28.32% |
| Sep 30, 2023 | 28.56% |
| Jun 30, 2023 | 28.83% |
| Mar 31, 2023 | 27.97% |
| Dec 31, 2022 | 29.60% |
| Sep 30, 2022 | 29.41% |
| Jun 30, 2022 | 26.99% |
| Mar 31, 2022 | 24.18% |
| Dec 31, 2021 | 20.79% |
| Sep 30, 2021 | 17.65% |
API Access
Globalfoundries Gross Margin 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=gross-margin&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();