Globalfoundries (GFS) EBITDA Margin (2020 - 2026)
Globalfoundries (GFS) posted EBITDA Margin of 26.93% for Q2 2026, down 4.53 percentage points from 31.46% a year earlier and down 3.12 percentage points from the prior quarter.
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Analysis
Globalfoundries (GFS) EBITDA Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Globalfoundries was 29.53%, up 10.17 percentage points year-over-year; for FY2025, it was 31.09%, up 11.03 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +7.38 percentage points (FY2020 to FY2025).
- In prior years, Globalfoundries' EBITDA Margin was 20.06% in FY2024 (-14.84 pp), 34.90% in FY2023 (+0.49 pp), 34.41% in FY2022 (+7.60 pp) and 26.81% in FY2021 (+3.10 pp).
- The Q2 2026 figure stands as the lowest quarterly EBITDA Margin since Q4 2024.
- On a year-over-year basis, EBITDA Margin increased in two of the last eight quarters, with an average year-over-year change of -3.23 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2025, with a gain of 48.69 percentage points; the weakest was Q4 2024, with a drop of 55.68 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 30.05% (Q1 2026), 31.04% (Q4 2025) and 30.15% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,265.32 Bn | 5,039.48 Bn | 72.14 Bn | 67.41% |
| 2 | Taiwan Semiconductor Manufacturing | 2,223.45 Bn | 1,848.32 Bn | 27.22 Bn | 75.79% |
| 3 | Broadcom | 1,620.30 Bn | 1,546.34 Bn | 20.46 Bn | 61.62% |
| 4 | Micron Technology | 1,029.76 Bn | 935.39 Bn | 47.05 Bn | 85.55% |
| 5 | Advanced Micro Devices | 889.49 Bn | 846.24 Bn | 6.20 Bn | 23.88% |
| 6 | Asml Holding | 621.37 Bn | 577.05 Bn | 5.90 Bn | - |
| 7 | Intel | 473.14 Bn | 342.27 Bn | 6.51 Bn | 31.13% |
| 8 | Applied Materials | 307.10 Bn | 272.55 Bn | 4.59 Bn | 35.39% |
| 9 | Lam Research | 295.32 Bn | 271.37 Bn | 4.30 Bn | 41.44% |
| 10 | Globalfoundries | 25.22 Bn | 13.53 Bn | 505.00 Mn | 26.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.93% |
| Mar 31, 2026 | 30.05% |
| Dec 31, 2025 | 31.04% |
| Sep 30, 2025 | 30.15% |
| Jun 30, 2025 | 31.46% |
| Mar 31, 2025 | 31.74% |
| Dec 31, 2024 | -17.65% |
| Sep 30, 2024 | 35.31% |
| Jun 30, 2024 | 36.09% |
| Mar 31, 2024 | 36.80% |
| Dec 31, 2023 | 38.03% |
| Sep 30, 2023 | 33.10% |
| Jun 30, 2023 | 35.12% |
| Mar 31, 2023 | 36.07% |
| Dec 31, 2022 | 30.89% |
| Sep 30, 2022 | 38.04% |
| Jun 30, 2022 | 37.93% |
| Mar 31, 2022 | 35.31% |
| Dec 31, 2021 | 30.07% |
| Sep 30, 2021 | 30.59% |
API Access
Globalfoundries EBITDA 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=ebitda-margin&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();