Globalfoundries (GFS) EBITDA (2020 - 2026)
Globalfoundries (GFS) posted EBITDA of $481 million for Q2 2026, down 9.4% from $531 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Globalfoundries (GFS) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Globalfoundries was $2.05 billion, up 54.6% year-over-year; for FY2025, it was $2.11 billion, up 55.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In prior years, Globalfoundries' EBITDA was $1.35 billion in FY2024 (-47.5%), $2.58 billion in FY2023 (-7.5%), $2.79 billion in FY2022 (+58.0%) and $1.77 billion in FY2021 (+53.5%).
- The Q2 2026 figure stands as the lowest quarterly EBITDA since Q4 2024.
- On a year-over-year basis, EBITDA increased in 1 of the last six quarters, with an average decline of 8.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 312.2%; the weakest was Q3 2023, with a decline of 22.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $491 million (Q1 2026), $568 million (Q4 2025) and $509 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 18.17 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 481.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 481.00 Mn |
| Mar 31, 2026 | 491.00 Mn |
| Dec 31, 2025 | 568.00 Mn |
| Sep 30, 2025 | 509.00 Mn |
| Jun 30, 2025 | 531.00 Mn |
| Mar 31, 2025 | 503.00 Mn |
| Dec 31, 2024 | -323.00 Mn |
| Sep 30, 2024 | 614.00 Mn |
| Jun 30, 2024 | 589.00 Mn |
| Mar 31, 2024 | 570.00 Mn |
| Dec 31, 2023 | 705.00 Mn |
| Sep 30, 2023 | 613.00 Mn |
| Jun 30, 2023 | 648.00 Mn |
| Mar 31, 2023 | 664.00 Mn |
| Dec 31, 2022 | 697.00 Mn |
| Sep 30, 2022 | 789.00 Mn |
| Jun 30, 2022 | 756.00 Mn |
| Mar 31, 2022 | 685.00 Mn |
| Dec 31, 2021 | 556.43 Mn |
| Sep 30, 2021 | 520.00 Mn |
API Access
Globalfoundries EBITDA 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&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();