Globalfoundries (GFS) EV to EBITDA (2021 - 2026)
Globalfoundries' (GFS) EV to EBITDA stood at 21.23 in Q2 2026, up 55.6% from 13.64 a year earlier and up 104.7% from the prior quarter.
Globalfoundries (GFS) EV to EBITDA (2021 - 2026) Analysis & Trends
On a TTM basis, Globalfoundries' EV to EBITDA came in at 16.68 as of Jun 30, 2026, up 164.9% year-over-year; for FY2025, it was 7.78, down 48.4% from FY2024.
- Across earlier years, EV to EBITDA came in at 15.06 in FY2024 (+28.8%), 11.69 in FY2023 (+25.5%), 9.32 in FY2022 (-48.0%) and 17.94 in FY2021.
- The Q2 2026 figure is the highest quarterly EV to EBITDA in data going back to Q4 2021.
- On a year-over-year basis, EV to EBITDA rose in five of the last eight quarters, with growth averaging 15.7%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 78.7% in Q3 2025, against a decline of 50.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.38 (Q1 2026), 7.78 (Q4 2025) and 13.60 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,252.35 Bn | 5,026.52 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,265.88 Bn | 1,892.06 Bn | 27.22 Bn |
| 3 | Broadcom | 1,634.28 Bn | 1,560.33 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,050.43 Bn | 956.06 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 914.34 Bn | 871.09 Bn | 6.20 Bn |
| 6 | Asml Holding | 630.38 Bn | 586.07 Bn | 5.90 Bn |
| 7 | Intel | 472.73 Bn | 357.46 Bn | 6.51 Bn |
| 8 | Applied Materials | 314.21 Bn | 279.65 Bn | 4.59 Bn |
| 9 | Lam Research | 300.86 Bn | 276.91 Bn | 4.30 Bn |
| 10 | Globalfoundries | 25.96 Bn | 14.32 Bn | 505.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.23 |
| Mar 31, 2026 | 10.38 |
| Dec 31, 2025 | 7.78 |
| Sep 30, 2025 | 13.60 |
| Jun 30, 2025 | 13.64 |
| Mar 31, 2025 | 12.71 |
| Dec 31, 2024 | 14.06 |
| Sep 30, 2024 | 7.61 |
| Jun 30, 2024 | 9.96 |
| Mar 31, 2024 | 10.07 |
| Dec 31, 2023 | 11.47 |
| Sep 30, 2023 | 11.28 |
| Jun 30, 2023 | 11.87 |
| Mar 31, 2023 | 12.83 |
| Dec 31, 2022 | 9.24 |
| Sep 30, 2022 | 8.13 |
| Jun 30, 2022 | 7.35 |
| Mar 31, 2022 | 14.14 |
| Dec 31, 2021 | 18.47 |
Globalfoundries EV to 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=ev-to-ebitda&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();