Globalfoundries (GFS) Enterprise Value (2021 - 2026)
Globalfoundries' Enterprise Value came in at $43.51 billion for Q2 2026, up 140.7% from $18.08 billion a year earlier and up 99.8% from the prior quarter.
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Analysis
Globalfoundries (GFS) Enterprise Value (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Globalfoundries reported Enterprise Value of $34.17 billion, up 309.6% year-over-year; for FY2025, it came in at $16.42 billion, down 19.5% from FY2024.
- Enterprise Value carries a four-year compound annual growth rate of -15.2% (FY2021 to FY2025).
- Going back by year, Enterprise Value was $20.39 billion in FY2024 (-32.4%), $30.17 billion in FY2023 (+16.0%), $26 billion in FY2022 (-17.9%) and $31.67 billion in FY2021.
- The Q2 2026 figure represents the highest quarterly Enterprise Value in data going back to Q4 2021.
- Year-over-year, Enterprise Value increased in two of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2026 (growth of 140.7%), and the weakest in Q3 2024 (a decline of 35.0%).
- Business Quant data shows GFS's Enterprise Value at $21.78 billion (Q1 2026), $16.42 billion (Q4 2025) and $16.59 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 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 |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.51 Bn |
| Mar 31, 2026 | 21.78 Bn |
| Dec 31, 2025 | 16.42 Bn |
| Sep 30, 2025 | 16.59 Bn |
| Jun 30, 2025 | 18.08 Bn |
| Mar 31, 2025 | 17.58 Bn |
| Dec 31, 2024 | 20.39 Bn |
| Sep 30, 2024 | 18.86 Bn |
| Jun 30, 2024 | 24.67 Bn |
| Mar 31, 2024 | 25.53 Bn |
| Dec 31, 2023 | 30.17 Bn |
| Sep 30, 2023 | 29.02 Bn |
| Jun 30, 2023 | 32.63 Bn |
| Mar 31, 2023 | 36.67 Bn |
| Dec 31, 2022 | 26.59 Bn |
| Sep 30, 2022 | 22.65 Bn |
| Jun 30, 2022 | 18.51 Bn |
| Mar 31, 2022 | 29.93 Bn |
| Dec 31, 2021 | 31.67 Bn |
API Access
Globalfoundries Enterprise Value 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=enterprise-value&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();