Globalfoundries (GFS) Revenue (2020 - 2026)
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Analysis
Globalfoundries (GFS) Revenue (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 96.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 40.19 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 29.59 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 54.23 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 13.38 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 11.35 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 16.51 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 9.12 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 6.06 Bn |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | 1.90 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.90 Bn |
| Jun 30, 2026 | 1.79 Bn |
| Mar 31, 2026 | 1.63 Bn |
| Dec 31, 2025 | 1.83 Bn |
| Sep 30, 2025 | 1.69 Bn |
| Jun 30, 2025 | 1.69 Bn |
| Mar 31, 2025 | 1.59 Bn |
| Dec 31, 2024 | 1.83 Bn |
| Sep 30, 2024 | 1.74 Bn |
| Jun 30, 2024 | 1.63 Bn |
| Mar 31, 2024 | 1.55 Bn |
| Dec 31, 2023 | 1.85 Bn |
| Sep 30, 2023 | 1.85 Bn |
| Jun 30, 2023 | 1.85 Bn |
| Mar 31, 2023 | 1.84 Bn |
| Dec 31, 2022 | 2.10 Bn |
| Sep 30, 2022 | 2.07 Bn |
| Jun 30, 2022 | 1.99 Bn |
| Mar 31, 2022 | 1.94 Bn |
| Dec 31, 2021 | 1.85 Bn |
API Access
Globalfoundries Revenue 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=revenue&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();