Globalfoundries (GFS) Assets (2020 - 2026)
Analysis
Globalfoundries (GFS) Assets (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,376.56 Bn | 4,150.72 Bn | 72.14 Bn | 320.27 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,825.81 Bn | 1,451.98 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,391.76 Bn | 1,317.81 Bn | 20.46 Bn | 188.15 Bn |
| 4 | Micron Technology | 744.99 Bn | 650.63 Bn | 47.05 Bn | 195.89 Bn |
| 5 | Advanced Micro Devices | 663.22 Bn | 611.43 Bn | 7.21 Bn | 94.81 Bn |
| 6 | Asml Holding | 522.88 Bn | 478.56 Bn | 5.90 Bn | 59.40 Bn |
| 7 | Intel | 277.45 Bn | 140.15 Bn | 7.10 Bn | 228.57 Bn |
| 8 | Texas Instruments | 254.17 Bn | 229.04 Bn | 3.89 Bn | 36.84 Bn |
| 9 | Applied Materials | 253.36 Bn | 218.80 Bn | 4.59 Bn | 43.52 Bn |
| 10 | Globalfoundries | 20.20 Bn | 9.59 Bn | 571.00 Mn | 17.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.04 Bn |
| Jun 30, 2026 | 16.89 Bn |
| Mar 31, 2026 | 16.90 Bn |
| Dec 31, 2025 | 17.14 Bn |
| Sep 30, 2025 | 16.71 Bn |
| Jun 30, 2025 | 16.80 Bn |
| Mar 31, 2025 | 16.48 Bn |
| Dec 31, 2024 | 16.80 Bn |
| Sep 30, 2024 | 18.11 Bn |
| Jun 30, 2024 | 17.93 Bn |
| Mar 31, 2024 | 18.45 Bn |
| Dec 31, 2023 | 18.04 Bn |
| Sep 30, 2023 | 17.84 Bn |
| Jun 30, 2023 | 17.82 Bn |
| Mar 31, 2023 | 17.82 Bn |
| Dec 31, 2022 | 17.84 Bn |
| Sep 30, 2022 | 17.21 Bn |
| Jun 30, 2022 | 16.19 Bn |
| Mar 31, 2022 | 15.90 Bn |
| Dec 31, 2021 | 15.03 Bn |
API Access
Globalfoundries Assets 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=assets&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();