Globalfoundries (GFS) Capital Expenditures (2020 - 2026)
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Analysis
Globalfoundries (GFS) Capital Expenditures (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 11.11 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 648.00 Mn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 4.02 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 707.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 463.00 Mn |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | -1.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.75 Bn |
| Jun 30, 2026 | 411.00 Mn |
| Mar 31, 2026 | 312.00 Mn |
| Dec 31, 2025 | 208.00 Mn |
| Sep 30, 2025 | 189.00 Mn |
| Jun 30, 2025 | 159.00 Mn |
| Mar 31, 2025 | 166.00 Mn |
| Dec 31, 2024 | 135.00 Mn |
| Sep 30, 2024 | 162.00 Mn |
| Jun 30, 2024 | -101.00 Mn |
| Mar 31, 2024 | 227.00 Mn |
| Dec 31, 2023 | 305.00 Mn |
| Sep 30, 2023 | 304.00 Mn |
| Jun 30, 2023 | -400.00 Mn |
| Mar 31, 2023 | 805.00 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | -613.00 Mn |
| Jun 30, 2022 | -812.00 Mn |
| Mar 31, 2022 | 612.00 Mn |
| Dec 31, 2021 | 731.00 Mn |
API Access
Globalfoundries Capital Expenditures 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=capital-expenditures&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();