Globalfoundries (GFS) Sales of Property, Plant and Equipment (2021 - 2026)
Globalfoundries' Sales of Property, Plant and Equipment was $14 million in Q3 2026, down 64.1% from $39 million a year earlier.
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Analysis
Globalfoundries (GFS) Sales of Property, Plant and Equipment (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Globalfoundries' Sales of Property, Plant and Equipment was $149 million through Sep 30, 2026, up 8.8% year-over-year; for FY2025, it came in at $170 million, up 203.6% from FY2024.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In earlier years, Sales of Property, Plant and Equipment was $56 million in FY2024 (+133.3%), $24 million in FY2023 (-41.5%), $41 million in FY2022 (-87.3%) and $324 million in FY2021 (+197.2%).
- The Q3 2026 figure marks the lowest quarterly Sales of Property, Plant and Equipment since Q2 2024.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in three of the last four quarters, with growth averaging 122.7%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q2 2025 (growth of 387.5%); the worst was Q2 2024 (a decline of 98.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 5.68 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | - |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | - |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | - |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | - |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | 14.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.00 Mn |
| Dec 31, 2025 | 57.00 Mn |
| Sep 30, 2025 | 89.00 Mn |
| Jun 30, 2025 | 39.00 Mn |
| Mar 31, 2025 | 35.00 Mn |
| Dec 31, 2024 | 24.00 Mn |
| Sep 30, 2024 | 30.00 Mn |
| Jun 30, 2024 | 8.00 Mn |
| Mar 31, 2024 | -2.00 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 323.00 Mn |
| Jun 30, 2023 | 400.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 15.00 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 9.00 Mn |
| Dec 31, 2021 | 28.00 Mn |
| Sep 30, 2021 | 31.00 Mn |
| Jun 30, 2021 | 219.00 Mn |
API Access
Globalfoundries Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();