Globalfoundries (GFS) Sales of Property, Plant and Equipment (2021 - 2026)
Globalfoundries' Sales of Property, Plant and Equipment was -$252 million in Q2 2026, compared with $24 million a year earlier.
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 $161 million through Jun 30, 2026, up 25.8% 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 (-96.9%), $1.8 billion in FY2023, $41 million in FY2022 (-87.3%) and $324 million in FY2021 (+197.2%).
- The Q2 2026 figure marks the lowest quarterly Sales of Property, Plant and Equipment in data going back to Q1 2021.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in four of the last six quarters, with growth averaging 131.3%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q1 2026 (growth of 434.0%); the worst was Q2 2024 (a decline of 98.0%).
- Per Business Quant data, GFS's Sales of Property, Plant and Equipment in the three quarters before Q2 2026 was $267 million (Q1 2026), $57 million (Q4 2025) and $89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (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 | 2.70 Mn |
| 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 | -252.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -252.00 Mn |
| Mar 31, 2026 | 267.00 Mn |
| Dec 31, 2025 | 57.00 Mn |
| Sep 30, 2025 | 89.00 Mn |
| Jun 30, 2025 | 24.00 Mn |
| Mar 31, 2025 | 50.00 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 | 228.00 Mn |
| Sep 30, 2023 | 323.00 Mn |
| Jun 30, 2023 | 400.00 Mn |
| Mar 31, 2023 | 212.00 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 |
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_KEY
import 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();