Globalfoundries (GFS) Property, Plant & Equipment (Net) (2019 - 2026)
Globalfoundries' Property, Plant & Equipment (Net) came in at $7.1 billion for Q2 2026, down 5.4% from $7.51 billion a year earlier and down 1.6% from the prior quarter.
Globalfoundries (GFS) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Globalfoundries' Property, Plant & Equipment (Net) was $7.22 billion, down 6.9% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $7.76 billion in FY2024 (-21.0%), $9.83 billion in FY2023 (-7.2%), $10.6 billion in FY2022 (+21.6%) and $8.71 billion in FY2021 (+5.9%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 11 consecutive quarters, with an average decline of 14.6% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2022 (growth of 21.6%), and the weakest in Q1 2025 (a decline of 26.0%).
- Business Quant data shows GFS's Property, Plant & Equipment (Net) at $7.21 billion (Q1 2026), $7.22 billion (Q4 2025) and $7.33 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 7.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.10 Bn |
| Mar 31, 2026 | 7.21 Bn |
| Dec 31, 2025 | 7.22 Bn |
| Sep 30, 2025 | 7.33 Bn |
| Jun 30, 2025 | 7.51 Bn |
| Mar 31, 2025 | 7.63 Bn |
| Dec 31, 2024 | 7.76 Bn |
| Sep 30, 2024 | 8.95 Bn |
| Jun 30, 2024 | 9.23 Bn |
| Mar 31, 2024 | 10.30 Bn |
| Dec 31, 2023 | 9.83 Bn |
| Sep 30, 2023 | 10.59 Bn |
| Jun 30, 2023 | 10.79 Bn |
| Mar 31, 2023 | 10.83 Bn |
| Dec 31, 2022 | 10.60 Bn |
| Sep 30, 2022 | 10.22 Bn |
| Jun 30, 2022 | 9.41 Bn |
| Mar 31, 2022 | 9.17 Bn |
| Dec 31, 2021 | 8.71 Bn |
| Sep 30, 2021 | 8.47 Bn |
Globalfoundries Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();