Globalfoundries (GFS) Property, Plant & Equipment (Net) (2019 - 2026)
Globalfoundries' Property, Plant & Equipment (Net) came in at $6.99 billion for Q3 2026, down 4.7% from $7.33 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 Q3 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 12 consecutive quarters, with an average decline of 13.3% 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 $7.1 billion (Q2 2026), $7.21 billion (Q1 2026) and $7.22 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 135.03 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 63.31 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 3.93 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 9.27 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 105.31 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 5.61 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 11.83 Bn |
| 10 | Globalfoundries | 21.46 Bn | 10.79 Bn | 571.00 Mn | 6.99 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.99 Bn |
| 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 |
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();