Globalfoundries (GFS) Non-Current Assets (2020 - 2026)
Globalfoundries (GFS) recorded Non-Current Assets of $11.42 billion in Q2 2026, up 9.3% from $10.45 billion a year earlier and up 5.1% from the prior quarter.
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Analysis
Globalfoundries (GFS) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Globalfoundries reported Non-Current Assets of $10.94 billion, up 5.3% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $10.38 billion in FY2024 (-11.4%), $11.72 billion in FY2023 (-2.7%), $12.04 billion in FY2022 (+23.7%) and $9.74 billion in FY2021 (+4.3%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q3 2024.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with an average decline of 4.0% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 23.7% in Q4 2022, against a decline of 15.2% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.86 billion (Q1 2026), $10.94 billion (Q4 2025) and $10.38 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 152.18 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 67.38 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 23.22 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 7.92 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 18.43 Bn |
| 10 | Globalfoundries | 26.99 Bn | 15.36 Bn | 505.00 Mn | 11.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.42 Bn |
| Mar 31, 2026 | 10.86 Bn |
| Dec 31, 2025 | 10.94 Bn |
| Sep 30, 2025 | 10.38 Bn |
| Jun 30, 2025 | 10.45 Bn |
| Mar 31, 2025 | 10.37 Bn |
| Dec 31, 2024 | 10.38 Bn |
| Sep 30, 2024 | 11.51 Bn |
| Jun 30, 2024 | 11.65 Bn |
| Mar 31, 2024 | 12.24 Bn |
| Dec 31, 2023 | 11.72 Bn |
| Sep 30, 2023 | 12.04 Bn |
| Jun 30, 2023 | 12.29 Bn |
| Mar 31, 2023 | 12.19 Bn |
| Dec 31, 2022 | 12.04 Bn |
| Sep 30, 2022 | 11.59 Bn |
| Jun 30, 2022 | 10.69 Bn |
| Mar 31, 2022 | 10.24 Bn |
| Dec 31, 2021 | 9.74 Bn |
| Sep 30, 2021 | 9.49 Bn |
API Access
Globalfoundries Non-Current Assets 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=non-current-assets&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();