Globalfoundries (GFS) Current Leases (2020 - 2026)
Globalfoundries' Current Leases was $61 million in Q2 2026, down 20.8% from $77 million a year earlier and down 7.6% from the prior quarter.
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Analysis
Globalfoundries (GFS) Current Leases (2020 - 2026) Analysis & Trends
At the end of FY2025, Current Leases at Globalfoundries came in at $69 million, down 23.3% from FY2024.
- Current Leases shows a five-year compound annual growth rate of -12.1% (FY2020 to FY2025).
- In earlier years, Current Leases was $90 million in FY2024 (+181.3%), $32 million in FY2023 (-57.3%), $75 million in FY2022 (-44.4%) and $135 million in FY2021 (+2.8%).
- The Q2 2026 figure marks the lowest quarterly Current Leases since Q1 2024.
- Compared with a year earlier, Current Leases has declined for five straight quarters, with growth averaging 28.4% over the last eight quarters.
- The best year-over-year quarter for Current Leases over five years was Q4 2024 (growth of 181.3%); the worst was Q4 2023 (a decline of 57.3%).
- Per Business Quant data, GFS's Current Leases in the three quarters before Q2 2026 was $66 million (Q1 2026), $69 million (Q4 2025) and $71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (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 | - |
| 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 | 61.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.00 Mn |
| Mar 31, 2026 | 66.00 Mn |
| Dec 31, 2025 | 69.00 Mn |
| Sep 30, 2025 | 71.00 Mn |
| Jun 30, 2025 | 77.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 90.00 Mn |
| Sep 30, 2024 | 93.00 Mn |
| Jun 30, 2024 | 87.00 Mn |
| Mar 31, 2024 | 48.00 Mn |
| Dec 31, 2023 | 32.00 Mn |
| Sep 30, 2023 | 52.00 Mn |
| Jun 30, 2023 | 61.00 Mn |
| Mar 31, 2023 | 71.00 Mn |
| Dec 31, 2022 | 75.00 Mn |
| Sep 30, 2022 | 111.00 Mn |
| Jun 30, 2022 | 113.00 Mn |
| Mar 31, 2022 | 116.00 Mn |
| Dec 31, 2021 | 135.00 Mn |
| Sep 30, 2021 | 95.00 Mn |
API Access
Globalfoundries Current Leases 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=current-leases&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "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=current-leases&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();