Globalfoundries (GFS) Operating Leases (2020 - 2026)
Globalfoundries' Operating Leases was $495 million in Q2 2026, up 14.6% from $432 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Globalfoundries (GFS) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Globalfoundries came in at $487 million, up 14.9% from FY2024.
- Operating Leases has now increased for three consecutive years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In earlier years, Operating Leases was $424 million in FY2024 (+21.1%), $350 million in FY2023 (+29.6%), $270 million in FY2022 (-7.2%) and $291 million in FY2021 (-12.7%).
- Quarterly Operating Leases has moved between $270 million (Q4 2022) and $744 million (Q1 2024) over five years.
- Compared with a year earlier, Operating Leases has increased for three straight quarters, with growth averaging 9.3% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was Q1 2024 (growth of 138.5%); the worst was Q1 2025 (a decline of 42.7%).
- Per Business Quant data, GFS's Operating Leases in the three quarters before Q2 2026 was $511 million (Q1 2026), $487 million (Q4 2025) and $421 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 495.00 Mn |
| Mar 31, 2026 | 511.00 Mn |
| Dec 31, 2025 | 487.00 Mn |
| Sep 30, 2025 | 421.00 Mn |
| Jun 30, 2025 | 432.00 Mn |
| Mar 31, 2025 | 426.00 Mn |
| Dec 31, 2024 | 424.00 Mn |
| Sep 30, 2024 | 443.00 Mn |
| Jun 30, 2024 | 445.00 Mn |
| Mar 31, 2024 | 744.00 Mn |
| Dec 31, 2023 | 350.00 Mn |
| Sep 30, 2023 | 287.00 Mn |
| Jun 30, 2023 | 293.00 Mn |
| Mar 31, 2023 | 312.00 Mn |
| Dec 31, 2022 | 270.00 Mn |
| Sep 30, 2022 | 274.00 Mn |
| Jun 30, 2022 | 301.00 Mn |
| Mar 31, 2022 | 333.00 Mn |
| Dec 31, 2021 | 291.00 Mn |
| Sep 30, 2021 | 350.00 Mn |
API Access
Globalfoundries Operating 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=operating-leases&ticker=GFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-leases&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();