Globalfoundries (GFS) Capital Leases (2019 - 2023)
Globalfoundries (GFS) recorded Capital Leases of -$305 million in Q4 2023, compared with -$390 million a year earlier.
Analysis
Globalfoundries (GFS) Capital Leases (2019 - 2023) Analysis & Trends
Starting with Q4 2019, Globalfoundries' Capital Leases history includes 14 quarters.
- Across earlier years, Capital Leases came in at -$390 million in FY2022, -$960 million in FY2021, -$3.25 billion in FY2020 and -$3.16 billion in FY2019.
- Quarterly Capital Leases has ranged from -$3.25 billion in Q4 2020 to -$74 million in Q1 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$218 million (Q3 2023), -$161 million (Q2 2023) and -$74 million (Q1 2023).
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 |
|---|---|
| Dec 31, 2023 | -305.00 Mn |
| Sep 30, 2023 | -218.00 Mn |
| Jun 30, 2023 | -161.00 Mn |
| Mar 31, 2023 | -74.00 Mn |
| Dec 31, 2022 | -390.00 Mn |
| Sep 30, 2022 | -286.00 Mn |
| Jun 30, 2022 | -212.00 Mn |
| Mar 31, 2022 | -107.00 Mn |
| Dec 31, 2021 | -960.00 Mn |
| Sep 30, 2021 | -698.00 Mn |
| Jun 30, 2021 | -448.00 Mn |
| Mar 31, 2021 | -192.00 Mn |
| Dec 31, 2020 | -3.25 Bn |
| Dec 31, 2019 | -3.16 Bn |
API Access
Globalfoundries Capital 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=capital-leases&ticker=GFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-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=capital-leases&ticker=GFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();