Q (QCLS) Operating Leases (2020 - 2023)
Q (QCLS) recorded Operating Leases of $39,505 in Q2 2023, down 64.0% from $109,792 a year earlier and down 31.9% from the prior quarter.
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Analysis
Q (QCLS) Operating Leases (2020 - 2023) Analysis & Trends
At the end of FY2022, Q reported Operating Leases of $75,941, down 20.8% from FY2021.
- Across earlier years, Operating Leases came in at $95,911 in FY2021 (+85.9%) and $51,602 in FY2020.
- The Q2 2023 figure is the lowest quarterly Operating Leases since Q3 2021.
- On a year-over-year basis, Operating Leases has declined for three consecutive quarters, with growth averaging 92.1% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at $58,027 (Q1 2023), $75,941 (Q4 2022) and $93,144 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 39,505.00 |
| Mar 31, 2023 | 58,027.00 |
| Dec 31, 2022 | 75,941.00 |
| Sep 30, 2022 | 93,144.00 |
| Jun 30, 2022 | 109,792.00 |
| Mar 31, 2022 | 84,619.00 |
| Dec 31, 2021 | 95,911.00 |
| Sep 30, 2021 | 25,978.00 |
| Jun 30, 2021 | 25,851.00 |
| Dec 31, 2020 | 51,602.00 |
| Mar 31, 2020 | 124,395.00 |
API Access
Q 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=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "QCLS", "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=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();