CL Workshop (NWGL) Operating Leases (2022 - 2026)
CL Workshop (NWGL) posted Operating Leases of $32,927 for the quarter ended Jun 30, 2026, compared with -$43,652 a year earlier.
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Analysis
CL Workshop (NWGL) Operating Leases (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, CL Workshop's Operating Leases came in at $40,057, down 67.0% from the prior year.
- In prior years, CL Workshop's Operating Leases was $121,335 in the year ended Dec 31, 2024, -$64,296 in the year ended Dec 31, 2023 and -$107,945 in the year ended Dec 31, 2022.
- Quarterly Operating Leases has run from a low of -$107,945 in the quarter ended Dec 31, 2022 to a high of $121,335 in the quarter ended Dec 31, 2024 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Weyerhaeuser | 13.88 Bn | 12.19 Bn | 311.00 Mn |
| 2 | Suzano | 10.51 Bn | -7.82 Bn | 558.88 Mn |
| 3 | West Fraser Timber | 5.20 Bn | 4.29 Bn | 381.00 Mn |
| 4 | Sylvamo | 1.25 Bn | 1.13 Bn | 132.00 Mn |
| 5 | Mercer International | 12.75 Mn | -435.47 Mn | 10.48 Mn |
| 6 | CL Workshop | 1.97 Mn | -2.50 Mn | - |
| 7 | Smurfit Westrock | 21.44 Bn | 18.34 Bn | 1.40 Bn |
| 8 | Packaging Corp Of America | 20.96 Bn | 18.50 Bn | 512.50 Mn |
| 9 | Boise Cascade | 2.64 Bn | 1.01 Bn | 327.87 Mn |
| 10 | Graphic Packaging Holding | 2.49 Bn | 1.72 Bn | 292.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40,311.00 |
| Dec 31, 2025 | 53,720.00 |
| Jun 30, 2025 | -43,652.00 |
| Dec 31, 2024 | 462,110.00 |
| Jun 30, 2024 | -40,023.00 |
| Dec 31, 2023 | 133,972.00 |
| Jun 30, 2023 | -75,287.00 |
| Dec 31, 2022 | 65,513.00 |
API Access
CL Workshop 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=NWGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "NWGL", "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=NWGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();