CL Workshop (NWGL) Assets (2022 - 2025)
CL Workshop's Assets was $14.38 million in the quarter ended Dec 31, 2025, down 64.8% from $40.81 million a year earlier.
Analysis
CL Workshop (NWGL) Assets (2022 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2022 onward, CL Workshop has reported Assets for 7 quarters.
- Assets has now declined for three consecutive years, with a three-year compound annual growth rate of -40.4% (years ended Dec 2022 to Dec 2025).
- In earlier years, Assets was $40.81 million in the year ended Dec 31, 2024 (-24.9%), $54.32 million in the year ended Dec 31, 2023 (-20.2%) and $68.05 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Weyerhaeuser | 14.22 Bn | 12.53 Bn | 311.00 Mn | 16.51 Bn |
| 2 | Suzano | 10.83 Bn | -7.74 Bn | 558.88 Mn | 33.79 Bn |
| 3 | West Fraser Timber | 5.65 Bn | 4.75 Bn | 381.00 Mn | - |
| 4 | Sylvamo | 1.39 Bn | 1.27 Bn | 132.00 Mn | 2.88 Bn |
| 5 | CL Workshop | 22.18 Mn | 15.34 Mn | - | 14.38 Mn |
| 6 | Mercer International | 21.45 Mn | -426.78 Mn | 10.48 Mn | 1.87 Bn |
| 7 | Smurfit Westrock | 23.65 Bn | 20.58 Bn | 1.40 Bn | 45.20 Bn |
| 8 | Packaging Corp Of America | 20.88 Bn | 18.41 Bn | 512.50 Mn | 11.02 Bn |
| 9 | Graphic Packaging Holding | 2.74 Bn | 1.96 Bn | 292.00 Mn | 11.66 Bn |
| 10 | Boise Cascade | 2.67 Bn | 1.04 Bn | 327.87 Mn | 3.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 14.38 Mn |
| Jun 30, 2025 | 22.87 Mn |
| Dec 31, 2024 | 40.81 Mn |
| Jun 30, 2024 | 51.73 Mn |
| Dec 31, 2023 | 54.32 Mn |
| Jun 30, 2023 | 61.47 Mn |
| Dec 31, 2022 | 68.05 Mn |
API Access
CL Workshop Assets 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=assets&ticker=NWGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=NWGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();