CL Workshop (NWGL) Inventory (2022 - 2025)
CL Workshop (NWGL) recorded Inventory of $2.48 million in the quarter ended Dec 31, 2025, down 61.3% from $6.43 million a year earlier.
Analysis
CL Workshop (NWGL) Inventory (2022 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2022, CL Workshop's Inventory history includes 7 quarters.
- Annual Inventory has declined for three straight years, with a three-year compound annual growth rate of -42.6% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Inventory came in at $6.43 million in the year ended Dec 31, 2024 (-24.7%), $8.54 million in the year ended Dec 31, 2023 (-35.0%) and $13.13 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Weyerhaeuser | 14.22 Bn | 12.53 Bn | 311.00 Mn | 604.00 Mn |
| 2 | Suzano | 10.83 Bn | -7.74 Bn | 558.88 Mn | 1.71 Bn |
| 3 | West Fraser Timber | 5.65 Bn | 4.75 Bn | 381.00 Mn | 793.00 Mn |
| 4 | Sylvamo | 1.39 Bn | 1.27 Bn | 132.00 Mn | 503.00 Mn |
| 5 | CL Workshop | 22.18 Mn | 15.34 Mn | - | 2.48 Mn |
| 6 | Mercer International | 21.45 Mn | -426.78 Mn | 10.48 Mn | 375.30 Mn |
| 7 | Smurfit Westrock | 23.65 Bn | 20.58 Bn | 1.40 Bn | 3.61 Bn |
| 8 | Packaging Corp Of America | 20.88 Bn | 18.41 Bn | 512.50 Mn | 1.26 Bn |
| 9 | Graphic Packaging Holding | 2.74 Bn | 1.96 Bn | 292.00 Mn | 1.69 Bn |
| 10 | Boise Cascade | 2.67 Bn | 1.04 Bn | 327.87 Mn | 927.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.48 Mn |
| Jun 30, 2025 | 3.99 Mn |
| Dec 31, 2024 | 6.43 Mn |
| Jun 30, 2024 | 9.08 Mn |
| Dec 31, 2023 | 8.54 Mn |
| Jun 30, 2023 | 11.17 Mn |
| Dec 31, 2022 | 13.13 Mn |
API Access
CL Workshop Inventory 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=inventory&ticker=NWGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NWGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();