West Fraser Timber (WFG) Selling, General & Administrative (2019 - 2026)
West Fraser Timber (WFG) reported Selling, General & Administrative of $63 million for Q2 2026, down 8.7% from $69 million a year earlier and unchanged from the prior quarter.
West Fraser Timber (WFG) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, West Fraser Timber's Selling, General & Administrative came in at $264 million, down 5.0% year-over-year; for FY2025, it came in at $280 million, down 0.7% from FY2024.
- Selling, General & Administrative has declined for three consecutive years, though with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $282 million in FY2024 (-8.1%), $307 million in FY2023 (-15.9%), $365 million in FY2022 (+17.0%) and $312 million in FY2021 (+68.6%).
- Five-year quarterly Selling, General & Administrative spans a low of $63 million in Q1 2026 and a high of $100 million in Q4 2022.
- Year over year, Selling, General & Administrative gained in 1 of the last eight quarters, with an average decline of 5.9%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2022 (growth of 20.5%); the low point was Q3 2021 (a decline of 45.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63 million (Q1 2026), $72 million (Q4 2025) and $66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Weyerhaeuser | 13.32 Bn | 11.63 Bn | 311.00 Mn | 115.00 Mn |
| 2 | Suzano | 10.76 Bn | -7.81 Bn | 558.88 Mn | -109.98 Mn |
| 3 | West Fraser Timber | 5.26 Bn | 4.35 Bn | 381.00 Mn | 63.00 Mn |
| 4 | Sylvamo | 1.29 Bn | 1.17 Bn | 132.00 Mn | 69.00 Mn |
| 5 | CL Workshop | 23.84 Mn | 16.99 Mn | - | - |
| 6 | Mercer International | 17.42 Mn | -430.80 Mn | 10.48 Mn | 31.55 Mn |
| 7 | Smurfit Westrock | 22.31 Bn | 19.24 Bn | 1.40 Bn | 970.00 Mn |
| 8 | Packaging Corp Of America | 20.37 Bn | 17.90 Bn | 512.50 Mn | 179.30 Mn |
| 9 | Boise Cascade | 2.62 Bn | 986.47 Mn | 327.87 Mn | 27.27 Mn |
| 10 | Graphic Packaging Holding | 2.60 Bn | 1.83 Bn | 292.00 Mn | 180.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 63.00 Mn |
| Apr 3, 2026 | 63.00 Mn |
| Dec 31, 2025 | 72.00 Mn |
| Sep 26, 2025 | 66.00 Mn |
| Jun 27, 2025 | 69.00 Mn |
| Mar 28, 2025 | 73.00 Mn |
| Dec 31, 2024 | 69.00 Mn |
| Sep 27, 2024 | 67.00 Mn |
| Jun 28, 2024 | 70.00 Mn |
| Mar 29, 2024 | 76.00 Mn |
| Dec 31, 2023 | 80.00 Mn |
| Sep 29, 2023 | 73.00 Mn |
| Jun 30, 2023 | 78.00 Mn |
| Mar 31, 2023 | 76.00 Mn |
| Dec 31, 2022 | 100.00 Mn |
| Sep 30, 2022 | 84.00 Mn |
| Jun 30, 2022 | 87.00 Mn |
| Mar 31, 2022 | 94.00 Mn |
| Dec 31, 2021 | -247.52 Mn |
| Sep 30, 2021 | 73.00 Mn |
West Fraser Timber Selling, General & Administrative 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=selling-general-and-administrative&ticker=WFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "WFG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=WFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();