West Fraser Timber (WFG) Operating Expenses (2019 - 2026)
West Fraser Timber's Operating Expenses came in at $68 million for Q2 2026, down 1.4% from $69 million a year earlier but up 7.9% from the prior quarter.
West Fraser Timber (WFG) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, West Fraser Timber reported Operating Expenses of $269 million, down 26.1% year-over-year; for FY2025, it was $6.65 billion, up 7.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $6.17 billion in FY2024 (-8.5%), $6.74 billion in FY2023 (-5.7%), $7.14 billion in FY2022 (+8.7%) and $6.57 billion in FY2021 (+85.6%).
- The five-year range for quarterly Operating Expenses is $63 million (Q1 2026) to $214 million (Q4 2023).
- Year-over-year, Operating Expenses has declined for five consecutive quarters, with an average decline of 14.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 137.9%), and the weakest in Q2 2024 (a decline of 63.8%).
- Business Quant data shows WFG's Operating Expenses at $63 million (Q1 2026), $72 million (Q4 2025) and $66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Weyerhaeuser | 13.96 Bn | 12.26 Bn | 311.00 Mn | 116.00 Mn |
| 2 | Suzano | 10.46 Bn | -7.87 Bn | 558.88 Mn | 109.98 Mn |
| 3 | West Fraser Timber | 5.23 Bn | 4.33 Bn | 381.00 Mn | 210.00 Mn |
| 4 | Sylvamo | 1.27 Bn | 1.15 Bn | 132.00 Mn | 102.00 Mn |
| 5 | Mercer International | 12.82 Mn | -435.41 Mn | 10.48 Mn | 31.55 Mn |
| 6 | CL Workshop | 2.45 Mn | -2.02 Mn | - | - |
| 7 | Smurfit Westrock | 21.68 Bn | 18.58 Bn | 1.40 Bn | 1.09 Bn |
| 8 | Packaging Corp Of America | 21.22 Bn | 18.75 Bn | 512.50 Mn | 179.30 Mn |
| 9 | Boise Cascade | 2.69 Bn | 1.05 Bn | 327.87 Mn | 1.75 Bn |
| 10 | Graphic Packaging Holding | 2.52 Bn | 1.75 Bn | 292.00 Mn | 186.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 210.00 Mn |
| Apr 3, 2026 | 190.00 Mn |
| Dec 31, 2025 | 177.00 Mn |
| Sep 26, 2025 | 194.00 Mn |
| Jun 27, 2025 | 208.00 Mn |
| Mar 28, 2025 | 187.00 Mn |
| Dec 31, 2024 | 248.00 Mn |
| Sep 27, 2024 | 218.00 Mn |
| Jun 28, 2024 | 220.00 Mn |
| Mar 29, 2024 | 229.00 Mn |
| Dec 31, 2023 | 346.00 Mn |
| Sep 29, 2023 | 230.00 Mn |
| Jun 30, 2023 | 359.00 Mn |
| Mar 31, 2023 | 237.00 Mn |
| Dec 31, 2022 | 259.00 Mn |
| Sep 30, 2022 | 260.00 Mn |
| Jun 30, 2022 | 275.00 Mn |
| Mar 31, 2022 | 233.00 Mn |
| Dec 31, 2021 | 207.00 Mn |
| Sep 30, 2021 | 220.00 Mn |
West Fraser Timber Operating Expenses 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-expenses&ticker=WFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();