Weyerhaeuser (WY) Operating Expenses (2009 - 2026)
Weyerhaeuser (WY) recorded Operating Expenses of $116 million in Q2 2026, up 0.9% from $115 million a year earlier but down 3.3% from the prior quarter.
Powered by 
Analysis
Weyerhaeuser (WY) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Weyerhaeuser's Operating Expenses came in at $459 million as of Jun 30, 2026, down 4.8% year-over-year; for FY2025, it came in at $458 million, down 6.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $487 million in FY2024 (+11.2%), $438 million in FY2023 (+8.4%), $404 million in FY2022 (+0.7%) and $401 million in FY2021 (+13.6%).
- Quarterly Operating Expenses has ranged from $93 million in Q1 2022 to $124 million in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 0.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 22.3% in Q4 2021, against a decline of 11.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $120 million (Q1 2026), $114 million (Q4 2025) and $109 million (Q3 2025).
Peer Set
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 | 10.49 Bn | -7.84 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 | 1.26 Bn | 1.14 Bn | 132.00 Mn | 102.00 Mn |
| 5 | Mercer International | 12.89 Mn | -435.33 Mn | 10.48 Mn | 31.55 Mn |
| 6 | CL Workshop | 2.17 Mn | -2.30 Mn | - | - |
| 7 | Smurfit Westrock | 21.63 Bn | 18.53 Bn | 1.40 Bn | 1.09 Bn |
| 8 | Packaging Corp Of America | 21.15 Bn | 18.68 Bn | 512.50 Mn | 179.30 Mn |
| 9 | Boise Cascade | 2.68 Bn | 1.05 Bn | 327.87 Mn | 1.75 Bn |
| 10 | Graphic Packaging Holding | 2.51 Bn | 1.74 Bn | 292.00 Mn | 186.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.00 Mn |
| Mar 31, 2026 | 120.00 Mn |
| Dec 31, 2025 | 114.00 Mn |
| Sep 30, 2025 | 109.00 Mn |
| Jun 30, 2025 | 115.00 Mn |
| Mar 31, 2025 | 120.00 Mn |
| Dec 31, 2024 | 124.00 Mn |
| Sep 30, 2024 | 123.00 Mn |
| Jun 30, 2024 | 119.00 Mn |
| Mar 31, 2024 | 121.00 Mn |
| Dec 31, 2023 | 117.00 Mn |
| Sep 30, 2023 | 109.00 Mn |
| Jun 30, 2023 | 109.00 Mn |
| Mar 31, 2023 | 103.00 Mn |
| Dec 31, 2022 | 106.00 Mn |
| Sep 30, 2022 | 101.00 Mn |
| Jun 30, 2022 | 104.00 Mn |
| Mar 31, 2022 | 93.00 Mn |
| Dec 31, 2021 | 115.00 Mn |
| Sep 30, 2021 | 99.00 Mn |
API Access
Weyerhaeuser 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=WY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WY", "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=WY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();