Weyerhaeuser (WY) EBITDA (2009 - 2026)
Weyerhaeuser (WY) recorded EBITDA of $350 million in Q2 2026, up 15.5% from $303 million a year earlier but down 5.7% from the prior quarter.
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Analysis
Weyerhaeuser (WY) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Weyerhaeuser's EBITDA came in at $1.35 billion as of Jun 30, 2026, up 25.7% year-over-year; for FY2025, it came in at $1.24 billion, up 4.5% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -10.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $1.19 billion in FY2024 (-29.6%), $1.69 billion in FY2023 (-52.6%), $3.56 billion in FY2022 (-13.6%) and $4.12 billion in FY2021 (+88.8%).
- Quarterly EBITDA has ranged from $203 million in Q3 2024 to $1.47 billion in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 42.3% in Q4 2025, against a decline of 75.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $371 million (Q1 2026), $380 million (Q4 2025) and $253 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Weyerhaeuser | 14.87 Bn | 13.23 Bn | 257.00 Mn | 232.00 Mn |
| 2 | Suzano | 12.18 Bn | -5.80 Bn | 762.11 Mn | 1.04 Bn |
| 3 | West Fraser Timber | 5.28 Bn | 2.38 Bn | - | - |
| 4 | Sylvamo | 1.49 Bn | 1.37 Bn | 132.00 Mn | 73.00 Mn |
| 5 | Mercer International | 17.07 Mn | -404.06 Mn | 24.19 Mn | -2.85 Mn |
| 6 | CL Workshop | 409,690.96 | -7.72 Mn | - | - |
| 7 | Smurfit Westrock | 23.02 Bn | 20.06 Bn | 1.44 Bn | 1.17 Bn |
| 8 | Packaging Corp Of America | 22.34 Bn | 19.92 Bn | 603.90 Mn | 567.40 Mn |
| 9 | Graphic Packaging Holding | 3.20 Bn | 2.20 Bn | 307.00 Mn | 255.00 Mn |
| 10 | Boise Cascade | 2.48 Bn | 969.81 Mn | 295.63 Mn | 99.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 232.00 Mn |
| Jun 30, 2026 | 350.00 Mn |
| Mar 31, 2026 | 371.00 Mn |
| Dec 31, 2025 | 380.00 Mn |
| Sep 30, 2025 | 253.00 Mn |
| Jun 30, 2025 | 303.00 Mn |
| Mar 31, 2025 | 304.00 Mn |
| Dec 31, 2024 | 267.00 Mn |
| Sep 30, 2024 | 203.00 Mn |
| Jun 30, 2024 | 396.00 Mn |
| Mar 31, 2024 | 321.00 Mn |
| Dec 31, 2023 | 404.00 Mn |
| Sep 30, 2023 | 475.00 Mn |
| Jun 30, 2023 | 445.00 Mn |
| Mar 31, 2023 | 362.00 Mn |
| Dec 31, 2022 | 352.00 Mn |
| Sep 30, 2022 | 576.00 Mn |
| Jun 30, 2022 | 1.17 Bn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 730.00 Mn |
API Access
Weyerhaeuser EBITDA 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=ebitda&ticker=WY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();