Weyerhaeuser (WY) Total Liabilities (2009 - 2026)
Weyerhaeuser (WY) posted Total Liabilities of $7.06 billion for Q2 2026, up 1.5% from $6.95 billion a year earlier and up 1.4% from the prior quarter.
Weyerhaeuser (WY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Weyerhaeuser's Total Liabilities came in at $7.19 billion, up 5.5% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In prior years, Weyerhaeuser's Total Liabilities was $6.82 billion in FY2024 (+1.0%), $6.75 billion in FY2023 (+2.4%), $6.59 billion in FY2022 (-4.3%) and $6.89 billion in FY2021 (-9.2%).
- Quarterly Total Liabilities has run from a low of $6.5 billion in Q1 2023 to a high of $7.72 billion in Q3 2021 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2023, with growth of 8.4%; the weakest was Q3 2022, with a decline of 12.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $6.96 billion (Q1 2026), $7.19 billion (Q4 2025) and $7.23 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Weyerhaeuser | 13.96 Bn | 12.26 Bn | 311.00 Mn | 7.06 Bn |
| 2 | Suzano | 10.46 Bn | -7.87 Bn | 558.88 Mn | 23.42 Bn |
| 3 | West Fraser Timber | 5.23 Bn | 4.33 Bn | 381.00 Mn | - |
| 4 | Sylvamo | 1.27 Bn | 1.15 Bn | 132.00 Mn | 1.92 Bn |
| 5 | Mercer International | 12.82 Mn | -435.41 Mn | 10.48 Mn | 1.97 Bn |
| 6 | CL Workshop | 2.45 Mn | -2.02 Mn | - | 6.68 Mn |
| 7 | Smurfit Westrock | 21.68 Bn | 18.58 Bn | 1.40 Bn | 27.14 Bn |
| 8 | Packaging Corp Of America | 21.22 Bn | 18.75 Bn | 512.50 Mn | 6.35 Bn |
| 9 | Boise Cascade | 2.69 Bn | 1.05 Bn | 327.87 Mn | 1.36 Bn |
| 10 | Graphic Packaging Holding | 2.52 Bn | 1.75 Bn | 292.00 Mn | 8.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Bn |
| Mar 31, 2026 | 6.96 Bn |
| Dec 31, 2025 | 7.19 Bn |
| Sep 30, 2025 | 7.23 Bn |
| Jun 30, 2025 | 6.95 Bn |
| Mar 31, 2025 | 6.88 Bn |
| Dec 31, 2024 | 6.82 Bn |
| Sep 30, 2024 | 6.74 Bn |
| Jun 30, 2024 | 6.76 Bn |
| Mar 31, 2024 | 6.70 Bn |
| Dec 31, 2023 | 6.75 Bn |
| Sep 30, 2023 | 7.32 Bn |
| Jun 30, 2023 | 7.33 Bn |
| Mar 31, 2023 | 6.50 Bn |
| Dec 31, 2022 | 6.59 Bn |
| Sep 30, 2022 | 6.75 Bn |
| Jun 30, 2022 | 6.76 Bn |
| Mar 31, 2022 | 6.88 Bn |
| Dec 31, 2021 | 6.89 Bn |
| Sep 30, 2021 | 7.72 Bn |
Weyerhaeuser Total Liabilities 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=total-liabilities&ticker=WY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();