Weyerhaeuser (WY) Total Liabilities (2009 - 2026)
Weyerhaeuser (WY) posted Total Liabilities of $7 billion for Q3 2026, down 3.2% from $7.23 billion a year earlier and down 0.8% 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 $7.33 billion in Q2 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 2.3%.
- 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 $7.06 billion (Q2 2026), $6.96 billion (Q1 2026) and $7.19 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Weyerhaeuser | 14.87 Bn | 13.23 Bn | 257.00 Mn | 7.00 Bn |
| 2 | Suzano | 12.18 Bn | -5.80 Bn | 762.11 Mn | 26.71 Bn |
| 3 | West Fraser Timber | 5.28 Bn | 2.38 Bn | - | 1.77 Bn |
| 4 | Sylvamo | 1.49 Bn | 1.37 Bn | 132.00 Mn | 1.92 Bn |
| 5 | Mercer International | 17.07 Mn | -404.06 Mn | 24.19 Mn | 1.97 Bn |
| 6 | CL Workshop | 409,690.96 | -7.72 Mn | - | 6.68 Mn |
| 7 | Smurfit Westrock | 23.02 Bn | 20.06 Bn | 1.44 Bn | 27.13 Bn |
| 8 | Packaging Corp Of America | 22.34 Bn | 19.92 Bn | 603.90 Mn | 6.43 Bn |
| 9 | Graphic Packaging Holding | 3.20 Bn | 2.20 Bn | 307.00 Mn | 8.27 Bn |
| 10 | Boise Cascade | 2.48 Bn | 969.81 Mn | 295.63 Mn | 1.36 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.00 Bn |
| 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 |
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();