Williams Sonoma (WSM) Change in Accured Expenses (2009 - 2026)
Williams Sonoma's Change in Accured Expenses came in at $68.97 million for fiscal Q4 2026 (quarter ended Feb 1, 2026), up 8.4% from $63.62 million a year earlier and up 48.5% from the prior quarter.
Williams Sonoma (WSM) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Williams Sonoma's Change in Accured Expenses was $37.29 million, up 38.0% from FY2025.
- Change in Accured Expenses carries a five-year compound annual growth rate of -22.0% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was $27.02 million in FY2025 (+447.6%), $4.94 million in FY2024, -$62 million in FY2023 and $49.46 million in FY2022 (-61.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Change in Accured Expenses since fiscal Q4 2021.
- Year-over-year, Change in Accured Expenses has increased for three consecutive quarters, with growth averaging 43.4% over the last six quarters.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q2 2025 (growth of 96.6%), and the weakest in fiscal Q4 2022 (a decline of 64.5%).
- Business Quant data shows WSM's Change in Accured Expenses at $46.46 million (Q3 2026), $61.06 million (Q2 2026) and -$139.21 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Williams Sonoma | 27.34 Bn | 23.42 Bn | 1.01 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Feb 1, 2026 | 68.97 Mn |
| Nov 2, 2025 | 46.46 Mn |
| Aug 3, 2025 | 61.06 Mn |
| May 4, 2025 | -139.21 Mn |
| Feb 2, 2025 | 63.62 Mn |
| Oct 27, 2024 | 29.33 Mn |
| Jul 28, 2024 | 48.96 Mn |
| Apr 28, 2024 | -114.89 Mn |
| Jan 28, 2024 | 53.91 Mn |
| Oct 29, 2023 | 18.98 Mn |
| Jul 30, 2023 | 24.90 Mn |
| Apr 30, 2023 | -92.86 Mn |
| Jan 29, 2023 | -27.84 Mn |
| Oct 30, 2022 | 44.74 Mn |
| Jul 31, 2022 | 60.99 Mn |
| May 1, 2022 | -139.88 Mn |
| Jan 30, 2022 | 25.06 Mn |
| Oct 31, 2021 | 68.05 Mn |
| Aug 1, 2021 | 47.23 Mn |
| May 2, 2021 | -90.88 Mn |
Williams Sonoma Change in Accured 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=change-in-accured-expenses&ticker=WSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "WSM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=WSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();