Williams Sonoma (WSM) Operating Expenses (2009 - 2026)
Williams Sonoma's Operating Expenses was $563.15 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 5.0% from $536.56 million a year earlier.
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Analysis
Williams Sonoma (WSM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Williams Sonoma's Operating Expenses was $2.28 billion through Aug 2, 2026, up 5.4% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $2.19 billion, up 1.6% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $2.15 billion in FY2025 (+4.5%), $2.06 billion in FY2024 (-5.5%), $2.18 billion in FY2023 (unchanged) and $2.18 billion in FY2022 (+26.3%).
- Quarterly Operating Expenses has moved between $475.1 million (fiscal Q1 2026) and $635.48 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last seven quarters, with growth averaging 3.0%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 31.1%); the worst was fiscal Q2 2024 (a decline of 13.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Williams Sonoma | 27.08 Bn | 23.16 Bn | 1.01 Bn | 563.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 563.15 Mn |
| Feb 1, 2026 | 627.08 Mn |
| Nov 2, 2025 | 548.59 Mn |
| Aug 3, 2025 | 536.56 Mn |
| May 4, 2025 | 475.10 Mn |
| Feb 2, 2025 | 635.48 Mn |
| Oct 27, 2024 | 512.54 Mn |
| Jul 28, 2024 | 526.04 Mn |
| Apr 28, 2024 | 478.06 Mn |
| Jan 28, 2024 | 590.52 Mn |
| Oct 29, 2023 | 507.28 Mn |
| Jul 30, 2023 | 486.02 Mn |
| Apr 30, 2023 | 475.58 Mn |
| Jan 29, 2023 | 540.06 Mn |
| Oct 30, 2022 | 570.89 Mn |
| Jul 31, 2022 | 563.29 Mn |
| May 1, 2022 | 505.07 Mn |
| Jan 30, 2022 | 600.67 Mn |
| Oct 31, 2021 | 565.22 Mn |
| Aug 1, 2021 | 535.29 Mn |
API Access
Williams Sonoma 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=WSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();