Wayfair (W) Operating Expenses (2013 - 2026)
Wayfair's Operating Expenses was $950 million in Q2 2026, down 1.8% from $967 million a year earlier but up 6.6% from the prior quarter.
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Analysis
Wayfair (W) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wayfair's Operating Expenses was $3.66 billion through Jun 30, 2026, down 6.8% year-over-year; for FY2025, it came in at $3.75 billion, down 7.1% from FY2024.
- Operating Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $4.04 billion in FY2024 (-9.9%), $4.48 billion in FY2023 (-6.7%), $4.8 billion in FY2022 (+20.3%) and $3.99 billion in FY2021 (+6.3%).
- Quarterly Operating Expenses has moved between $891 million (Q1 2026) and $1.27 billion (Q2 2022) over five years.
- Compared with a year earlier, Operating Expenses has declined for 13 straight quarters, with an average decline of 6.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 29.1%); the worst was Q2 2024 (a decline of 13.4%).
- Per Business Quant data, W's Operating Expenses in the three quarters before Q2 2026 was $891 million (Q1 2026), $926 million (Q4 2025) and $896 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 704.00 Mn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 5.73 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Wayfair | 14.37 Bn | 9.40 Bn | 1.05 Bn | 950.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 950.00 Mn |
| Mar 31, 2026 | 891.00 Mn |
| Dec 31, 2025 | 926.00 Mn |
| Sep 30, 2025 | 896.00 Mn |
| Jun 30, 2025 | 967.00 Mn |
| Mar 31, 2025 | 959.00 Mn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 947.00 Mn |
| Jun 30, 2024 | 976.00 Mn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | 1.17 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 1.20 Bn |
| Jun 30, 2022 | 1.27 Bn |
| Mar 31, 2022 | 1.11 Bn |
| Dec 31, 2021 | 1.08 Bn |
| Sep 30, 2021 | 953.00 Mn |
API Access
Wayfair 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=W&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "W", "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=W&period=max&api_key=YOUR_API_KEY");
const data = await res.json();