Wayfair (W) Return on Sales [ROS] (2014 - 2026)
Wayfair (W) posted Return on Sales [ROS] of 2.96% for Q2 2026, up 2.44 percentage points from 0.52% a year earlier and up 3.33 percentage points from the prior quarter.
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Analysis
Wayfair (W) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Wayfair was 1.67%, up 4.13 percentage points year-over-year; for FY2025, it was 0.14%, up 4.03 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, though with a five-year change of -2.41 percentage points (FY2020 to FY2025).
- In prior years, Wayfair's Return on Sales [ROS] was -3.89% in FY2024 (+2.88 pp), -6.77% in FY2023 (+4.55 pp), -11.33% in FY2022 (-10.64 pp) and -0.69% in FY2021 (-3.23 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 13 quarters, with an average year-over-year change of +3.34 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 7.94 percentage points; the weakest was Q2 2022, with a drop of 15.11 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -0.38% (Q1 2026), 2.52% (Q4 2025) and 1.22% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 20.15% |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 9.22% |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 9.65% |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 19.08% |
| 10 | Wayfair | 14.37 Bn | 9.40 Bn | 1.05 Bn | 2.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.96% |
| Mar 31, 2026 | -0.38% |
| Dec 31, 2025 | 2.52% |
| Sep 30, 2025 | 1.22% |
| Jun 30, 2025 | 0.52% |
| Mar 31, 2025 | -4.47% |
| Dec 31, 2024 | -3.75% |
| Sep 30, 2024 | -2.57% |
| Jun 30, 2024 | -1.12% |
| Mar 31, 2024 | -8.61% |
| Dec 31, 2023 | -5.52% |
| Sep 30, 2023 | -5.16% |
| Jun 30, 2023 | -4.48% |
| Mar 31, 2023 | -12.51% |
| Dec 31, 2022 | -10.64% |
| Sep 30, 2022 | -13.10% |
| Jun 30, 2022 | -11.33% |
| Mar 31, 2022 | -10.36% |
| Dec 31, 2021 | -6.03% |
| Sep 30, 2021 | -2.24% |
API Access
Wayfair Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=W&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=W&period=max&api_key=YOUR_API_KEY");
const data = await res.json();