Warby Parker (WRBY) Return on Sales [ROS] (2020 - 2026)
Warby Parker's Return on Sales [ROS] was 1.34% in Q2 2026, up 3.45 percentage points from -2.11% a year earlier and up 0.66 percentage points from the prior quarter.
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Analysis
Warby Parker (WRBY) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Warby Parker's Return on Sales [ROS] was 0.17% through Jun 30, 2026, up 2.37 percentage points year-over-year; for FY2025, it came in at -0.61%, up 3.29 percentage points from FY2024.
- Return on Sales [ROS] has now increased for four consecutive years, with a five-year change of +13.52 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -3.90% in FY2024 (+6.85 pp), -10.75% in FY2023 (+7.84 pp), -18.59% in FY2022 (+7.97 pp) and -26.56% in FY2021 (-12.43 pp).
- Quarterly Return on Sales [ROS] has moved between -66.96% (Q3 2021) and 1.61% (Q3 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +4.09 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2022 (a gain of 51.04 percentage points); the worst was Q4 2021 (a drop of 30.00 percentage points).
- Per Business Quant data, WRBY's Return on Sales [ROS] in the three quarters before Q2 2026 was 0.69% (Q1 2026), -3.23% (Q4 2025) and 1.61% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Warby Parker | 3.33 Bn | 2.19 Bn | 136.46 Mn | 1.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.34% |
| Mar 31, 2026 | 0.69% |
| Dec 31, 2025 | -3.23% |
| Sep 30, 2025 | 1.61% |
| Jun 30, 2025 | -2.11% |
| Mar 31, 2025 | 1.10% |
| Dec 31, 2024 | -4.94% |
| Sep 30, 2024 | -3.44% |
| Jun 30, 2024 | -4.76% |
| Mar 31, 2024 | -2.56% |
| Dec 31, 2023 | -13.33% |
| Sep 30, 2023 | -11.64% |
| Jun 30, 2023 | -10.98% |
| Mar 31, 2023 | -7.23% |
| Dec 31, 2022 | -14.82% |
| Sep 30, 2022 | -15.91% |
| Jun 30, 2022 | -21.44% |
| Mar 31, 2022 | -22.02% |
| Dec 31, 2021 | -34.54% |
| Sep 30, 2021 | -66.96% |
API Access
Warby Parker 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=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WRBY", "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=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();