Warby Parker (WRBY) Operating Margin (2020 - 2026)
Warby Parker (WRBY) posted Operating Margin of 1.34% for 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) Operating Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Warby Parker was 0.17%, up 2.37 percentage points year-over-year; for FY2025, it was -0.61%, up 3.29 percentage points from FY2024.
- Annual Operating Margin has increased for four consecutive years, with a five-year change of +13.52 percentage points (FY2020 to FY2025).
- In prior years, Warby Parker's Operating Margin 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 Operating Margin has run from a low of -66.96% in Q3 2021 to a high of 1.61% in Q3 2025 over five years.
- On a year-over-year basis, Operating Margin increased in seven of the last eight quarters, with an average year-over-year change of +4.09 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q3 2022, with a gain of 51.04 percentage points; the weakest was Q4 2021, with a drop of 30.00 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 24.22% |
| 10 | Warby Parker | 3.04 Bn | 1.89 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 Operating Margin 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-margin&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();