Warby Parker (WRBY) Net Margin (2020 - 2026)
Warby Parker (WRBY) posted Net Margin of 1.97% for Q2 2026, up 2.79 percentage points from -0.82% a year earlier and up 0.66 percentage points from the prior quarter.
Warby Parker (WRBY) Net Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at Warby Parker was 0.85%, up 1.97 percentage points year-over-year; for FY2025, it came in at 0.19%, up 2.83 percentage points from FY2024.
- Annual Net Margin has increased for four consecutive years, with a five-year change of +14.39 percentage points (FY2020 to FY2025).
- In prior years, Warby Parker's Net Margin was -2.64% in FY2024 (+6.79 pp), -9.44% in FY2023 (+9.02 pp), -18.46% in FY2022 (+10.65 pp) and -29.11% in FY2021 (-14.90 pp).
- Quarterly Net Margin has run from a low of -66.30% in Q3 2021 to a high of 2.65% in Q3 2025 over five years.
- On a year-over-year basis, Net Margin increased in seven of the last eight quarters, with an average year-over-year change of +3.76 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was Q3 2022, with a gain of 50.27 percentage points; the weakest was Q4 2021, with a drop of 30.73 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was 1.31% (Q1 2026), -2.81% (Q4 2025) and 2.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.73 Bn | 21.93 Bn | 4.80 Bn | 6.35% |
| 2 | Tapestry | 23.85 Bn | 19.80 Bn | 1.56 Bn | 18.53% |
| 3 | Ralph Lauren | 22.94 Bn | 15.04 Bn | 1.44 Bn | 13.38% |
| 4 | Deckers Outdoor | 12.34 Bn | 5.21 Bn | - | - |
| 5 | Lululemon Athletica | 10.97 Bn | 5.22 Bn | 1.46 Bn | 13.63% |
| 6 | Levi Strauss | 8.18 Bn | 4.76 Bn | 1.07 Bn | 10.47% |
| 7 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | -5.82% |
| 8 | Gildan Activewear | 6.51 Bn | 5.43 Bn | 459.76 Mn | -3.16% |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn | 15.23% |
| 10 | Warby Parker | 3.18 Bn | 2.03 Bn | 136.46 Mn | 1.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.97% |
| Mar 31, 2026 | 1.31% |
| Dec 31, 2025 | -2.81% |
| Sep 30, 2025 | 2.65% |
| Jun 30, 2025 | -0.82% |
| Mar 31, 2025 | 1.55% |
| Dec 31, 2024 | -3.61% |
| Sep 30, 2024 | -2.12% |
| Jun 30, 2024 | -3.59% |
| Mar 31, 2024 | -1.34% |
| Dec 31, 2023 | -11.77% |
| Sep 30, 2023 | -10.25% |
| Jun 30, 2023 | -9.59% |
| Mar 31, 2023 | -6.29% |
| Dec 31, 2022 | -13.82% |
| Sep 30, 2022 | -16.03% |
| Jun 30, 2022 | -21.50% |
| Mar 31, 2022 | -22.28% |
| Dec 31, 2021 | -34.54% |
| Sep 30, 2021 | -66.30% |
Warby Parker Net 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=net-margin&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();