Warby Parker (WRBY) Return on Equity [ROE] (2021 - 2026)
Warby Parker (WRBY) posted Return on Equity [ROE] of 2.02% for Q2 2026, up 4.60 percentage points from -2.59% a year earlier and up 1.65 percentage points from the prior quarter.
Warby Parker (WRBY) Return on Equity [ROE] (2021 - 2026) Analysis & Trends
For FY2025, Warby Parker's Return on Equity [ROE] came in at 0.46%, up 6.82 percentage points from FY2024.
- Annual Return on Equity [ROE] has increased for four consecutive years, with a four-year change of +328.81 percentage points (FY2021 to FY2025).
- In prior years, Warby Parker's Return on Equity [ROE] was -6.36% in FY2024 (+15.12 pp), -21.48% in FY2023 (+17.08 pp), -38.56% in FY2022 (+289.79 pp) and -328.34% in FY2021.
- The Q2 2026 figure stands as the highest quarterly Return on Equity [ROE] in data going back to Q3 2021.
- On a year-over-year basis, Return on Equity [ROE] has increased in each of the last 16 quarters, with an average year-over-year change of +9.64 percentage points over the last eight quarters.
- Across the past five years, year-over-year gain in Return on Equity [ROE] ran from 4.47 percentage points in Q1 2026 to 224.04 percentage points in Q3 2022.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was 0.36% (Q1 2026), 0.45% (Q4 2025) and 0.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 21.47% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 222.29% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 35.34% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 29.49% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 28.54% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 3.42% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 11.79% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 42.21% |
| 10 | Warby Parker | 3.42 Bn | 2.28 Bn | 136.46 Mn | 2.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02% |
| Mar 31, 2026 | 0.36% |
| Dec 31, 2025 | 0.45% |
| Sep 30, 2025 | 0.19% |
| Jun 30, 2025 | -2.59% |
| Mar 31, 2025 | -4.11% |
| Dec 31, 2024 | -6.03% |
| Sep 30, 2024 | -9.78% |
| Jun 30, 2024 | -14.22% |
| Mar 31, 2024 | -17.82% |
| Dec 31, 2023 | -20.84% |
| Sep 30, 2023 | -21.23% |
| Jun 30, 2023 | -23.67% |
| Mar 31, 2023 | -29.87% |
| Dec 31, 2022 | -37.87% |
| Sep 30, 2022 | -47.06% |
| Jun 30, 2022 | -72.24% |
| Mar 31, 2022 | -64.02% |
| Dec 31, 2021 | -49.97% |
| Sep 30, 2021 | -271.09% |
Warby Parker Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();