Warby Parker (WRBY) Return on Capital Employed [ROCE] (2021 - 2026)
Warby Parker (WRBY) posted Return on Capital Employed [ROCE] of 0.26% for Q2 2026, up 3.51 percentage points from -3.25% a year earlier and up 1.33 percentage points from the prior quarter.
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Analysis
Warby Parker (WRBY) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Warby Parker's Return on Capital Employed [ROCE] came in at -0.97%, up 5.07 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for four consecutive years, with a four-year change of +43.29 percentage points (FY2021 to FY2025).
- In prior years, Warby Parker's Return on Capital Employed [ROCE] was -6.05% in FY2024 (+10.05 pp), -16.09% in FY2023 (+13.55 pp), -29.64% in FY2022 (+14.61 pp) and -44.26% in FY2021.
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 15 quarters, with an average year-over-year change of +6.78 percentage points over the last eight quarters.
- Over the past five years, the year-over-year gain in Return on Capital Employed [ROCE] ranged from 2.97 percentage points (Q1 2026) to 31.09 percentage points (Q2 2023).
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -1.07% (Q1 2026), -0.95% (Q4 2025) and -1.38% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | Warby Parker | 3.33 Bn | 2.19 Bn | 136.46 Mn | 0.26% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.26% |
| Mar 31, 2026 | -1.07% |
| Dec 31, 2025 | -0.95% |
| Sep 30, 2025 | -1.38% |
| Jun 30, 2025 | -3.25% |
| Mar 31, 2025 | -4.04% |
| Dec 31, 2024 | -5.72% |
| Sep 30, 2024 | -8.49% |
| Jun 30, 2024 | -11.44% |
| Mar 31, 2024 | -13.82% |
| Dec 31, 2023 | -15.98% |
| Sep 30, 2023 | -16.16% |
| Jun 30, 2023 | -16.92% |
| Mar 31, 2023 | -19.88% |
| Dec 31, 2022 | -25.87% |
| Sep 30, 2022 | -31.10% |
| Jun 30, 2022 | -48.01% |
| Mar 31, 2022 | -49.58% |
| Dec 31, 2021 | -43.27% |
API Access
Warby Parker Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();