Warby Parker (WRBY) EV to EBITDA (2024 - 2026)
Warby Parker's EV to EBITDA came in at 58.50 for Q2 2026, down 16.7% from 70.23 a year earlier but up 26.1% from the prior quarter.
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Analysis
Warby Parker (WRBY) EV to EBITDA (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Warby Parker reported EV to EBITDA of 44.00, down 7.5% year-over-year; for FY2025, it came in at 49.21, down 64.1% from FY2024.
- Going back by year, EV to EBITDA was 137.14 in FY2024.
- The five-year range for quarterly EV to EBITDA is 46.39 (Q1 2026) to 298.23 (Q3 2024).
- Year-over-year, EV to EBITDA has declined for four consecutive quarters, with an average decline of 47.6% over the last four quarters.
- Business Quant data shows WRBY's EV to EBITDA at 46.39 (Q1 2026), 49.17 (Q4 2025) and 68.79 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Warby Parker | 3.39 Bn | 2.24 Bn | 136.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.50 |
| Mar 31, 2026 | 46.39 |
| Dec 31, 2025 | 49.17 |
| Sep 30, 2025 | 68.79 |
| Jun 30, 2025 | 70.23 |
| Mar 31, 2025 | 68.83 |
| Dec 31, 2024 | 137.14 |
| Sep 30, 2024 | 298.23 |
API Access
Warby Parker EV to EBITDA 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=ev-to-ebitda&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();