Warby Parker (WRBY) EV to FCF (2023 - 2026)
Warby Parker's (WRBY) EV to FCF was 158.58 for Q2 2026, up 248.1% from 45.55 a year earlier and up 168.8% from the prior quarter.
Warby Parker (WRBY) EV to FCF (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Warby Parker's EV to FCF came in at 119.26, up 286.7% year-over-year; for FY2025, it came in at 54.40, down 29.2% from FY2024.
- By year, EV to FCF came in at 76.87 in FY2024 (-61.1%) and 197.37 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly EV to FCF since Q4 2023.
- Year over year, EV to FCF gained in three of the last eight quarters, with growth averaging 16.0%.
- The high point for year-over-year EV to FCF in five years was Q2 2026 (growth of 248.1%); the low point was Q4 2024 (a decline of 61.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 58.99 (Q1 2026), 54.40 (Q4 2025) and 81.64 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Warby Parker | 3.42 Bn | 2.28 Bn | 136.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.58 |
| Mar 31, 2026 | 58.99 |
| Dec 31, 2025 | 54.40 |
| Sep 30, 2025 | 81.64 |
| Jun 30, 2025 | 45.55 |
| Mar 31, 2025 | 45.86 |
| Dec 31, 2024 | 76.87 |
| Sep 30, 2024 | 52.43 |
| Jun 30, 2024 | 70.13 |
| Mar 31, 2024 | 84.11 |
| Dec 31, 2023 | 197.37 |
| Sep 30, 2023 | 78.75 |
Warby Parker EV to FCF 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-fcf&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();