Warby Parker (WRBY) Price to FCF (2023 - 2026)
Warby Parker's (WRBY) Price to FCF was 172.04 for Q2 2026, up 237.2% from 51.02 a year earlier and up 159.1% from the prior quarter.
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Analysis
Warby Parker (WRBY) Price to FCF (2023 - 2026) Analysis & Trends
For FY2025, Price to FCF at Warby Parker was 60.94, down 27.6% from FY2024.
- By year, Price to FCF came in at 84.19 in FY2024 (-62.9%) and 227.00 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Price to FCF since Q4 2023.
- Year over year, Price to FCF gained in three of the last eight quarters, with growth averaging 13.1%.
- The high point for year-over-year Price to FCF in five years was Q2 2026 (growth of 237.2%); the low point was Q4 2024 (a decline of 62.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 66.40 (Q1 2026), 60.94 (Q4 2025) and 89.06 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Warby Parker | 3.33 Bn | 2.19 Bn | 136.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172.04 |
| Mar 31, 2026 | 66.40 |
| Dec 31, 2025 | 60.94 |
| Sep 30, 2025 | 89.06 |
| Jun 30, 2025 | 51.02 |
| Mar 31, 2025 | 52.11 |
| Dec 31, 2024 | 84.19 |
| Sep 30, 2024 | 60.12 |
| Jun 30, 2024 | 80.05 |
| Mar 31, 2024 | 97.42 |
| Dec 31, 2023 | 227.00 |
| Sep 30, 2023 | 91.57 |
API Access
Warby Parker Price 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=price-to-fcf&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();