Warby Parker (WRBY) Enterprise Value (2021 - 2026)
Warby Parker (WRBY) posted Enterprise Value of $3.45 billion for Q2 2026, up 44.6% from $2.39 billion a year earlier and up 50.3% from the prior quarter.
Warby Parker (WRBY) Enterprise Value (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Warby Parker was $2.59 billion, up 60.6% year-over-year; for FY2025, it came in at $2.38 billion, down 10.8% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of -17.3% (FY2021 to FY2025).
- In prior years, Warby Parker's Enterprise Value was $2.67 billion in FY2024 (+84.7%), $1.44 billion in FY2023 (+7.2%), $1.35 billion in FY2022 (-73.5%) and $5.08 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q1 2022.
- On a year-over-year basis, Enterprise Value increased in seven of the last eight quarters, with growth averaging 40.9%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2024, with growth of 84.7%; the weakest was Q3 2022, with a decline of 76.4%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $2.29 billion (Q1 2026), $2.38 billion (Q4 2025) and $3.09 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.12 Bn | 22.33 Bn | 4.80 Bn |
| 2 | Tapestry | 23.79 Bn | 19.75 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 23.00 Bn | 15.09 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.31 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.98 Bn | 5.23 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.19 Bn | 4.77 Bn | 1.07 Bn |
| 7 | V F | 6.79 Bn | 3.41 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.50 Bn | 5.42 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.06 Bn | 4.38 Bn | 493.89 Mn |
| 10 | Warby Parker | 3.16 Bn | 2.02 Bn | 136.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.45 Bn |
| Mar 31, 2026 | 2.29 Bn |
| Dec 31, 2025 | 2.38 Bn |
| Sep 30, 2025 | 3.09 Bn |
| Jun 30, 2025 | 2.39 Bn |
| Mar 31, 2025 | 1.95 Bn |
| Dec 31, 2024 | 2.67 Bn |
| Sep 30, 2024 | 1.71 Bn |
| Jun 30, 2024 | 1.68 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.33 Bn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 1.33 Bn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 3.62 Bn |
| Dec 31, 2021 | 5.08 Bn |
| Sep 30, 2021 | 5.64 Bn |
Warby Parker Enterprise Value 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=enterprise-value&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();