Warby Parker (WRBY) Gross Profit (2020 - 2026)
Warby Parker's (WRBY) quarterly Gross Profit came in at $136.5 million in Q2 2026, up 20.11% on a YoY basis from $113.6 million in Q2 2025, and up 4.13% quarter-over-quarter from $131.0 million in Q1 2026.
Warby Parker (WRBY) Gross Profit (2020 - 2026) Analysis & Trends
Warby Parker (WRBY) has reported Gross Profit for 7 consecutive years, with $136.5 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Gross Profit rose 20.11% year-over-year to $136.5 million; the trailing twelve-month figure through Jun 2026 stood at $498.5 million (up 11.37% YoY), and the FY2025 full-year result was $470.6 million, up 10.25% from the prior year.
- Gross Profit improved to $136.5 million in Q2 2026 per WRBY's latest filing, from $131.0 million in the prior quarter.
- Across five years, Gross Profit topped out at $136.5 million in Q2 2026 and bottomed at $80.7 million in Q4 2022.
- Historically, Gross Profit has averaged $104.0 million across 5 years, with a median of $104.0 million in 2024.
- The widest YoY moves for Gross Profit: up 20.11% in 2026, down 4.02% in 2026.
- Over 5 years, Gross Profit stood at $80.7 million in 2022, then gained by 7.95% to $87.1 million in 2023, then rose by 18.45% to $103.1 million in 2024, then increased by 7.68% to $111.0 million in 2025, then advanced by 22.89% to $136.5 million in 2026.
- According to Business Quant data, Gross Profit over the past three periods registered $136.5 million, $131.0 million, and $111.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.46 Mn |
| Mar 31, 2026 | 131.04 Mn |
| Dec 31, 2025 | 111.04 Mn |
| Sep 30, 2025 | 119.95 Mn |
| Jun 30, 2025 | 113.61 Mn |
| Mar 31, 2025 | 125.98 Mn |
| Dec 31, 2024 | 103.13 Mn |
| Sep 30, 2024 | 104.87 Mn |
| Jun 30, 2024 | 105.38 Mn |
| Mar 31, 2024 | 113.46 Mn |
| Dec 31, 2023 | 87.07 Mn |
| Sep 30, 2023 | 92.73 Mn |
| Jun 30, 2023 | 90.64 Mn |
| Mar 31, 2023 | 94.79 Mn |
| Dec 31, 2022 | 80.65 Mn |
| Sep 30, 2022 | 84.42 Mn |
| Jun 30, 2022 | 86.35 Mn |
| Mar 31, 2022 | 89.65 Mn |
| Dec 31, 2021 | 76.25 Mn |
| Sep 30, 2021 | 79.66 Mn |
Warby Parker Gross Profit 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=gross-profit&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();