Warby Parker (WRBY) Prepaid Assets (2020 - 2026)
Warby Parker's (WRBY) quarterly Prepaid Assets came in at $34.0 million in Q2 2026, up 122.02% on a YoY basis from $15.3 million in Q2 2025, and up 60.05% quarter-over-quarter from $21.2 million in Q1 2026.
Warby Parker (WRBY) Prepaid Assets (2020 - 2026) Analysis & Trends
Warby Parker (WRBY) has reported Prepaid Assets for 7 consecutive years, with $34.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Prepaid Assets rose 122.02% year-over-year to $34.0 million; the trailing twelve-month figure through Jun 2026 stood at $34.0 million (up 122.02% YoY), and the FY2025 full-year result was $18.3 million, up 3.93% from the prior year.
- Prepaid Assets improved to $34.0 million in Q2 2026 per WRBY's latest filing, from $21.2 million in the prior quarter.
- Across five years, Prepaid Assets topped out at $34.0 million in Q2 2026 and bottomed at $12.5 million in Q2 2022.
- Historically, Prepaid Assets has averaged $17.2 million across 5 years, with a median of $16.2 million in 2024.
- The sharpest annual moves came in 2022 and 2026: Prepaid Assets tumbled 63.86% in 2022, then jumped 122.02% in 2026.
- Over 5 years, Prepaid Assets stood at $15.7 million in 2022, then rose by 12.82% to $17.7 million in 2023, then declined by 0.68% to $17.6 million in 2024, then gained by 3.93% to $18.3 million in 2025, then jumped by 85.87% to $34.0 million in 2026.
- According to Business Quant data, Prepaid Assets over the past three periods registered $34.0 million, $21.2 million, and $18.3 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 | 33.98 Mn |
| Mar 31, 2026 | 21.23 Mn |
| Dec 31, 2025 | 18.28 Mn |
| Sep 30, 2025 | 16.96 Mn |
| Jun 30, 2025 | 15.31 Mn |
| Mar 31, 2025 | 15.44 Mn |
| Dec 31, 2024 | 17.59 Mn |
| Sep 30, 2024 | 16.32 Mn |
| Jun 30, 2024 | 16.12 Mn |
| Mar 31, 2024 | 18.12 Mn |
| Dec 31, 2023 | 17.71 Mn |
| Sep 30, 2023 | 15.18 Mn |
| Jun 30, 2023 | 14.38 Mn |
| Mar 31, 2023 | 14.93 Mn |
| Dec 31, 2022 | 15.70 Mn |
| Sep 30, 2022 | 12.65 Mn |
| Jun 30, 2022 | 12.51 Mn |
| Mar 31, 2022 | 16.75 Mn |
| Dec 31, 2021 | 13.48 Mn |
| Sep 30, 2021 | 34.99 Mn |
Warby Parker Prepaid Assets 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=prepaid-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();