Warby Parker (WRBY) Cash & Equivalents (2020 - 2026)
Warby Parker's Cash & Equivalents was $292.67 million in Q2 2026, up 2.2% from $286.38 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Warby Parker (WRBY) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Warby Parker came in at $286.36 million, up 12.7% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, though with a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $254.16 million in FY2024 (+17.2%), $216.89 million in FY2023 (+4.0%), $208.59 million in FY2022 (-18.7%) and $256.42 million in FY2021 (-18.4%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q4 2020.
- Compared with a year earlier, Cash & Equivalents has increased for 13 straight quarters, with growth averaging 13.7% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2025 (growth of 20.4%); the worst was Q3 2022 (a decline of 25.7%).
- Per Business Quant data, WRBY's Cash & Equivalents in the three quarters before Q2 2026 was $288.25 million (Q1 2026), $286.36 million (Q4 2025) and $280.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | 1.72 Bn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | 974.70 Mn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 641.40 Mn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 268.30 Mn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | 670.06 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Warby Parker | 3.19 Bn | 2.05 Bn | 136.46 Mn | 292.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.67 Mn |
| Mar 31, 2026 | 288.25 Mn |
| Dec 31, 2025 | 286.36 Mn |
| Sep 30, 2025 | 280.36 Mn |
| Jun 30, 2025 | 286.38 Mn |
| Mar 31, 2025 | 265.07 Mn |
| Dec 31, 2024 | 254.16 Mn |
| Sep 30, 2024 | 251.03 Mn |
| Jun 30, 2024 | 237.96 Mn |
| Mar 31, 2024 | 220.38 Mn |
| Dec 31, 2023 | 216.89 Mn |
| Sep 30, 2023 | 215.97 Mn |
| Jun 30, 2023 | 212.66 Mn |
| Mar 31, 2023 | 204.26 Mn |
| Dec 31, 2022 | 208.59 Mn |
| Sep 30, 2022 | 197.89 Mn |
| Jun 30, 2022 | 211.60 Mn |
| Mar 31, 2022 | 230.32 Mn |
| Dec 31, 2021 | 256.42 Mn |
| Sep 30, 2021 | 266.24 Mn |
API Access
Warby Parker Cash & Equivalents 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=cash-and-equivalents&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();