Warby Parker (WRBY) Current Assets (2020 - 2026)
Warby Parker (WRBY) recorded Current Assets of $370.84 million in Q2 2026, up 7.1% from $346.1 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Warby Parker (WRBY) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker reported Current Assets of $352.44 million, up 8.1% from FY2024.
- Annual Current Assets has increased for three straight years, though with a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $326.05 million in FY2024 (+9.2%), $298.62 million in FY2023 (+1.4%), $294.57 million in FY2022 (-10.2%) and $327.98 million in FY2021 (-8.9%).
- The Q2 2026 figure is the highest quarterly Current Assets in data going back to Q4 2020.
- On a year-over-year basis, Current Assets has increased for 12 consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 12.1% in Q2 2025, against a decline of 20.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $357.69 million (Q1 2026), $352.44 million (Q4 2025) and $344.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 23.67 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 2.88 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 3.83 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 2.85 Bn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 3.95 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 3.24 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 4.20 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 4.53 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 2.15 Bn |
| 10 | Warby Parker | 3.16 Bn | 2.01 Bn | 136.46 Mn | 370.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370.84 Mn |
| Mar 31, 2026 | 357.69 Mn |
| Dec 31, 2025 | 352.44 Mn |
| Sep 30, 2025 | 344.06 Mn |
| Jun 30, 2025 | 346.10 Mn |
| Mar 31, 2025 | 330.60 Mn |
| Dec 31, 2024 | 326.05 Mn |
| Sep 30, 2024 | 321.21 Mn |
| Jun 30, 2024 | 308.63 Mn |
| Mar 31, 2024 | 296.12 Mn |
| Dec 31, 2023 | 298.62 Mn |
| Sep 30, 2023 | 295.48 Mn |
| Jun 30, 2023 | 288.04 Mn |
| Mar 31, 2023 | 284.56 Mn |
| Dec 31, 2022 | 294.57 Mn |
| Sep 30, 2022 | 282.21 Mn |
| Jun 30, 2022 | 295.81 Mn |
| Mar 31, 2022 | 312.15 Mn |
| Dec 31, 2021 | 327.98 Mn |
| Sep 30, 2021 | 353.49 Mn |
API Access
Warby Parker Current 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=current-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();