Warby Parker (WRBY) Total Current Liabilities (2020 - 2026)
Warby Parker (WRBY) recorded Total Current Liabilities of $163.48 million in Q2 2026, up 20.6% from $135.53 million a year earlier and up 6.7% from the prior quarter.
Warby Parker (WRBY) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker reported Total Current Liabilities of $150.13 million, up 15.2% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $130.35 million in FY2024 (+2.6%), $127.09 million in FY2023 (-1.9%), $129.56 million in FY2022 (+9.7%) and $118.1 million in FY2021 (+12.1%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased for ten consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 25.0% in Q1 2026, against a decline of 17.0% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $153.28 million (Q1 2026), $150.13 million (Q4 2025) and $132.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 11.41 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 1.99 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 2.95 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 2.35 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 569.59 Mn |
| 10 | Warby Parker | 3.16 Bn | 2.01 Bn | 136.46 Mn | 163.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.48 Mn |
| Mar 31, 2026 | 153.28 Mn |
| Dec 31, 2025 | 150.13 Mn |
| Sep 30, 2025 | 132.07 Mn |
| Jun 30, 2025 | 135.53 Mn |
| Mar 31, 2025 | 122.61 Mn |
| Dec 31, 2024 | 130.35 Mn |
| Sep 30, 2024 | 130.12 Mn |
| Jun 30, 2024 | 121.03 Mn |
| Mar 31, 2024 | 118.54 Mn |
| Dec 31, 2023 | 127.09 Mn |
| Sep 30, 2023 | 121.81 Mn |
| Jun 30, 2023 | 110.43 Mn |
| Mar 31, 2023 | 111.04 Mn |
| Dec 31, 2022 | 129.56 Mn |
| Sep 30, 2022 | 111.48 Mn |
| Jun 30, 2022 | 119.86 Mn |
| Mar 31, 2022 | 128.74 Mn |
| Dec 31, 2021 | 118.10 Mn |
| Sep 30, 2021 | 134.36 Mn |
Warby Parker Total Current Liabilities 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=total-current-liabilities&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();