Warby Parker (WRBY) Total Non-Current Liabilities (2020 - 2026)
Warby Parker's Total Non-Current Liabilities came in at $378.92 million for Q2 2026, up 11.7% from $339.28 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Warby Parker (WRBY) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker's Total Non-Current Liabilities was $351.88 million, up 4.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $335.47 million in FY2024 (+21.0%), $277.26 million in FY2023 (-1.1%), $280.39 million in FY2022 (+137.4%) and $118.1 million in FY2021 (-80.8%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q4 2020.
- Year-over-year, Total Non-Current Liabilities has increased for ten consecutive quarters, with growth averaging 13.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2022 (growth of 137.4%), and the weakest in Q4 2021 (a decline of 80.8%).
- Business Quant data shows WRBY's Total Non-Current Liabilities at $359.03 million (Q1 2026), $351.88 million (Q4 2025) and $335.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | 4.63 Bn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | 4.29 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 7.07 Bn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | 4.37 Bn |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | 2.70 Bn |
| 10 | Warby Parker | 3.18 Bn | 2.03 Bn | 136.46 Mn | 378.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 378.92 Mn |
| Mar 31, 2026 | 359.03 Mn |
| Dec 31, 2025 | 351.88 Mn |
| Sep 30, 2025 | 335.95 Mn |
| Jun 30, 2025 | 339.28 Mn |
| Mar 31, 2025 | 327.39 Mn |
| Dec 31, 2024 | 335.47 Mn |
| Sep 30, 2024 | 300.22 Mn |
| Jun 30, 2024 | 287.72 Mn |
| Mar 31, 2024 | 275.53 Mn |
| Dec 31, 2023 | 277.26 Mn |
| Sep 30, 2023 | 268.91 Mn |
| Jun 30, 2023 | 258.18 Mn |
| Mar 31, 2023 | 259.96 Mn |
| Dec 31, 2022 | 280.39 Mn |
| Sep 30, 2022 | 251.99 Mn |
| Jun 30, 2022 | 259.60 Mn |
| Mar 31, 2022 | 261.57 Mn |
| Dec 31, 2021 | 118.10 Mn |
| Sep 30, 2021 | 134.36 Mn |
API Access
Warby Parker Total Non-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-non-current-liabilities&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();