Warby Parker (WRBY) Other Non-Current Assets (2020 - 2026)
Warby Parker (WRBY) posted Other Non-Current Assets of $13.37 million for Q2 2026, up 59.0% from $8.41 million a year earlier and up 10.3% from the prior quarter.
Warby Parker (WRBY) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker's Other Non-Current Assets came in at $10.23 million, up 17.6% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 104.8% (FY2020 to FY2025).
- In prior years, Warby Parker's Other Non-Current Assets was $8.7 million in FY2024 (+23.2%), $7.06 million in FY2023 (-17.0%), $8.5 million in FY2022 and $471,000 in FY2021 (+65.8%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Assets in data going back to Q4 2020.
- On a year-over-year basis, Other Non-Current Assets has increased in each of the last four quarters, with growth averaging 16.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q3 2022, with growth of 685.1%; the weakest was Q1 2025, with a decline of 22.1%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $12.12 million (Q1 2026), $10.23 million (Q4 2025) and $8.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 180.20 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 146.90 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 66.33 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 332.64 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 545.60 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 2.88 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 98.97 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 14.17 Mn |
| 10 | Warby Parker | 3.16 Bn | 2.01 Bn | 136.46 Mn | 13.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.37 Mn |
| Mar 31, 2026 | 12.12 Mn |
| Dec 31, 2025 | 10.23 Mn |
| Sep 30, 2025 | 8.78 Mn |
| Jun 30, 2025 | 8.41 Mn |
| Mar 31, 2025 | 8.17 Mn |
| Dec 31, 2024 | 8.70 Mn |
| Sep 30, 2024 | 8.73 Mn |
| Jun 30, 2024 | 8.70 Mn |
| Mar 31, 2024 | 10.49 Mn |
| Dec 31, 2023 | 7.06 Mn |
| Sep 30, 2023 | 7.93 Mn |
| Jun 30, 2023 | 7.71 Mn |
| Mar 31, 2023 | 9.57 Mn |
| Dec 31, 2022 | 8.50 Mn |
| Sep 30, 2022 | 5.80 Mn |
| Jun 30, 2022 | 3.81 Mn |
| Mar 31, 2022 | 1.52 Mn |
| Dec 31, 2021 | 471,000.00 |
| Sep 30, 2021 | 739,000.00 |
Warby Parker Other Non-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=other-non-current-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();