Warby Parker (WRBY) Non-Current Assets (2020 - 2026)
Warby Parker (WRBY) reported Non-Current Assets of $401.48 million for Q2 2026, up 12.8% from $355.8 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Warby Parker (WRBY) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker posted Non-Current Assets of $368.48 million, up 5.1% from FY2024.
- Non-Current Assets has increased for five consecutive years, with a five-year compound annual growth rate of 34.1% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $350.44 million in FY2024 (+24.4%), $281.69 million in FY2023 (+2.8%), $274.14 million in FY2022 (+143.3%) and $112.67 million in FY2021 (+32.8%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to Q4 2020.
- Year over year, Non-Current Assets has now increased in each of the last 16 quarters, with growth averaging 13.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 2.8% in Q4 2023 to 152.6% in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $378.72 million (Q1 2026), $368.48 million (Q4 2025) and $362.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.76 Bn | 22.97 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.33 Bn | 19.29 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.98 Bn | 15.08 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.63 Bn | 5.50 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 11.40 Bn | 5.66 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 8.22 Bn | 4.80 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 6.84 Bn | 3.46 Bn | 917.04 Mn | 5.26 Bn |
| 8 | Gildan Activewear | 6.52 Bn | 5.44 Bn | 459.76 Mn | 5.52 Bn |
| 9 | Birkenstock Holding | 6.24 Bn | 4.56 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Warby Parker | 3.24 Bn | 2.09 Bn | 136.46 Mn | 401.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 401.48 Mn |
| Mar 31, 2026 | 378.72 Mn |
| Dec 31, 2025 | 368.48 Mn |
| Sep 30, 2025 | 362.86 Mn |
| Jun 30, 2025 | 355.80 Mn |
| Mar 31, 2025 | 352.16 Mn |
| Dec 31, 2024 | 350.44 Mn |
| Sep 30, 2024 | 316.78 Mn |
| Jun 30, 2024 | 309.57 Mn |
| Mar 31, 2024 | 296.78 Mn |
| Dec 31, 2023 | 281.69 Mn |
| Sep 30, 2023 | 279.40 Mn |
| Jun 30, 2023 | 273.67 Mn |
| Mar 31, 2023 | 273.32 Mn |
| Dec 31, 2022 | 274.14 Mn |
| Sep 30, 2022 | 267.94 Mn |
| Jun 30, 2022 | 247.75 Mn |
| Mar 31, 2022 | 232.51 Mn |
| Dec 31, 2021 | 112.67 Mn |
| Sep 30, 2021 | 106.07 Mn |
API Access
Warby Parker 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=non-current-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();