Warby Parker (WRBY) Inventory (2020 - 2026)
Warby Parker (WRBY) reported Inventory of $42.1 million for Q2 2026, down 2.7% from $43.27 million a year earlier and down 9.4% from the prior quarter.
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Analysis
Warby Parker (WRBY) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker posted Inventory of $44.51 million, down 15.0% from FY2024.
- Inventory has declined for three consecutive years, though with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Inventory came in at $52.35 million in FY2024 (-15.9%), $62.23 million in FY2023 (-9.6%), $68.85 million in FY2022 (+20.6%) and $57.1 million in FY2021 (+48.4%).
- The Q2 2026 figure ranks as the lowest quarterly Inventory since Q4 2020.
- Year over year, Inventory has now declined in each of the last 13 quarters, with an average decline of 12.7% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q4 2021 (growth of 48.4%); the low point was Q2 2025 (a decline of 18.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $46.45 million (Q1 2026), $44.51 million (Q4 2025) and $45.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.66 Bn | 21.86 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.64 Bn | 19.60 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 22.84 Bn | 14.94 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 12.26 Bn | 5.13 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.93 Bn | 5.19 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 8.11 Bn | 4.69 Bn | 1.07 Bn | 1.25 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 1.90 Bn |
| 8 | Gildan Activewear | 6.46 Bn | 5.38 Bn | 459.76 Mn | 2.17 Bn |
| 9 | Birkenstock Holding | 6.03 Bn | 4.35 Bn | 493.89 Mn | 963.27 Mn |
| 10 | Warby Parker | 3.15 Bn | 2.01 Bn | 136.46 Mn | 42.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.10 Mn |
| Mar 31, 2026 | 46.45 Mn |
| Dec 31, 2025 | 44.51 Mn |
| Sep 30, 2025 | 45.59 Mn |
| Jun 30, 2025 | 43.27 Mn |
| Mar 31, 2025 | 48.61 Mn |
| Dec 31, 2024 | 52.35 Mn |
| Sep 30, 2024 | 52.77 Mn |
| Jun 30, 2024 | 53.35 Mn |
| Mar 31, 2024 | 56.45 Mn |
| Dec 31, 2023 | 62.23 Mn |
| Sep 30, 2023 | 63.62 Mn |
| Jun 30, 2023 | 59.83 Mn |
| Mar 31, 2023 | 64.41 Mn |
| Dec 31, 2022 | 68.85 Mn |
| Sep 30, 2022 | 70.57 Mn |
| Jun 30, 2022 | 70.79 Mn |
| Mar 31, 2022 | 64.25 Mn |
| Dec 31, 2021 | 57.10 Mn |
| Sep 30, 2021 | 51.44 Mn |
API Access
Warby Parker Inventory 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=inventory&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();