Warby Parker (WRBY) Accumulated Expenses (2020 - 2026)
Warby Parker (WRBY) posted Accumulated Expenses of $61.3 million for Q2 2026, up 1.2% from $60.57 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Warby Parker (WRBY) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker's Accumulated Expenses came in at $49.23 million, down 4.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In prior years, Warby Parker's Accumulated Expenses was $51.61 million in FY2024 (+11.4%), $46.32 million in FY2023 (-20.4%), $58.22 million in FY2022 (-4.3%) and $60.84 million in FY2021 (+77.5%).
- Quarterly Accumulated Expenses has run from a low of $42.76 million in Q2 2023 to a high of $67.64 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 12.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 77.5%; the weakest was Q4 2023, with a decline of 20.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $60.34 million (Q1 2026), $49.23 million (Q4 2025) and $67.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn |
| 10 | Warby Parker | 3.16 Bn | 2.02 Bn | 136.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.30 Mn |
| Mar 31, 2026 | 60.34 Mn |
| Dec 31, 2025 | 49.23 Mn |
| Sep 30, 2025 | 67.64 Mn |
| Jun 30, 2025 | 60.57 Mn |
| Mar 31, 2025 | 51.80 Mn |
| Dec 31, 2024 | 51.61 Mn |
| Sep 30, 2024 | 46.02 Mn |
| Jun 30, 2024 | 47.74 Mn |
| Mar 31, 2024 | 43.20 Mn |
| Dec 31, 2023 | 46.32 Mn |
| Sep 30, 2023 | 54.64 Mn |
| Jun 30, 2023 | 42.76 Mn |
| Mar 31, 2023 | 48.00 Mn |
| Dec 31, 2022 | 58.22 Mn |
| Sep 30, 2022 | 52.84 Mn |
| Jun 30, 2022 | 49.84 Mn |
| Mar 31, 2022 | 56.32 Mn |
| Dec 31, 2021 | 60.84 Mn |
| Sep 30, 2021 | 63.66 Mn |
API Access
Warby Parker Accumulated Expenses 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=accumulated-expenses&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();