Warby Parker (WRBY) Other Accumulated Expenses (2020 - 2026)
Warby Parker (WRBY) posted Other Accumulated Expenses of $2.8 million for Q2 2026, up 1.0% from $2.77 million a year earlier but down 4.7% from the prior quarter.
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Analysis
Warby Parker (WRBY) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Warby Parker's Other Accumulated Expenses came in at $3.66 million, up 38.9% from FY2024.
- Annual Other Accumulated Expenses has increased for three consecutive years, though with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, Warby Parker's Other Accumulated Expenses was $2.63 million in FY2024 (+9.2%), $2.41 million in FY2023 (+1.7%), $2.37 million in FY2022 (-44.9%) and $4.3 million in FY2021 (+15.6%).
- Quarterly Other Accumulated Expenses has run from a low of $1.92 million in Q3 2022 to a high of $4.3 million in Q4 2021 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last five quarters, with growth averaging 14.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2025, with growth of 38.9%; the weakest was Q3 2022, with a decline of 55.3%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $2.94 million (Q1 2026), $3.66 million (Q4 2025) and $2.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.41 Bn | 21.61 Bn | 4.80 Bn |
| 2 | Ralph Lauren | 22.71 Bn | 14.81 Bn | 1.44 Bn |
| 3 | Tapestry | 22.52 Bn | 18.48 Bn | 1.56 Bn |
| 4 | Deckers Outdoor | 11.67 Bn | 4.54 Bn | - |
| 5 | Lululemon Athletica | 11.17 Bn | 5.42 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.19 Bn | 4.77 Bn | 1.07 Bn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.08 Bn | 4.40 Bn | 493.89 Mn |
| 10 | Warby Parker | 3.21 Bn | 2.07 Bn | 136.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 Mn |
| Mar 31, 2026 | 2.94 Mn |
| Dec 31, 2025 | 3.66 Mn |
| Sep 30, 2025 | 2.90 Mn |
| Jun 30, 2025 | 2.77 Mn |
| Mar 31, 2025 | 2.88 Mn |
| Dec 31, 2024 | 2.63 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 2.94 Mn |
| Dec 31, 2023 | 2.41 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 2.35 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Dec 31, 2022 | 2.37 Mn |
| Sep 30, 2022 | 1.92 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 4.30 Mn |
| Sep 30, 2021 | 4.30 Mn |
API Access
Warby Parker Other 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=other-accumulated-expenses&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();