Warby Parker (WRBY) Cost of Revenue (2020 - 2026)
Warby Parker (WRBY) reported Cost of Revenue of $99.05 million for Q2 2026, down 1.8% from $100.87 million a year earlier and down 11.1% from the prior quarter.
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Analysis
Warby Parker (WRBY) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Warby Parker's Cost of Revenue came in at $413.12 million, up 10.5% year-over-year; for FY2025, it came in at $401.33 million, up 16.5% from FY2024.
- Cost of Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $344.48 million in FY2024 (+13.1%), $304.54 million in FY2023 (+18.5%), $257.05 million in FY2022 (+15.2%) and $223.05 million in FY2021 (+37.9%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue since Q1 2025.
- Year over year, Cost of Revenue gained in seven of the last eight quarters, with growth averaging 13.6%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2021 (growth of 43.9%); the low point was Q2 2026 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $111.41 million (Q1 2026), $100.93 million (Q4 2025) and $101.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | 515.60 Mn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | 313.00 Mn |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 543.90 Mn |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | 1.12 Bn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | 752.34 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | 342.46 Mn |
| 10 | Warby Parker | 3.19 Bn | 2.05 Bn | 136.46 Mn | 99.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.05 Mn |
| Mar 31, 2026 | 111.41 Mn |
| Dec 31, 2025 | 100.93 Mn |
| Sep 30, 2025 | 101.74 Mn |
| Jun 30, 2025 | 100.87 Mn |
| Mar 31, 2025 | 97.80 Mn |
| Dec 31, 2024 | 87.52 Mn |
| Sep 30, 2024 | 87.58 Mn |
| Jun 30, 2024 | 82.84 Mn |
| Mar 31, 2024 | 86.54 Mn |
| Dec 31, 2023 | 74.79 Mn |
| Sep 30, 2023 | 77.12 Mn |
| Jun 30, 2023 | 75.46 Mn |
| Mar 31, 2023 | 77.18 Mn |
| Dec 31, 2022 | 65.84 Mn |
| Sep 30, 2022 | 64.36 Mn |
| Jun 30, 2022 | 63.28 Mn |
| Mar 31, 2022 | 63.57 Mn |
| Dec 31, 2021 | 56.64 Mn |
| Sep 30, 2021 | 57.71 Mn |
API Access
Warby Parker Cost of Revenue 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=cost-of-revenue&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();