Warby Parker (WRBY) Selling, General & Administrative (2020 - 2026)
Warby Parker (WRBY) reported Selling, General & Administrative of $133.29 million for Q2 2026, up 12.8% from $118.13 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Warby Parker (WRBY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Warby Parker's Selling, General & Administrative came in at $496.93 million, up 6.7% year-over-year; for FY2025, it came in at $475.92 million, up 4.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $456.95 million in FY2024 (+4.5%), $437.22 million in FY2023 (-3.3%), $452.27 million in FY2022 (-2.0%) and $461.41 million in FY2021 (+60.5%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q3 2021.
- Year over year, Selling, General & Administrative has now increased in each of the last seven quarters, with growth averaging 4.6% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 73.8%); the low point was Q3 2022 (a decline of 37.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $129.37 million (Q1 2026), $117.9 million (Q4 2025) and $116.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.46 Bn | 21.66 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Ralph Lauren | 22.70 Bn | 14.80 Bn | 1.44 Bn | 1.08 Bn |
| 3 | Tapestry | 22.58 Bn | 18.54 Bn | 1.56 Bn | 1.12 Bn |
| 4 | Deckers Outdoor | 11.50 Bn | 4.38 Bn | - | - |
| 5 | Lululemon Athletica | 11.17 Bn | 5.42 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.18 Bn | 4.77 Bn | 1.07 Bn | 835.90 Mn |
| 7 | V F | 6.72 Bn | 3.34 Bn | 917.04 Mn | 1.00 Bn |
| 8 | Gildan Activewear | 6.47 Bn | 5.39 Bn | 459.76 Mn | 193.84 Mn |
| 9 | Birkenstock Holding | 6.12 Bn | 4.44 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Warby Parker | 3.22 Bn | 2.07 Bn | 136.46 Mn | 133.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.29 Mn |
| Mar 31, 2026 | 129.37 Mn |
| Dec 31, 2025 | 117.90 Mn |
| Sep 30, 2025 | 116.38 Mn |
| Jun 30, 2025 | 118.13 Mn |
| Mar 31, 2025 | 123.51 Mn |
| Dec 31, 2024 | 112.54 Mn |
| Sep 30, 2024 | 111.48 Mn |
| Jun 30, 2024 | 114.34 Mn |
| Mar 31, 2024 | 118.59 Mn |
| Dec 31, 2023 | 108.64 Mn |
| Sep 30, 2023 | 112.50 Mn |
| Jun 30, 2023 | 108.87 Mn |
| Mar 31, 2023 | 107.22 Mn |
| Dec 31, 2022 | 102.36 Mn |
| Sep 30, 2022 | 108.09 Mn |
| Jun 30, 2022 | 118.43 Mn |
| Mar 31, 2022 | 123.39 Mn |
| Dec 31, 2021 | 122.15 Mn |
| Sep 30, 2021 | 171.64 Mn |
API Access
Warby Parker Selling, General & Administrative 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=selling-general-and-administrative&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();