Warby Parker (WRBY) EPS (Basic) (2020 - 2026)
Warby Parker (WRBY) recorded EPS (Basic) of $0.04 in Q2 2026, compared with -$0.01 a year earlier and up 45.6% from the prior quarter.
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Analysis
Warby Parker (WRBY) EPS (Basic) (2020 - 2026) Analysis & Trends
On a TTM basis, Warby Parker's EPS (Basic) came in at $0.06 as of Jun 30, 2026; for FY2025, it was $0.01.
- Across earlier years, EPS (Basic) came in at -$0.17 in FY2024, -$0.54 in FY2023, -$0.96 in FY2022 and -$2.21 in FY2021.
- Quarterly EPS (Basic) has ranged from -$1.45 in Q3 2021 to $0.05 in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $0.03 (Q1 2026), -$0.05 (Q4 2025) and $0.05 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.72 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.70 |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.36 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 2.92 |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 0.23 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -0.31 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.68 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 4.17 |
| 10 | Warby Parker | 3.04 Bn | 1.89 Bn | 136.46 Mn | 0.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.04 |
| Mar 31, 2026 | 0.03 |
| Dec 31, 2025 | -0.05 |
| Sep 30, 2025 | 0.05 |
| Jun 30, 2025 | -0.01 |
| Mar 31, 2025 | 0.03 |
| Dec 31, 2024 | -0.06 |
| Sep 30, 2024 | -0.03 |
| Jun 30, 2024 | -0.06 |
| Mar 31, 2024 | -0.02 |
| Dec 31, 2023 | -0.16 |
| Sep 30, 2023 | -0.15 |
| Jun 30, 2023 | -0.14 |
| Mar 31, 2023 | -0.09 |
| Dec 31, 2022 | -0.18 |
| Sep 30, 2022 | -0.21 |
| Jun 30, 2022 | -0.28 |
| Mar 31, 2022 | -0.30 |
| Dec 31, 2021 | -0.64 |
| Sep 30, 2021 | -1.45 |
API Access
Warby Parker EPS (Basic) 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=eps-basic&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();