Warby Parker (WRBY) Cash from Operations (2020 - 2026)
Warby Parker (WRBY) posted Cash from Operations of $29.62 million for Q2 2026, down 26.3% from $40.2 million a year earlier but up 20.8% from the prior quarter.
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Analysis
Warby Parker (WRBY) Cash from Operations (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Warby Parker was $95.36 million, down 18.3% year-over-year; for FY2025, it was $110.79 million, up 12.2% from FY2024.
- Annual Cash from Operations has increased for three consecutive years, with a five-year compound annual growth rate of 27.6% (FY2020 to FY2025).
- In prior years, Warby Parker's Cash from Operations was $98.74 million in FY2024 (+61.9%), $60.99 million in FY2023 (+488.1%), $10.37 million in FY2022 and -$31.99 million in FY2021.
- Quarterly Cash from Operations has run from a low of -$31.86 million in Q4 2021 to a high of $40.2 million in Q2 2025 over five years.
- On a year-over-year basis, Cash from Operations increased in five of the last eight quarters, with growth averaging 12.1%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q1 2024, with growth of 130.6%; the weakest was Q3 2022, with a decline of 76.7%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $24.51 million (Q1 2026), $23.25 million (Q4 2025) and $17.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 135.00 Mn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 102.90 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -62.50 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 347.44 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 286.47 Mn |
| 10 | Warby Parker | 3.16 Bn | 2.01 Bn | 136.46 Mn | 29.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.62 Mn |
| Mar 31, 2026 | 24.51 Mn |
| Dec 31, 2025 | 23.25 Mn |
| Sep 30, 2025 | 17.97 Mn |
| Jun 30, 2025 | 40.20 Mn |
| Mar 31, 2025 | 29.36 Mn |
| Dec 31, 2024 | 19.91 Mn |
| Sep 30, 2024 | 27.28 Mn |
| Jun 30, 2024 | 31.62 Mn |
| Mar 31, 2024 | 19.93 Mn |
| Dec 31, 2023 | 13.67 Mn |
| Sep 30, 2023 | 19.93 Mn |
| Jun 30, 2023 | 18.75 Mn |
| Mar 31, 2023 | 8.64 Mn |
| Dec 31, 2022 | 23.84 Mn |
| Sep 30, 2022 | 1.16 Mn |
| Jun 30, 2022 | -4.33 Mn |
| Mar 31, 2022 | -10.30 Mn |
| Dec 31, 2021 | -31.86 Mn |
| Sep 30, 2021 | 4.96 Mn |
API Access
Warby Parker Cash from Operations 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=cash-from-operations&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();