Warby Parker (WRBY) Net Cash Flow (2020 - 2026)
Warby Parker (WRBY) posted Net Cash Flow of $4.45 million for Q2 2026, down 78.9% from $21.14 million a year earlier but up 101.3% from the prior quarter.
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Analysis
Warby Parker (WRBY) Net Cash Flow (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Cash Flow at Warby Parker was $6.36 million, down 86.9% year-over-year; for FY2025, it was $31.74 million, down 15.7% from FY2024.
- Annual Net Cash Flow shows a five-year compound annual growth rate of -34.3% (FY2020 to FY2025).
- In prior years, Warby Parker's Net Cash Flow was $37.67 million in FY2024 (+309.9%), $9.19 million in FY2023, -$46.52 million in FY2022 and -$57.51 million in FY2021.
- Quarterly Net Cash Flow has run from a low of -$26.18 million in Q1 2022 to a high of $21.14 million in Q2 2025 over five years.
- On a year-over-year basis, Net Cash Flow increased in five of the last seven quarters, with growth averaging 101.8%.
- The strongest year-over-year quarter for Net Cash Flow in the past five years was Q4 2024, with growth of 313.1%; the weakest was Q4 2023, with a decline of 92.4%.
- According to Business Quant data, Net Cash Flow for the three prior quarters was $2.21 million (Q1 2026), $5.82 million (Q4 2025) and -$6.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | -675.00 Mn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | -61.30 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | -251.80 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | -101.81 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | -204.90 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -147.72 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 28.54 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 571.24 Mn |
| 10 | Warby Parker | 3.16 Bn | 2.01 Bn | 136.46 Mn | 4.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.45 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 5.82 Mn |
| Sep 30, 2025 | -6.12 Mn |
| Jun 30, 2025 | 21.14 Mn |
| Mar 31, 2025 | 10.90 Mn |
| Dec 31, 2024 | 3.40 Mn |
| Sep 30, 2024 | 13.11 Mn |
| Jun 30, 2024 | 17.59 Mn |
| Mar 31, 2024 | 3.58 Mn |
| Dec 31, 2023 | 822,000.00 |
| Sep 30, 2023 | 3.62 Mn |
| Jun 30, 2023 | 8.41 Mn |
| Mar 31, 2023 | -3.66 Mn |
| Dec 31, 2022 | 10.82 Mn |
| Sep 30, 2022 | -12.83 Mn |
| Jun 30, 2022 | -18.34 Mn |
| Mar 31, 2022 | -26.18 Mn |
| Dec 31, 2021 | -9.78 Mn |
| Sep 30, 2021 | 5.82 Mn |
API Access
Warby Parker Net Cash Flow 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=net-cash-flow&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();