Pattern (PTRN) Net Cash Flow (2024 - 2026)
Pattern (PTRN) recorded Net Cash Flow of $1.48 million in Q2 2026, compared with -$3.31 million a year earlier and down 97.3% from the prior quarter.
Pattern (PTRN) Net Cash Flow (2024 - 2026) Analysis & Trends
On a TTM basis, Pattern's Net Cash Flow came in at $130.02 million as of Jun 30, 2026; for FY2025, it was $113.35 million, up 141.1% from FY2024.
- Across earlier years, Net Cash Flow came in at $47.01 million in FY2024 (+74.2%) and $26.98 million in FY2023.
- Quarterly Net Cash Flow has ranged from -$23.97 million in Q4 2025 to $97.45 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $55.06 million (Q1 2026), -$23.97 million (Q4 2025) and $97.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | -23.71 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 500.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 450.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 2.39 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 157.76 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 8.87 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 231.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | -31.26 Mn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 1.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.48 Mn |
| Mar 31, 2026 | 55.06 Mn |
| Dec 31, 2025 | -23.97 Mn |
| Sep 30, 2025 | 97.45 Mn |
| Jun 30, 2025 | -3.31 Mn |
| Mar 31, 2025 | 43.17 Mn |
| Dec 31, 2024 | -7.83 Mn |
Pattern 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=PTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "PTRN", "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=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();