Pattern (PTRN) Shares Outstanding (2024 - 2026)
Pattern's Shares Outstanding came in at 176.92 million for Q2 2026, up 95.3% from 90.59 million a year earlier and unchanged from the prior quarter.
Analysis
Pattern (PTRN) Shares Outstanding (2024 - 2026) Analysis & Trends
For FY2025, Pattern's Shares Outstanding was 115 million, up 26.7% from FY2024.
- Going back by year, Shares Outstanding was 90.77 million in FY2024 (unchanged) and 90.77 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q3 2024.
- Year-over-year, Shares Outstanding has increased for four consecutive quarters, with growth averaging 57.3% over the last four quarters.
- Business Quant data shows PTRN's Shares Outstanding at 176.84 million (Q1 2026), 115 million (Q4 2025) and 101.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 176.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.92 Mn |
| Mar 31, 2026 | 176.84 Mn |
| Dec 31, 2025 | 115.00 Mn |
| Sep 30, 2025 | 101.75 Mn |
| Jun 30, 2025 | 90.59 Mn |
| Mar 31, 2025 | 90.59 Mn |
| Dec 31, 2024 | 90.77 Mn |
| Sep 30, 2024 | 90.77 Mn |
API Access
Pattern Shares Outstanding 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=shares-outstanding&ticker=PTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();