Pattern (PTRN) Revenue (2024 - 2026)
Pattern (PTRN) posted Revenue of $876.77 million for Q2 2026, up 46.6% from $598.15 million a year earlier and up 13.3% from the prior quarter.
Pattern (PTRN) Revenue (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Pattern was $3.01 billion, up 43.9% year-over-year; for FY2025, it came in at $2.5 billion, up 39.3% from FY2024.
- In prior years, Pattern's Revenue was $1.8 billion in FY2024 (+31.5%) and $1.37 billion in FY2023.
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q3 2024.
- On a year-over-year basis, Revenue has increased in each of the last four quarters, with growth averaging 43.9% over the last four quarters.
- According to Business Quant data, Revenue for the three prior quarters was $773.73 million (Q1 2026), $723.1 million (Q4 2025) and $639.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 876.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 876.77 Mn |
| Mar 31, 2026 | 773.73 Mn |
| Dec 31, 2025 | 723.10 Mn |
| Sep 30, 2025 | 639.66 Mn |
| Jun 30, 2025 | 598.15 Mn |
| Mar 31, 2025 | 540.41 Mn |
| Dec 31, 2024 | 515.47 Mn |
| Sep 30, 2024 | 439.40 Mn |
Pattern Revenue 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=revenue&ticker=PTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();