Pattern (PTRN) Cost of Revenue (2024 - 2026)
Pattern (PTRN) posted Cost of Revenue of $492.41 million for Q2 2026, up 44.3% from $341.33 million a year earlier and up 13.6% from the prior quarter.
Pattern (PTRN) Cost of Revenue (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Pattern was $1.69 billion, up 42.1% year-over-year; for FY2025, it was $1.41 billion, up 39.0% from FY2024.
- In prior years, Pattern's Cost of Revenue was $1.01 billion in FY2024 (+32.6%) and $765.2 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q3 2024.
- On a year-over-year basis, Cost of Revenue has increased in each of the last four quarters, with growth averaging 42.1% over the last four quarters.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $433.49 million (Q1 2026), $408.8 million (Q4 2025) and $356.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 17.60 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 2.38 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 5.99 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 492.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 492.41 Mn |
| Mar 31, 2026 | 433.49 Mn |
| Dec 31, 2025 | 408.80 Mn |
| Sep 30, 2025 | 356.13 Mn |
| Jun 30, 2025 | 341.33 Mn |
| Mar 31, 2025 | 304.60 Mn |
| Dec 31, 2024 | 294.97 Mn |
| Sep 30, 2024 | 248.96 Mn |
Pattern Cost of 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=cost-of-revenue&ticker=PTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();