Pattern (PTRN) EBITDA Margin (2024 - 2026)
Pattern's EBITDA Margin came in at 4.72% for Q2 2026, down 1.03 percentage points from 5.75% a year earlier and down 1.10 percentage points from the prior quarter.
Pattern (PTRN) EBITDA Margin (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pattern reported EBITDA Margin of 2.02%; for FY2025, it was 1.69%, down 3.99 percentage points from FY2024.
- Going back by year, EBITDA Margin was 5.68% in FY2024 (+0.93 pp) and 4.75% in FY2023.
- The five-year range for quarterly EBITDA Margin is -8.74% (Q3 2025) to 6.19% (Q1 2025).
- Year-over-year, EBITDA Margin has declined for three consecutive quarters.
- Business Quant data shows PTRN's EBITDA Margin at 5.81% (Q1 2026), 4.19% (Q4 2025) and -8.74% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 19.85% |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 12.60% |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 22.98% |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 10.15% |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.39% |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 4.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.72% |
| Mar 31, 2026 | 5.81% |
| Dec 31, 2025 | 4.19% |
| Sep 30, 2025 | -8.74% |
| Jun 30, 2025 | 5.75% |
| Mar 31, 2025 | 6.19% |
| Dec 31, 2024 | 5.25% |
Pattern EBITDA Margin 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=ebitda-margin&ticker=PTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();