Pattern (PTRN) Gross Margin (2024 - 2026)
Pattern's Gross Margin came in at 43.84% for Q2 2026, up 0.90 percentage points from 42.94% a year earlier but down 0.13 percentage points from the prior quarter.
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Analysis
Pattern (PTRN) Gross Margin (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pattern reported Gross Margin of 43.89%, up 0.72 percentage points year-over-year; for FY2025, it was 43.59%, up 0.09 percentage points from FY2024.
- Going back by year, Gross Margin was 43.50% in FY2024 (-0.50 pp) and 44.00% in FY2023.
- The five-year range for quarterly Gross Margin is 42.78% (Q4 2024) to 44.32% (Q3 2025).
- Year-over-year, Gross Margin has increased for four consecutive quarters, with an average year-over-year change of +0.73 percentage points over the last four quarters.
- Business Quant data shows PTRN's Gross Margin at 43.97% (Q1 2026), 43.47% (Q4 2025) and 44.32% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,722.03 Bn | 2,238.72 Bn | 104.83 Bn | 52.26% |
| 2 | Home Depot | 322.81 Bn | 316.05 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 162.59 Bn | 140.13 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 113.85 Bn | 106.81 Bn | 8.58 Bn | 33.04% |
| 5 | O Reilly Automotive | 75.04 Bn | 74.13 Bn | 2.52 Bn | 51.45% |
| 6 | Ross Stores | 74.66 Bn | 57.58 Bn | 2.12 Bn | 33.83% |
| 7 | Target | 70.06 Bn | 64.65 Bn | 8.94 Bn | 33.67% |
| 8 | Autozone | 53.20 Bn | 52.10 Bn | 2.52 Bn | 52.15% |
| 9 | Carvana | 42.44 Bn | 32.93 Bn | 1.38 Bn | 18.76% |
| 10 | Pattern | 2.99 Bn | 1.70 Bn | 384.36 Mn | 43.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.84% |
| Mar 31, 2026 | 43.97% |
| Dec 31, 2025 | 43.47% |
| Sep 30, 2025 | 44.32% |
| Jun 30, 2025 | 42.94% |
| Mar 31, 2025 | 43.63% |
| Dec 31, 2024 | 42.78% |
| Sep 30, 2024 | 43.34% |
API Access
Pattern Gross 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=gross-margin&ticker=PTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();