Pattern (PTRN) EBITDA (2024 - 2026)
Pattern (PTRN) posted EBITDA of $41.35 million for Q2 2026, up 20.3% from $34.37 million a year earlier but down 8.1% from the prior quarter.
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Analysis
Pattern (PTRN) EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Pattern was $60.72 million; for FY2025, it was $42.21 million, down 58.6% from FY2024.
- In prior years, Pattern's EBITDA was $101.99 million in FY2024 (+57.2%) and $64.89 million in FY2023.
- Quarterly EBITDA has run from a low of -$55.92 million in Q3 2025 to a high of $44.99 million in Q1 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters.
- According to Business Quant data, EBITDA for the three prior quarters was $44.99 million (Q1 2026), $30.3 million (Q4 2025) and -$55.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 41.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.35 Mn |
| Mar 31, 2026 | 44.99 Mn |
| Dec 31, 2025 | 30.30 Mn |
| Sep 30, 2025 | -55.92 Mn |
| Jun 30, 2025 | 34.37 Mn |
| Mar 31, 2025 | 33.45 Mn |
| Dec 31, 2024 | 27.07 Mn |
API Access
Pattern EBITDA 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&ticker=PTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();