Pattern (PTRN) Other Operating Expenses (2024 - 2026)
Pattern's Other Operating Expenses was $663.21 million in Q2 2026, up 44.8% from $457.87 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Pattern (PTRN) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pattern's Other Operating Expenses was $2.28 billion through Jun 30, 2026, up 43.9% year-over-year; for FY2025, it came in at $1.91 billion, up 41.0% from FY2024.
- In earlier years, Other Operating Expenses was $1.35 billion in FY2024 (+32.2%) and $1.02 billion in FY2023.
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q3 2024.
- Compared with a year earlier, Other Operating Expenses has increased for four straight quarters, with growth averaging 44.1% over the last four quarters.
- Per Business Quant data, PTRN's Other Operating Expenses in the three quarters before Q2 2026 was $577.22 million (Q1 2026), $546.09 million (Q4 2025) and $497.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Pattern | 2.62 Bn | 1.33 Bn | 384.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.21 Mn |
| Mar 31, 2026 | 577.22 Mn |
| Dec 31, 2025 | 546.09 Mn |
| Sep 30, 2025 | 497.31 Mn |
| Jun 30, 2025 | 457.87 Mn |
| Mar 31, 2025 | 405.28 Mn |
| Dec 31, 2024 | 392.21 Mn |
| Sep 30, 2024 | 331.55 Mn |
API Access
Pattern Other Operating Expenses 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=other-operating-expenses&ticker=PTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();