Pattern (PTRN) Change in Inventory (2024 - 2026)
Pattern (PTRN) reported Change in Inventory of $18.7 million for Q2 2026, up 31.2% from $14.25 million a year earlier and up 243.7% from the prior quarter.
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Analysis
Pattern (PTRN) Change in Inventory (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pattern's Change in Inventory came in at $60.85 million; for FY2025, it came in at $29.03 million, down 60.3% from FY2024.
- By year, Change in Inventory came in at $73.22 million in FY2024 (+137.0%) and $30.89 million in FY2023.
- Five-year quarterly Change in Inventory spans a low of -$21.93 million in Q1 2025 and a high of $47.89 million in Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.44 million (Q1 2026), $24.25 million (Q4 2025) and $12.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 104.14 Mn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 18.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.70 Mn |
| Mar 31, 2026 | 5.44 Mn |
| Dec 31, 2025 | 24.25 Mn |
| Sep 30, 2025 | 12.47 Mn |
| Jun 30, 2025 | 14.25 Mn |
| Mar 31, 2025 | -21.93 Mn |
| Dec 31, 2024 | 47.89 Mn |
API Access
Pattern Change in Inventory 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=change-in-inventory&ticker=PTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();