Pattern (PTRN) Total Non-Current Liabilities (2024 - 2026)
Pattern (PTRN) recorded Total Non-Current Liabilities of $421.03 million in Q2 2026, up 19.8% from the prior quarter.
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Analysis
Pattern (PTRN) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Pattern reported Total Non-Current Liabilities of $360.55 million, down 34.5% from FY2024.
- Across earlier years, Total Non-Current Liabilities came in at $550.4 million in FY2024.
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q4 2024.
- Per Business Quant, the preceding three quarters came in at $351.55 million (Q1 2026), $360.55 million (Q4 2025) and $300.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 421.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 421.03 Mn |
| Mar 31, 2026 | 351.55 Mn |
| Dec 31, 2025 | 360.55 Mn |
| Sep 30, 2025 | 300.39 Mn |
| Dec 31, 2024 | 550.40 Mn |
API Access
Pattern Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();