Pattern (PTRN) Depreciation & Amortization (CF) (2024 - 2026)
Pattern's Depreciation & Amortization (CF) came in at $5.81 million for Q2 2026, up 37.1% from $4.24 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Pattern (PTRN) Depreciation & Amortization (CF) (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pattern reported Depreciation & Amortization (CF) of $19.75 million; for FY2025, it was $16.8 million, up 13.4% from FY2024.
- Going back by year, Depreciation & Amortization (CF) was $14.81 million in FY2024 (+22.4%) and $12.1 million in FY2023.
- Year-over-year, Depreciation & Amortization (CF) has increased for three consecutive quarters.
- Business Quant data shows PTRN's Depreciation & Amortization (CF) at $5.42 million (Q1 2026), $4.25 million (Q4 2025) and $4.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 19.99 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 140.19 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 784.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 138.28 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 69.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 160.29 Mn |
| 10 | Pattern | 2.67 Bn | 1.37 Bn | 384.36 Mn | 5.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.81 Mn |
| Mar 31, 2026 | 5.42 Mn |
| Dec 31, 2025 | 4.25 Mn |
| Sep 30, 2025 | 4.26 Mn |
| Jun 30, 2025 | 4.24 Mn |
| Mar 31, 2025 | 4.05 Mn |
| Dec 31, 2024 | 3.95 Mn |
API Access
Pattern Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();