Pattern (PTRN) Exchange Rate Effect (2024 - 2026)
Pattern (PTRN) reported Exchange Rate Effect of $127,000 for Q2 2026, compared with -$222,000 a year earlier and up 14.4% from the prior quarter.
Pattern (PTRN) Exchange Rate Effect (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pattern's Exchange Rate Effect came in at $554,000; for FY2025, it came in at $87,000, down 93.7% from FY2024.
- By year, Exchange Rate Effect came in at $1.37 million in FY2024 (+27.6%) and $1.08 million in FY2023.
- Five-year quarterly Exchange Rate Effect spans a low of -$269,000 in Q4 2024 and a high of $214,000 in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $111,000 (Q1 2026), $214,000 (Q4 2025) and $102,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 680,000.00 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | -503,000.00 |
| 10 | Pattern | 2.61 Bn | 1.31 Bn | 384.36 Mn | 127,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127,000.00 |
| Mar 31, 2026 | 111,000.00 |
| Dec 31, 2025 | 214,000.00 |
| Sep 30, 2025 | 102,000.00 |
| Jun 30, 2025 | -222,000.00 |
| Mar 31, 2025 | -7,000.00 |
| Dec 31, 2024 | -269,000.00 |
Pattern Exchange Rate Effect 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=exchange-rate-effect&ticker=PTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();