Copley Acquisition (COPL) Change in Accured Expenses (2025 - 2026)
Copley Acquisition (COPL) posted Change in Accured Expenses of -$252,151 for Q2 2026, compared with -$14,570 a year earlier.
Copley Acquisition (COPL) Change in Accured Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Copley Acquisition was $57,711; for FY2025, it came in at $127,510, up 113.9% from FY2024.
- In prior years, Copley Acquisition's Change in Accured Expenses was $59,610 in FY2024.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $242,481 (Q1 2026), $60,676 (Q4 2025) and $6,705 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 845.00 Mn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | -244.18 Mn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 834.56 Mn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | -10.40 Mn |
| 10 | Copley Acquisition | 251.28 Mn | 251.12 Mn | - | -252,151.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -252,151.00 |
| Mar 31, 2026 | 242,481.00 |
| Dec 31, 2025 | 60,676.00 |
| Sep 30, 2025 | 6,705.00 |
| Jun 30, 2025 | -14,570.00 |
| Mar 31, 2025 | 74,699.00 |
Copley Acquisition Change in Accured 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=change-in-accured-expenses&ticker=COPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "COPL", "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-accured-expenses&ticker=COPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();