Copley Acquisition (COPL) Operating Expenses (2025 - 2026)
Copley Acquisition's Operating Expenses was $88,500 in Q2 2026, down 56.5% from $203,312 a year earlier and down 66.6% from the prior quarter.
Copley Acquisition (COPL) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Copley Acquisition's Operating Expenses was $555,483 through Jun 30, 2026; for FY2025, it was $479,675, up 597.3% from FY2024.
- In earlier years, Operating Expenses was $68,787 in FY2024.
- Quarterly Operating Expenses has moved between $72,530 (Q3 2025) and $265,319 (Q1 2026) over five years.
- Per Business Quant data, COPL's Operating Expenses in the three quarters before Q2 2026 was $265,319 (Q1 2026), $129,134 (Q4 2025) and $72,530 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - | 149.76 Mn |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - | 5.41 Bn |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Copley Acquisition | 250.57 Mn | 250.40 Mn | - | 88,500.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88,500.00 |
| Mar 31, 2026 | 265,319.00 |
| Dec 31, 2025 | 129,134.00 |
| Sep 30, 2025 | 72,530.00 |
| Jun 30, 2025 | 203,312.00 |
| Mar 31, 2025 | 74,699.00 |
Copley Acquisition Operating 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=operating-expenses&ticker=COPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=COPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();