Oxley Bridge Acquisition (OBA) Operating Expenses (2025 - 2026)
Oxley Bridge Acquisition (OBA) recorded Operating Expenses of $112,614 in Q2 2026, up 23.4% from $91,286 a year earlier but down 9.7% from the prior quarter.
Oxley Bridge Acquisition (OBA) Operating Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Oxley Bridge Acquisition's Operating Expenses came in at $519,563 as of Jun 30, 2026; for FY2025, it was $386,420, up 691.3% from FY2024.
- Across earlier years, Operating Expenses came in at $48,833 in FY2024.
- Quarterly Operating Expenses has ranged from $12,962 in Q1 2025 to $181,574 in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $124,777 (Q1 2026), $100,598 (Q4 2025) and $181,574 (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 | Oxley Bridge Acquisition | 588.60 Mn | 588.60 Mn | - | 112,614.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112,614.00 |
| Mar 31, 2026 | 124,777.00 |
| Dec 31, 2025 | 100,598.00 |
| Sep 30, 2025 | 181,574.00 |
| Jun 30, 2025 | 91,286.00 |
| Mar 31, 2025 | 12,962.00 |
Oxley Bridge 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=OBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OBA", "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=OBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();