Newbridge Acquisition (NBRG) Operating Expenses (2024 - 2026)
Newbridge Acquisition's Operating Expenses was $189,638 in Q2 2026, up 416.0% from $36,748 a year earlier but down 9.9% from the prior quarter.
Newbridge Acquisition (NBRG) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Newbridge Acquisition's Operating Expenses was $532,626 through Jun 30, 2026; for FY2025, it was $221,014, up 56.8% from FY2024.
- In earlier years, Operating Expenses was $140,962 in FY2024.
- Quarterly Operating Expenses has moved between $36,748 (Q2 2025) and $210,579 (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters.
- Per Business Quant data, NBRG's Operating Expenses in the three quarters before Q2 2026 was $210,579 (Q1 2026), $68,536 (Q4 2025) and $63,873 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Newbridge Acquisition | 151.83 Mn | 146.46 Mn | - | 189,638.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189,638.00 |
| Mar 31, 2026 | 210,579.00 |
| Dec 31, 2025 | 68,536.00 |
| Sep 30, 2025 | 63,873.00 |
| Jun 30, 2025 | 36,748.00 |
| Mar 31, 2025 | 51,857.00 |
| Dec 31, 2024 | 67,237.00 |
Newbridge 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=NBRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NBRG", "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=NBRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();