GP-Act III Acquisition (GPAT) Operating Expenses (2023 - 2026)
GP-Act III Acquisition (GPAT) posted Operating Expenses of $1.47 million for Q2 2026, up 938.6% from $141,334 a year earlier.
GP-Act III Acquisition (GPAT) Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at GP-Act III Acquisition was $1.82 million, up 171.9% year-over-year; for FY2025, it came in at $551,918, down 2.3% from FY2024.
- In prior years, GP-Act III Acquisition's Operating Expenses was $564,973 in FY2024 and $14,041 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2023.
- On a year-over-year basis, Operating Expenses increased in two of the last five quarters, with growth averaging 217.4%.
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 | GP-Act III Acquisition | 251.93 Mn | 251.93 Mn | - | 1.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Mn |
| Dec 31, 2025 | 84,204.00 |
| Sep 30, 2025 | 126,328.00 |
| Jun 30, 2025 | 141,334.00 |
| Mar 31, 2025 | 200,052.00 |
| Dec 31, 2024 | 184,359.00 |
| Sep 30, 2024 | 143,462.00 |
| Jun 30, 2024 | 177,414.00 |
| Mar 31, 2024 | 59,738.00 |
| Dec 31, 2023 | 12,108.00 |
| Sep 30, 2023 | 616.00 |
| Jun 30, 2023 | 617.00 |
| Mar 31, 2023 | 700.00 |
GP-Act III 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=GPAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GPAT", "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=GPAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();