T-REX Acquisition (TRXA) Operating Expenses (2014 - 2025)
T-REX Acquisition (TRXA) reported Operating Expenses of $649,756 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 102.9% from $320,188 a year earlier and up 17.5% from the prior quarter.
T-REX Acquisition (TRXA) Operating Expenses (2014 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, T-REX Acquisition's Operating Expenses came in at $2.61 million, up 147.7% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $2.03 million, up 106.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 88.7% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $981,379 in FY2024 (-25.7%), $1.32 million in FY2023 (+3.8%), $1.27 million in FY2022 (+171.9%) and $467,943 in FY2021 (+451.3%).
- Five-year quarterly Operating Expenses spans a low of $43,901 in fiscal Q3 2021 and a high of $1.03 million in fiscal Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 96.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 505.5%); the low point was fiscal Q2 2023 (a decline of 81.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $552,788 (Q1 2026), $1.03 million (Q4 2025) and $375,255 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.12 Bn | 6.93 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.45 Bn | 4.68 Bn | - | 7.26 Bn |
| 3 | Block | 44.49 Bn | 15.75 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.49 Bn | 19.08 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 25.78 Bn | 15.98 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.12 Bn | 20.82 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.15 Bn | 588.57 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.50 Bn | 12.88 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.68 Bn | 8.25 Bn | 269.68 Mn | 207.36 Mn |
| 10 | T-REX Acquisition | 10.93 Mn | 10.88 Mn | -44,110.00 | 649,756.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 649,756.00 |
| Sep 30, 2025 | 552,788.00 |
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 375,255.00 |
| Dec 31, 2024 | 320,188.00 |
| Sep 30, 2024 | 300,561.00 |
| Jun 30, 2024 | 197,618.00 |
| Mar 31, 2024 | 235,762.00 |
| Dec 31, 2023 | 215,282.00 |
| Sep 30, 2023 | 334,611.00 |
| Jun 30, 2023 | 115,891.00 |
| Mar 31, 2023 | 243,668.00 |
| Dec 31, 2022 | 154,620.00 |
| Sep 30, 2022 | 806,243.00 |
| Jun 30, 2022 | 278,672.00 |
| Mar 31, 2022 | 79,963.00 |
| Dec 31, 2021 | 840,805.00 |
| Sep 30, 2021 | 73,057.00 |
| Jun 30, 2021 | 46,026.00 |
| Mar 31, 2021 | 43,901.00 |
T-REX 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=TRXA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TRXA", "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=TRXA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();