Titan Acquisition (TACH) Operating Expenses (2024 - 2026)
Titan Acquisition (TACH) reported Operating Expenses of $481,615 for Q2 2026, compared with -$53,422 a year earlier.
Titan Acquisition (TACH) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Titan Acquisition's Operating Expenses came in at $1.42 million, up 815.0% year-over-year; for FY2025, it came in at $1.01 million, up 300.2% from FY2024.
- By year, Operating Expenses came in at $253,240 in FY2024.
- Five-year quarterly Operating Expenses spans a low of -$53,422 in Q2 2025 and a high of $835,531 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 595.90 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 3.49 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 1.36 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 739.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 749.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 2.62 Bn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 249.40 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 418.00 Mn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 1.49 Bn |
| 10 | Titan Acquisition | 365.01 Mn | 653.35 Mn | - | 481,615.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 481,615.00 |
| Mar 31, 2026 | 676,713.00 |
| Dec 31, 2025 | 835,531.00 |
| Sep 30, 2025 | 153,075.00 |
| Jun 30, 2025 | -53,422.00 |
| Mar 31, 2025 | 78,292.00 |
| Dec 31, 2024 | 85,040.00 |
| Sep 30, 2024 | 44,934.00 |
| Jun 30, 2024 | 45,049.00 |
| Mar 31, 2024 | 78,217.00 |
Titan 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=TACH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TACH", "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=TACH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();