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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Titan Acquisition | 653.91 Mn | 941.80 Mn | - | 481,615.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 481,615.00 |
| 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 |
API Access
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_KEYimport 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();