Quetta Acquisition (QETA) Other Operating Expenses (2024 - 2026)
Quetta Acquisition's Other Operating Expenses was $191,749 in Q2 2026, down 73.5% from $723,999 a year earlier but up 74.8% from the prior quarter.
Quetta Acquisition (QETA) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quetta Acquisition's Other Operating Expenses was $507,272 through Jun 30, 2026, down 65.4% year-over-year; for FY2025, it was $1.31 million, up 109.7% from FY2024.
- In earlier years, Other Operating Expenses was $623,356 in FY2024 and $49,335 in FY2023.
- Quarterly Other Operating Expenses has moved between $47,029 (Q1 2024) and $723,999 (Q2 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has declined for three straight quarters, with growth averaging 181.6% over the last six quarters.
- Per Business Quant data, QETA's Other Operating Expenses in the three quarters before Q2 2026 was $109,693 (Q1 2026), $61,576 (Q4 2025) and $144,254 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | Quetta Acquisition | 43.44 Mn | 43.42 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161,749.00 |
| Mar 31, 2026 | 79,693.00 |
| Dec 31, 2025 | 31,576.00 |
| Sep 30, 2025 | 114,254.00 |
| Jun 30, 2025 | 693,999.00 |
| Mar 31, 2025 | 347,102.00 |
| Dec 31, 2024 | 267,090.00 |
| Sep 30, 2024 | 69,012.00 |
| Jun 30, 2024 | 120,225.00 |
| Mar 31, 2024 | 47,029.00 |
Quetta Acquisition Other 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=other-operating-expenses&ticker=QETA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "QETA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=QETA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();