Quetta Acquisition (QETA) EBIT (2023 - 2026)
Quetta Acquisition's EBIT came in at -$231,949 for Q2 2026, compared with -$764,199 a year earlier.
Analysis
Quetta Acquisition (QETA) EBIT (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Quetta Acquisition reported EBIT of -$668,072; for FY2025, it came in at -$1.47 million.
- Going back by year, EBIT was -$810,534 in FY2024 and -$121,133 in FY2023.
- The five-year range for quarterly EBIT is -$764,199 (Q2 2025) to -$92,296 (Q4 2025).
- Business Quant data shows QETA's EBIT at -$149,693 (Q1 2026), -$92,296 (Q4 2025) and -$194,134 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 1.14 Bn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 6.46 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 1.41 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 834.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 732.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 3.44 Bn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 534.30 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 2.78 Bn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 2.20 Bn |
| 10 | Quetta Acquisition | 43.44 Mn | 43.42 Mn | - | -231,949.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -231,949.00 |
| Mar 31, 2026 | -149,693.00 |
| Dec 31, 2025 | -92,296.00 |
| Sep 30, 2025 | -194,134.00 |
| Jun 30, 2025 | -764,199.00 |
| Mar 31, 2025 | -417,102.00 |
| Dec 31, 2024 | -344,091.00 |
| Sep 30, 2024 | -145,512.00 |
| Jun 30, 2024 | -197,702.00 |
| Mar 31, 2024 | -123,229.00 |
| Sep 30, 2023 | 3,686.00 |
| Jun 30, 2023 | 3,686.00 |
API Access
Quetta Acquisition EBIT 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=ebit&ticker=QETA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=QETA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();