Quetta Acquisition (QETA) Assets (2023 - 2026)
Quetta Acquisition (QETA) recorded Assets of $19.98 million in Q2 2026, up 5.0% from $19.04 million a year earlier and up 2.1% from the prior quarter.
Quetta Acquisition (QETA) Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Quetta Acquisition reported Assets of $19.26 million, down 74.2% from FY2024.
- Across earlier years, Assets came in at $74.69 million in FY2024 (+4.9%) and $71.22 million in FY2023.
- The Q2 2026 figure is the highest quarterly Assets since Q4 2024.
- On a year-over-year basis, Assets rose in three of the last seven quarters, with an average decline of 40.3%.
- Per Business Quant, the preceding three quarters came in at $19.56 million (Q1 2026), $19.26 million (Q4 2025) and $19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 56.55 Bn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 525.02 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 194.68 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 174.25 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 27.34 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 418.38 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 247.31 Bn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 179.30 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 10.61 Bn |
| 10 | Quetta Acquisition | 44.26 Mn | 44.26 Mn | - | 19.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.98 Mn |
| Mar 31, 2026 | 19.56 Mn |
| Dec 31, 2025 | 19.26 Mn |
| Sep 30, 2025 | 19.00 Mn |
| Jun 30, 2025 | 19.04 Mn |
| Mar 31, 2025 | 18.71 Mn |
| Dec 31, 2024 | 74.69 Mn |
| Sep 30, 2024 | 73.68 Mn |
| Jun 30, 2024 | 72.80 Mn |
| Mar 31, 2024 | 72.08 Mn |
| Dec 31, 2023 | 71.22 Mn |
Quetta Acquisition Assets 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=assets&ticker=QETA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=QETA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();