1RT Acquisition (ONCH) Change in Accrued Expenses (2025 - 2026)
1RT Acquisition's Change in Accrued Expenses came in at -$56,152 for Q2 2026, compared with -$2,800 a year earlier.
1RT Acquisition (ONCH) Change in Accrued Expenses (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, 1RT Acquisition reported Change in Accrued Expenses of $8,321; for FY2025, it came in at $65,244.
- The five-year range for quarterly Change in Accrued Expenses is -$139,034 (Q4 2025) to $181,078 (Q3 2025).
- Business Quant data shows ONCH's Change in Accrued Expenses at $22,429 (Q1 2026), -$139,034 (Q4 2025) and $181,078 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 306.80 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 3.00 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 99.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 49.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 79.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | -12.60 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 1.17 Bn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 37.50 Mn |
| 10 | 1RT Acquisition | 223.82 Mn | 222.47 Mn | - | -56,152.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -56,152.00 |
| Mar 31, 2026 | 22,429.00 |
| Dec 31, 2025 | -139,034.00 |
| Sep 30, 2025 | 181,078.00 |
| Jun 30, 2025 | -2,800.00 |
| Mar 31, 2025 | 26,000.00 |
1RT Acquisition Change in Accrued 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=change-in-accured-expenses&ticker=ONCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ONCH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=ONCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();