AtlasClear Holdings (ATCH) Debt Ratio (2023 - 2026)
AtlasClear Holdings' (ATCH) Debt Ratio was 0.16 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 47.7% from 0.31 a year earlier and down 1.6% from the prior quarter.
AtlasClear Holdings (ATCH) Debt Ratio (2023 - 2026) Analysis & Trends
Dating back to fiscal Q4 2024, AtlasClear Holdings' Debt Ratio record includes 7 quarters.
- By fiscal year, Debt Ratio came in at 0.31 in FY2025, 0.17 in FY2024 and 0.01 in FY2023.
- Five-year quarterly Debt Ratio spans a low of 0.10 in fiscal Q1 2026 and a high of 0.31 in fiscal Q4 2025.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 0.17 (Q3 2026), 0.16 (Q2 2026) and 0.10 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 0.02 |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 0.11 |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 0.32 |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 0.00 |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 0.14 |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 0.38 |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | - |
| 10 | AtlasClear Holdings | 20.62 Mn | 20.62 Mn | - | 0.16 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.16 |
| Mar 31, 2026 | 0.17 |
| Dec 31, 2025 | 0.16 |
| Sep 30, 2025 | 0.10 |
| Jun 30, 2025 | 0.31 |
| Mar 31, 2025 | 0.16 |
| Dec 31, 2024 | 0.17 |
| Sep 30, 2024 | 0.14 |
| Jun 30, 2024 | 0.23 |
| Mar 31, 2024 | 0.18 |
| Dec 31, 2023 | 0.01 |
| Jun 30, 2023 | 0.01 |
AtlasClear Holdings Debt Ratio 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=debt-ratio&ticker=ATCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "ATCH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=ATCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();