Metalpha Technology Holding (MATH) Debt Ratio (2018 - 2026)
Metalpha Technology Holding's (MATH) Debt Ratio was 0.08 for the quarter ended Mar 31, 2026, up 83.9% from 0.04 a year earlier.
Analysis
Metalpha Technology Holding (MATH) Debt Ratio (2018 - 2026) Analysis & Trends
Dating back to the quarter ended Mar 31, 2018, Metalpha Technology Holding's Debt Ratio record includes 13 quarters.
- By year, Debt Ratio came in at 0.04 in the year ended Mar 31, 2025 (-81.8%), 0.24 in the year ended Mar 31, 2024 (-41.5%), 0.41 in the year ended Mar 31, 2023 (+60.0%) and 0.25 in the year ended Mar 31, 2022 (-1.0%).
- Five-year quarterly Debt Ratio spans a low of 0.03 in the quarter ended Sep 30, 2023 and a high of 0.41 in the quarter ended Dec 31, 2023.
- Year over year, Debt Ratio gained in two of the last four quarters, with growth averaging 120.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 0.01 |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 0.02 |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 0.11 |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 0.32 |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 0.00 |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 0.05 |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 0.14 |
| 10 | Metalpha Technology Holding | 52.30 Mn | 27.49 Mn | - | 0.08 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.08 |
| Sep 30, 2025 | 0.10 |
| Mar 31, 2025 | 0.04 |
| Sep 30, 2024 | 0.17 |
| Mar 31, 2024 | 0.24 |
| Dec 31, 2023 | 0.41 |
| Sep 30, 2023 | 0.03 |
| Mar 31, 2023 | 0.41 |
| Mar 31, 2022 | 0.25 |
| Mar 31, 2021 | 0.26 |
| Mar 31, 2020 | 0.24 |
| Mar 31, 2019 | 0.24 |
| Mar 31, 2018 | 0.38 |
API Access
Metalpha Technology Holding 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=MATH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "MATH", "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=MATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();