Metalpha Technology Holding (MATH) Accumulated Expenses (2017 - 2022)
Metalpha Technology Holding's Accumulated Expenses was $589,659 in the quarter ended Sep 30, 2022, down 100.0% from $589.66 billion a year earlier.
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Analysis
Metalpha Technology Holding (MATH) Accumulated Expenses (2017 - 2022) Analysis & Trends
- Accumulated Expenses shows a five-year compound annual growth rate of 55.3% (years ended Mar 2017 to Mar 2022).
- In earlier years, Accumulated Expenses was $589,659 in the year ended Mar 31, 2021 (-100.0%), $589.66 billion in the year ended Mar 31, 2020, $589,659 in the year ended Mar 31, 2019 (+36.0%) and $433,479 in the year ended Mar 31, 2018 (+563.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | Metalpha Technology Holding | 52.30 Mn | 27.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 589,659.00 |
| Mar 31, 2022 | 589,659.00 |
| Sep 30, 2021 | 589.66 Bn |
| Mar 31, 2021 | 589,659.00 |
| Sep 30, 2020 | 589,659.00 |
| Mar 31, 2020 | 589.66 Bn |
| Sep 30, 2019 | 589,659.00 |
| Mar 31, 2019 | 589,659.00 |
| Sep 30, 2018 | 433,479.00 |
| Mar 31, 2018 | 433,479.00 |
| Sep 30, 2017 | 65,331.00 |
| Mar 31, 2017 | 65,331.00 |
API Access
Metalpha Technology Holding Accumulated 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=accumulated-expenses&ticker=MATH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();