Metalpha Technology Holding (MATH) Receivables (2017 - 2023)
Metalpha Technology Holding (MATH) recorded Receivables of $256,019 in the quarter ended Mar 31, 2023, down 62.0% from $673,365 a year earlier.
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Analysis
Metalpha Technology Holding (MATH) Receivables (2017 - 2023) Analysis & Trends
Starting with the quarter ended Mar 31, 2017, Metalpha Technology Holding's Receivables history includes 8 quarters.
- Annual Receivables has a five-year compound annual growth rate of -38.2% (years ended Mar 2018 to Mar 2023).
- Across earlier years, Receivables came in at $673,365 in the year ended Mar 31, 2022 and $2.35 million in the year ended Mar 31, 2019 (-17.4%).
- The figure for the quarter ended Mar 31, 2023 is the lowest quarterly Receivables in data going back to the quarter ended Mar 31, 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 22.80 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 5.38 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 753.10 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 1.87 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 1.18 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 696.00 Mn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 114.65 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 570.60 Mn |
| 10 | Metalpha Technology Holding | 52.30 Mn | 27.49 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 256,019.00 |
| Mar 31, 2022 | 673,365.00 |
| Sep 30, 2019 | 1.75 Mn |
| Mar 31, 2019 | 2.35 Mn |
| Sep 30, 2018 | 445,425.00 |
| Mar 31, 2018 | 1.99 Mn |
| Sep 30, 2017 | 2.16 Mn |
| Mar 31, 2017 | 1.52 Mn |
API Access
Metalpha Technology Holding Receivables 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=receivables&ticker=MATH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MATH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();