Amtd Idea (AMTD) Non Operating Interest Expenses (2018 - 2020)
Amtd Idea (AMTD) reported Non Operating Interest Expenses of -$13.08 million for FY2025, compared with -$13.6 million in FY2024.
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Analysis
Amtd Idea (AMTD) Non Operating Interest Expenses (2018 - 2020) Analysis & Trends
Dating back to FY2017, Amtd Idea's Non Operating Interest Expenses record includes 9 years.
- Five-year annual Non Operating Interest Expenses spans a low of -$13.6 million in FY2024 and a high of $859,000 in FY2022.
- According to Business Quant data, Non Operating Interest Expenses came in at -$13.6 million in FY2024, -$8.2 million in FY2023, $859,000 in FY2022 and -$1.65 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.89 Bn | 98.23 Bn | - | 43.50 Mn |
| 2 | Bank of New York Mellon | 101.29 Bn | 34.91 Bn | - | - |
| 3 | Intercontinental Exchange | 97.16 Bn | 90.05 Bn | - | 222.00 Mn |
| 4 | Robinhood Markets | 71.79 Bn | 51.33 Bn | - | - |
| 5 | Nasdaq | 60.13 Bn | 57.57 Bn | 1.48 Bn | 86.00 Mn |
| 6 | State Street | 45.99 Bn | 45.99 Bn | - | - |
| 7 | Cboe Global Markets | 37.24 Bn | 27.72 Bn | 712.20 Mn | 13.10 Mn |
| 8 | Interactive Brokers | 34.58 Bn | 10.88 Bn | - | - |
| 9 | Northern Trust | 31.70 Bn | 31.70 Bn | - | - |
| 10 | Amtd Idea | 19.54 Mn | -187.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 2.78 Mn |
| Sep 30, 2020 | 1.88 Mn |
| Dec 31, 2019 | 3.54 Mn |
| Sep 30, 2019 | 1.38 Mn |
| Dec 31, 2018 | 1.99 Mn |
API Access
Amtd Idea Non Operating Interest 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=non-operating-interest-expenses&ticker=AMTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "AMTD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=AMTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();