Amtd Idea (AMTD) Operating Expenses (2018 - 2020)
Amtd Idea (AMTD) recorded Operating Expenses of $4.62 million in FY2025, up 0.1% from $4.62 million in FY2024.
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Analysis
Amtd Idea (AMTD) Operating Expenses (2018 - 2020) Analysis & Trends
Starting with FY2017, Amtd Idea's Operating Expenses history includes 7 years.
- Annual Operating Expenses has increased for three straight years, with a three-year compound annual growth rate of 6.7% (FY2022 to FY2025).
- The FY2025 figure is the highest annual Operating Expenses since FY2019.
- Per Business Quant data, AMTD's Operating Expenses was $4.62 million in FY2024 (+0.4%), $4.6 million in FY2023 (+20.8%) and $3.81 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.62 Bn | 96.95 Bn | - | 595.90 Mn |
| 2 | Bank of New York Mellon | 102.07 Bn | 102.07 Bn | - | 3.49 Bn |
| 3 | Intercontinental Exchange | 95.66 Bn | 95.66 Bn | - | 1.36 Bn |
| 4 | Robinhood Markets | 75.55 Bn | 55.09 Bn | - | 739.00 Mn |
| 5 | Nasdaq | 60.34 Bn | 57.77 Bn | 1.48 Bn | 749.00 Mn |
| 6 | State Street | 46.48 Bn | 46.48 Bn | - | 2.62 Bn |
| 7 | Cboe Global Markets | 35.48 Bn | 27.14 Bn | 731.60 Mn | 255.60 Mn |
| 8 | Interactive Brokers | 34.25 Bn | 34.25 Bn | - | 418.00 Mn |
| 9 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 1.49 Bn |
| 10 | Amtd Idea | 1.74 Bn | 1.53 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -10.80 Mn |
| Dec 31, 2019 | 14.66 Mn |
| Sep 30, 2019 | -6.46 Mn |
| Dec 31, 2018 | 707,122.90 |
| Sep 30, 2018 | 2.16 Mn |
API Access
Amtd Idea Operating 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=operating-expenses&ticker=AMTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AMTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();