Agm Group Holdings (AGMH) Operating Expenses (2020 - 2021)
Agm Group Holdings (AGMH) recorded Operating Expenses of -$7.84 million in FY2025, compared with -$909,042 in FY2024.
Analysis
Agm Group Holdings (AGMH) Operating Expenses (2020 - 2021) Analysis & Trends
Starting with FY2015, Agm Group Holdings' Operating Expenses history includes 11 years.
- The FY2025 figure is the lowest annual Operating Expenses since FY2022.
- Per Business Quant data, AGMH's Operating Expenses was -$909,042 in FY2024, $12.67 million in FY2023, -$29.62 million in FY2022 and $1.64 million in FY2021 (+59.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Agm Group Holdings | 2.62 Mn | -1.01 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 820,990.00 |
| Sep 30, 2021 | 339,695.00 |
| Dec 31, 2020 | 214,913.00 |
| Sep 30, 2020 | 290,066.00 |
API Access
Agm Group Holdings 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=AGMH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AGMH", "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=AGMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();