Agm Group Holdings (AGMH) Accumulated Expenses (2016 - 2024)
Agm Group Holdings (AGMH) reported Accumulated Expenses of $335,696 for Q4 2024, unchanged from $335,696 a year earlier.
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Analysis
Agm Group Holdings (AGMH) Accumulated Expenses (2016 - 2024) Analysis & Trends
Dating back to Q4 2016, Agm Group Holdings' Accumulated Expenses record includes 13 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 23.3% (FY2019 to FY2024).
- By year, Accumulated Expenses came in at $335,696 in FY2023 (unchanged), $335,696 in FY2022 (+427.3%) and $63,659 in FY2021.
- Five-year quarterly Accumulated Expenses spans a low of $47,169 in Q3 2021 and a high of $348,131 in Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Agm Group Holdings | 2.62 Mn | -1.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 335,696.00 |
| Jun 30, 2024 | 335,696.00 |
| Dec 31, 2023 | 335,696.00 |
| Jun 30, 2023 | 335,696.00 |
| Dec 31, 2022 | 335,696.00 |
| Jun 30, 2022 | 348,131.00 |
| Dec 31, 2021 | 63,659.00 |
| Sep 30, 2021 | 47,169.00 |
| Jun 30, 2020 | 161,339.00 |
| Dec 31, 2019 | 117,735.00 |
| Jun 30, 2018 | 238.55 Mn |
| Dec 31, 2017 | 393.24 Mn |
| Dec 31, 2016 | 1.08 Bn |
API Access
Agm Group Holdings 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=AGMH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AGMH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();