Mmtec (MTC) Accumulated Expenses (2017 - 2024)
Mmtec (MTC) reported Accumulated Expenses of $83,700 for Q4 2024, down 33.3% from $125,550 a year earlier.
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Analysis
Mmtec (MTC) Accumulated Expenses (2017 - 2024) Analysis & Trends
Dating back to Q4 2017, Mmtec's Accumulated Expenses record includes 8 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of -17.7% (FY2019 to FY2024).
- By year, Accumulated Expenses came in at $125,550 in FY2023 (unchanged), $125,550 in FY2022 (-66.3%), $372,168 in FY2021 (+292.6%) and $94,799 in FY2020 (-57.3%).
- The Q4 2024 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Mmtec | 547.73 Mn | 519.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 83,700.00 |
| Dec 31, 2023 | 125,550.00 |
| Jun 30, 2023 | 1.34 Mn |
| Dec 31, 2022 | 125,550.00 |
| Dec 31, 2021 | 372,168.00 |
| Dec 31, 2020 | 94,799.00 |
| Dec 31, 2019 | 222,152.00 |
| Dec 31, 2018 | 283,496.00 |
| Dec 31, 2017 | 334.00 |
API Access
Mmtec 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=MTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MTC", "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=MTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();