Mmtec (MTC) Other Accumulated Expenses (2017 - 2025)
Mmtec (MTC) posted Other Accumulated Expenses of $812,170 for Q4 2025, compared with $21,425 a year earlier.
Analysis
Mmtec (MTC) Other Accumulated Expenses (2017 - 2025) Analysis & Trends
Since Q4 2017, Mmtec has reported Other Accumulated Expenses for 13 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 255.4% (FY2020 to FY2025).
- In prior years, Mmtec's Other Accumulated Expenses was $21,425 in FY2024 (-99.5%), $4.53 million in FY2023, $24,655 in FY2022 (-93.1%) and $356,274 in FY2021.
- The Q4 2025 figure stands as the highest quarterly Other Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn |
| 10 | Mmtec | 267.81 Mn | 239.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 812,170.00 |
| Dec 31, 2024 | 21,425.00 |
| Dec 31, 2023 | 4.53 Mn |
| Jun 30, 2023 | 1.34 Mn |
| Dec 31, 2022 | 24,655.00 |
| Dec 31, 2021 | 356,274.00 |
| Jun 30, 2021 | 720.00 |
| Dec 31, 2020 | 1,433.00 |
| Jun 30, 2020 | 8,000.00 |
| Dec 31, 2019 | 6,030.00 |
| Jun 30, 2019 | 72,501.00 |
| Dec 31, 2018 | 239,635.00 |
| Dec 31, 2017 | 334.00 |
API Access
Mmtec Other 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=other-accumulated-expenses&ticker=MTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=MTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();