Mmtec (MTC) Enterprise Value (2019 - 2026)
Mmtec's Enterprise Value was $127.4 million in Q2 2026.
Analysis
Mmtec (MTC) Enterprise Value (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mmtec's Enterprise Value was $105.61 million through Jun 30, 2026; for FY2025, it was $190.03 million, up 267.5% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $51.7 million in FY2024 (-56.4%), $118.51 million in FY2023, -$1.1 million in FY2022 and $4.97 million in FY2021 (-91.3%).
- The Q2 2026 figure marks the lowest quarterly Enterprise Value since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn |
| 10 | Mmtec | 374.67 Mn | 346.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.46 Mn |
| Dec 31, 2025 | 347.43 Mn |
| Jun 30, 2025 | 16.00 Mn |
| Dec 31, 2024 | 51.70 Mn |
| Jun 30, 2024 | 98.52 Mn |
| Dec 31, 2023 | 212.41 Mn |
| Jun 30, 2023 | 15.53 Mn |
| Dec 31, 2022 | -1.10 Mn |
| Jun 30, 2022 | 2.23 Mn |
| Dec 31, 2021 | 9.50 Mn |
| Jun 30, 2021 | 67.76 Mn |
| Dec 31, 2020 | 56.79 Mn |
| Jun 30, 2020 | 51.63 Mn |
| Dec 31, 2019 | 73.58 Mn |
| Jun 30, 2019 | 661.53 Mn |
API Access
Mmtec Enterprise Value 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=enterprise-value&ticker=MTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();