Mmtec (MTC) Total Liabilities (2019 - 2026)
Mmtec (MTC) recorded Total Liabilities of $3.68 million in Q2 2026.
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Analysis
Mmtec (MTC) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Mmtec reported Total Liabilities of $3.9 million, down 90.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 30.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $39.3 million in FY2024 (+3.2%), $38.08 million in FY2023, $2.03 million in FY2022 (+64.4%) and $1.24 million in FY2021 (+21.8%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Mmtec | 283.88 Mn | 255.59 Mn | - | 3.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.68 Mn |
| Dec 31, 2025 | 3.90 Mn |
| Jun 30, 2025 | 40.12 Mn |
| Dec 31, 2024 | 39.30 Mn |
| Jun 30, 2024 | 38.57 Mn |
| Dec 31, 2023 | 38.08 Mn |
| Jun 30, 2023 | 64.39 Mn |
| Dec 31, 2022 | 2.03 Mn |
| Jun 30, 2022 | 2.02 Mn |
| Dec 31, 2021 | 1.24 Mn |
| Jun 30, 2021 | 763,372.00 |
| Dec 31, 2020 | 1.01 Mn |
| Jun 30, 2020 | 1.11 Mn |
| Jun 30, 2019 | 273,623.00 |
API Access
Mmtec Total Liabilities 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=total-liabilities&ticker=MTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();