Mmtec (MTC) Operating Leases (2019 - 2026)
Mmtec's Operating Leases came in at $35,327 for Q2 2026.
Powered by 
Analysis
Mmtec (MTC) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Mmtec's Operating Leases was $180,046, up 337.3% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- Going back by year, Operating Leases was $41,170 in FY2024 (-84.6%), $266,763 in FY2023 (-58.8%), $647,983 in FY2022 (+502.5%) and $107,545 in FY2021 (-65.9%).
- The Q2 2026 figure represents the lowest quarterly Operating Leases in data going back to Q4 2019.
- The fastest year-over-year change in Operating Leases over five years came in Q2 2022 (growth of 545.6%), and the weakest in Q4 2024 (a decline of 84.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Mmtec | 283.88 Mn | 255.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35,327.00 |
| Dec 31, 2025 | 180,046.00 |
| Jun 30, 2025 | 206,877.00 |
| Dec 31, 2024 | 41,170.00 |
| Jun 30, 2024 | 107,164.00 |
| Dec 31, 2023 | 266,763.00 |
| Jun 30, 2023 | 406,460.00 |
| Dec 31, 2022 | 647,983.00 |
| Jun 30, 2022 | 786,178.00 |
| Dec 31, 2021 | 107,545.00 |
| Jun 30, 2021 | 121,776.00 |
| Dec 31, 2020 | 315,190.00 |
| Jun 30, 2020 | 465,530.00 |
| Dec 31, 2019 | 648,334.00 |
API Access
Mmtec Operating Leases 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=operating-leases&ticker=MTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();