Mingzhu Capital Lease Obligations from 2010 to 2024
| YGMZ Stock | USD 1.08 0.03 2.70% |
Capital Lease Obligations | First Reported 2010-12-31 | Previous Quarter 9.5 K | Current Value 9.1 K | Quarterly Volatility 777.6 K |
Check Mingzhu Logistics financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Mingzhu Logistics' main balance sheet or income statement drivers, such as Tax Provision of 436.1 K, Depreciation And Amortization of 1.6 M or Interest Expense of 576.3 K, as well as many indicators such as Price To Sales Ratio of 1.07, Dividend Yield of 0.0084 or PTB Ratio of 2.14. Mingzhu financial statements analysis is a perfect complement when working with Mingzhu Logistics Valuation or Volatility modules.
Mingzhu | Capital Lease Obligations |
Latest Mingzhu Logistics' Capital Lease Obligations Growth Pattern
Below is the plot of the Capital Lease Obligations of Mingzhu Logistics Holdings over the last few years. Mingzhu Logistics capital lease obligations are the amount due for long-term lease agreements that are nearly equivalent to Mingzhu Logistics asset purchases. For example, Mingzhu Logistics can use a capital lease to finance the purchase of an asset without ever buying it. A capital lease gives companies such as Mingzhu Logistics control over an asset for a big portion of its life. It is the total obligations of a company under capital leases, which are lease agreements that transfer substantially all risks and rewards of ownership to the lessee. Mingzhu Logistics' Capital Lease Obligations historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Mingzhu Logistics' overall financial position and show how it may be relating to other accounts over time.
| Capital Lease Obligations | 10 Years Trend |
|
Capital Lease Obligations |
| Timeline |
Mingzhu Capital Lease Obligations Regression Statistics
| Arithmetic Mean | 1,404,679 | |
| Geometric Mean | 694,138 | |
| Coefficient Of Variation | 55.35 | |
| Mean Deviation | 619,686 | |
| Median | 1,781,414 | |
| Standard Deviation | 777,556 | |
| Sample Variance | 604.6B | |
| Range | 2.5M | |
| R-Value | (0.55) | |
| Mean Square Error | 452.9B | |
| R-Squared | 0.30 | |
| Significance | 0.03 | |
| Slope | (95,930) | |
| Total Sum of Squares | 8.5T |
Mingzhu Capital Lease Obligations History
About Mingzhu Logistics Financial Statements
Mingzhu Logistics investors use historical fundamental indicators, such as Mingzhu Logistics' Capital Lease Obligations, to determine how well the company is positioned to perform in the future. Understanding over-time patterns can help investors decide on long-term investments in Mingzhu Logistics. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Capital Lease Obligations | 9.5 K | 9.1 K |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Mingzhu Stock Analysis
When running Mingzhu Logistics' price analysis, check to measure Mingzhu Logistics' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Mingzhu Logistics is operating at the current time. Most of Mingzhu Logistics' value examination focuses on studying past and present price action to predict the probability of Mingzhu Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mingzhu Logistics' price. Additionally, you may evaluate how the addition of Mingzhu Logistics to your portfolios can decrease your overall portfolio volatility.