Near Intelligence Stock Current Liabilities

Near Intelligence fundamentals help investors to digest information that contributes to Near Intelligence's financial success or failures. It also enables traders to predict the movement of Near Stock. The fundamental analysis module provides a way to measure Near Intelligence's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Near Intelligence stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Near Intelligence Company Current Liabilities Analysis

Near Intelligence's Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.

Current Liabilities

 = 

Payables

+

Accrued Debt

More About Current Liabilities | All Equity Analysis
Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
Competition

In accordance with the recently published financial statements, Near Intelligence has a Current Liabilities of 0.0. This is 100.0% lower than that of the Software sector and 100.0% lower than that of the Information Technology industry. The current liabilities for all United States stocks is 100.0% higher than that of the company.

Did you try this?

Run Equity Analysis Now

   

Equity Analysis

Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
All  Next Launch Module

Near Fundamentals

Pair Trading with Near Intelligence

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Near Intelligence position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Near Intelligence will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Juniper Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Juniper Networks when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Juniper Networks - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Juniper Networks to buy it.
The correlation of Juniper Networks is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Juniper Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Juniper Networks moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Juniper Networks can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

Other Consideration for investing in Near Stock

If you are still planning to invest in Near Intelligence check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Near Intelligence's history and understand the potential risks before investing.
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets