Molecular Data Valuation

MKDTY Stock  USD 0.0002  0.00  0.00%   
Molecular Data seems to be undervalued based on Macroaxis valuation methodology. Our model forecasts the value of Molecular Data from analyzing the firm technical indicators and probability of bankruptcy. In general, investors recommend acquiring undervalued pink sheets and dropping overvalued pink sheets since, at some point, pink sheet prices and their ongoing real values will merge together.
Undervalued
Today
0.0002
Please note that Molecular Data's price fluctuation is out of control at this time. Calculation of the real value of Molecular Data is based on 3 months time horizon. Increasing Molecular Data's time horizon generally increases the accuracy of value calculation and significantly improves the predictive power of the methodology used.
Since Molecular Data is currently traded on the exchange, buyers and sellers on that exchange determine the market value of Molecular Pink Sheet. However, Molecular Data's intrinsic value may or may not be the same as its current market price, in which case there is an opportunity to profit from the mispricing, assuming the market price will eventually merge with its intrinsic value.
Historical Market  2.0E-4 Real  2.32E-4 Hype  1.53E-4 Naive  1.86E-4
The intrinsic value of Molecular Data's stock can be calculated using various methods such as discounted cash flow analysis, price-to-earnings ratio, or price-to-book ratio. That value may differ from its current market price, which is determined by supply and demand factors such as investor sentiment, market trends, news, and other external factors that may influence Molecular Data's stock price. It is important to note that the real value of any stock may change over time based on changes in the company's performance.
0.0002
Real Value
24.33
Upside
Estimating the potential upside or downside of Molecular Data helps investors to forecast how Molecular pink sheet's addition to their portfolios will impact the overall performance. We also use other valuation drivers to help us estimate the true value of Molecular Data more accurately as focusing exclusively on Molecular Data's fundamentals will not take into account other important factors:
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.00020.00020.0002
Details
Hype
Prediction
LowEstimatedHigh
0.000.000224.33
Details
Naive
Forecast
LowNext ValueHigh
0.0000040.000224.33
Details

Molecular Data Total Value Analysis

Molecular Data is now anticipated to have takeover price of 0 with market capitalization of 0, debt of , and cash on hands of . Please note that takeover price may be misleading and is a subject to mistakes in financial statements. We encourage investors to thoroughly investigate all of the Molecular Data fundamentals before making investing decisions based on enterprise value of the company

Molecular Data Asset Utilization

The concept of asset utilization usually refers to the revenue earned for every dollar of assets a company currently reports. The current return on assets of Molecular suggests not a very effective usage of assets in January.

About Molecular Data Valuation

Our relative valuation model uses a comparative analysis of Molecular Data. We calculate exposure to Molecular Data's market risk, different technical and fundamental indicators, and relevant financial multiples and ratios and then compare them to those of Molecular Data's related companies.

8 Steps to conduct Molecular Data's Valuation Analysis

Company's valuation is the process of determining the worth of any company in monetary terms. It estimates Molecular Data's potential worth based on factors such as financial performance, market conditions, growth prospects, and overall economic environment. The result of company valuation is a single number representing a Company's current market value. This value can be used as a benchmark for various financial transactions such as mergers and acquisitions, initial public offerings (IPOs), or private equity investments. To conduct Molecular Data's valuation analysis, follow these 8 steps:
  • Gather financial information: Obtain Molecular Data's financial statements, including balance sheets, income statements, and cash flow statements.
  • Determine Molecular Data's revenue streams: Identify Molecular Data's primary sources of revenue, including products or services offered, target markets, and pricing strategies.
  • Analyze market data: Research Molecular Data's industry and market trends, including the size of the market, growth rate, and competition.
  • Establish Molecular Data's growth potential: Evaluate Molecular Data's management, business model, and growth potential.
  • Determine Molecular Data's financial performance: Analyze its financial statements to assess its historical performance and future potential.
  • Choose a valuation method: Consider the Company's specific circumstances and choose an appropriate valuation method, such as the discounted cash flow (DCF) or comparable analysis method.
  • Calculate the value: Apply the chosen valuation method to the financial information and market data to calculate Molecular Data's estimated value.
  • Review and adjust: Review the results and make necessary adjustments, considering any relevant factors that may have been missed or overlooked.
Note: This is a general outline, and different approaches and methods may be used depending on the type and size of the company being valued. We also recomment to seek professional assistance to ensure accuracy.

Additional Tools for Molecular Pink Sheet Analysis

When running Molecular Data's price analysis, check to measure Molecular Data's 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 Molecular Data is operating at the current time. Most of Molecular Data's value examination focuses on studying past and present price action to predict the probability of Molecular Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Molecular Data's price. Additionally, you may evaluate how the addition of Molecular Data to your portfolios can decrease your overall portfolio volatility.