Data Patterns Valuation

DATAPATTNS   2,358  45.45  1.97%   
At this time, the firm appears to be overvalued. Data Patterns Limited shows a prevailing Real Value of USD2038.73 per share. The current price of the firm is USD2357.6. Our model computes the value of Data Patterns Limited from reviewing the firm fundamentals such as Shares Outstanding of 55.98 M, profit margin of 0.35 %, and Current Valuation of 123.88 B as well as analyzing its technical indicators and probability of bankruptcy.
Price Book
9.5911
Enterprise Value
123.9 B
Enterprise Value Ebitda
47.0072
Price Sales
24.7751
Trailing PE
71.5064
Overvalued
Today
2,358
Please note that Data Patterns' price fluctuation is very steady at this time. Calculation of the real value of Data Patterns Limited is based on 3 months time horizon. Increasing Data Patterns' time horizon generally increases the accuracy of value calculation and significantly improves the predictive power of the methodology used.
Data Patterns' intrinsic value may or may not be the same as its current market price of 2,358, 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  2357.6 Real  2038.73 Hype  2388.37
The intrinsic value of Data Patterns' 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 Data Patterns' 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.
2,039
Real Value
2,593
Upside
Estimating the potential upside or downside of Data Patterns Limited helps investors to forecast how Data stock's addition to their portfolios will impact the overall performance. We also use other valuation drivers to help us estimate the true value of Data Patterns more accurately as focusing exclusively on Data Patterns' fundamentals will not take into account other important factors:
Earnings
Estimates (0)
LowProjectedHigh
9.129.469.78
Details
Hype
Prediction
LowEstimatedHigh
2,1222,3882,391
Details

Data Patterns Cash

871.25 Million

Data Patterns Total Value Analysis

Data Patterns Limited is currently anticipated to have takeover price of 123.88 B with market capitalization of 132.35 B, debt of 35 M, 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 Data Patterns fundamentals before making investing decisions based on enterprise value of the company

Data Patterns Investor Information

About 57.0% of the company shares are held by company insiders. The company recorded earning per share (EPS) of 33.06. Data Patterns Limited last dividend was issued on the 23rd of July 2024. Based on the key indicators related to Data Patterns' liquidity, profitability, solvency, and operating efficiency, Data Patterns Limited is not in a good financial situation at the present time. It has a very high chance of going through financial crunch in December.
Current ValueLast YearChange From Last Year 10 Year Trend
Operating Income1.3 B2.5 B
Way Down
Slightly volatile

Data Patterns Asset Utilization

The asset utilization indicator refers to the revenue earned for every dollar of assets a company currently reports. Data Patterns has an asset utilization ratio of 30.73 percent. This implies that the Company is making USD0.31 for each dollar of assets. An increasing asset utilization means that Data Patterns Limited is more efficient with each dollar of assets it utilizes for everyday operations.
 
Covid

Data Patterns Ownership Allocation

Data Patterns holds a total of 55.98 Million outstanding shares. Data Patterns Limited retains significant amount of outstanding shares owned by insiders. An insider is usually defined as a CEO, other corporate executive, director, or institutional investor who own at least 10% of the company's outstanding shares. Since such a large part of the company is owned by insiders, it is advisable to analyze if each of these insiders have been buying or selling the stock in recent months. Please note that no matter how many assets the company secures, if the real value of the firm is less than the current market value, you may not be able to make money on it.

Data Patterns Profitability Analysis

The company reported the revenue of 5.2 B. Net Income was 1.82 B with profit before overhead, payroll, taxes, and interest of 2.23 B.

About Data Patterns Valuation

The stock valuation mechanism determines Data Patterns' current worth on a daily basis. In general, an absolute valuation approach attempts to find the value of Data Patterns Limited based exclusively on its fundamental and basic technical indicators. As compared to an absolute model, our relative valuation model uses a comparative analysis of Data Patterns. We calculate exposure to Data Patterns's market risk, different technical and fundamental indicators, and relevant financial multiples and ratios and then compare them to those of Data Patterns's related companies.
Last ReportedProjected for Next Year
Gross Profit3.5 B2.2 B

Data Patterns Quarterly Retained Earnings

5.09 Billion

Additional Tools for Data Stock Analysis

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