Data Patterns (India) Limited's (NSE:DATAPATTNS) CEO Srinivasagopalan Rangarajan is the most upbeat insider, and their holdings increased by 11% last week

Every investor in Data Patterns (India) Limited (NSE:DATAPATTNS) should be aware of the most powerful shareholder groups. And the group that holds the biggest piece of the pie are individual insiders with 78% ownership. That is, the group stands to benefit the most if the stock rises (or lose the most if there is a downturn).

As a result, insiders were the biggest beneficiaries of last week’s 11% gain.

Let's take a closer look to see what the different types of shareholders can tell us about Data Patterns (India).

View our latest analysis for Data Patterns (India)

What Does The Institutional Ownership Tell Us About Data Patterns (India)?

Institutional investors commonly compare their own returns to the returns of a commonly followed index. So they generally do consider buying larger companies that are included in the relevant benchmark index.

As you can see, institutional investors have a fair amount of stake in Data Patterns (India). This implies the analysts working for those institutions have looked at the stock and they like it. But just like anyone else, they could be wrong. When multiple institutions own a stock, there's always a risk that they are in a 'crowded trade'. When such a trade goes wrong, multiple parties may compete to sell stock fast. This risk is higher in a company without a history of growth. You can see Data Patterns (India)'s historic earnings and revenue below, but keep in mind there's always more to the story.

Hedge funds don't have many shares in Data Patterns (India). The company's CEO Srinivasagopalan Rangarajan is the largest shareholder with 25% of shares outstanding. Meanwhile, the second and third largest shareholders, hold 21% and 12%, of the shares outstanding, respectively. Note that two of the top three shareholders are also Senior Key Executive and Member of the Board of Directors, respectively, once again pointing to significant ownership by company insiders.

To make our study more interesting, we found that the top 3 shareholders have a majority ownership in the company, meaning that they are powerful enough to influence the decisions of the company.

Researching institutional ownership is a good way to gauge and filter a stock's expected performance. The same can be achieved by studying analyst sentiments. As far as we can tell there isn't analyst coverage of the company, so it is probably flying under the radar.

Insider Ownership Of Data Patterns (India)

While the precise definition of an insider can be subjective, almost everyone considers board members to be insiders. Company management run the business, but the CEO will answer to the board, even if he or she is a member of it.

Most consider insider ownership a positive because it can indicate the board is well aligned with other shareholders. However, on some occasions too much power is concentrated within this group.

Our most recent data indicates that insiders own the majority of Data Patterns (India) Limited. This means they can collectively make decisions for the company. That means they own ₹54b worth of shares in the ₹69b company. That's quite meaningful. Most would be pleased to see the board is investing alongside them. You may wish todiscover (for free) if they have been buying or selling.

General Public Ownership

The general public, who are usually individual investors, hold a 13% stake in Data Patterns (India). While this size of ownership may not be enough to sway a policy decision in their favour, they can still make a collective impact on company policies.

Next Steps:

I find it very interesting to look at who exactly owns a company. But to truly gain insight, we need to consider other information, too. Consider risks, for instance. Every company has them, and we've spotted 1 warning sign for Data Patterns (India) you should know about.

If you would prefer check out another company -- one with potentially superior financials -- then do not miss this free list of interesting companies, backed by strong financial data.

NB: Figures in this article are calculated using data from the last twelve months, which refer to the 12-month period ending on the last date of the month the financial statement is dated. This may not be consistent with full year annual report figures.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.