We Think Shareholders Should Be Aware Of Some Factors Beyond Datametrex AI's (CVE:DM) Profit
Even though Datametrex AI Limited (CVE:DM) posted strong earnings recently, the stock hasn't reacted in a large way. We decided to have a deeper look, and we believe that investors might be worried about several concerning factors that we found.
View our latest analysis for Datametrex AI
Examining Cashflow Against Datametrex AI's Earnings
Many investors haven't heard of the accrual ratio from cashflow, but it is actually a useful measure of how well a company's profit is backed up by free cash flow (FCF) during a given period. To get the accrual ratio we first subtract FCF from profit for a period, and then divide that number by the average operating assets for the period. This ratio tells us how much of a company's profit is not backed by free cashflow.
Therefore, it's actually considered a good thing when a company has a negative accrual ratio, but a bad thing if its accrual ratio is positive. While it's not a problem to have a positive accrual ratio, indicating a certain level of non-cash profits, a high accrual ratio is arguably a bad thing, because it indicates paper profits are not matched by cash flow. Notably, there is some academic evidence that suggests that a high accrual ratio is a bad sign for near-term profits, generally speaking.
For the year to March 2021, Datametrex AI had an accrual ratio of 0.70. Ergo, its free cash flow is significantly weaker than its profit. As a general rule, that bodes poorly for future profitability. Indeed, in the last twelve months it reported free cash flow of CA$1.2m, which is significantly less than its profit of CA$5.28m. Given that Datametrex AI had negative free cash flow in the prior corresponding period, the trailing twelve month resul of CA$1.2m would seem to be a step in the right direction. Having said that, there is more to consider. We can look at how unusual items in the profit and loss statement impacted its accrual ratio, as well as explore how dilution is impacting shareholders negatively. One positive for Datametrex AI shareholders is that it's accrual ratio was significantly better last year, providing reason to believe that it may return to stronger cash conversion in the future. As a result, some shareholders may be looking for stronger cash conversion in the current year.
Note: we always recommend investors check balance sheet strength. Click here to be taken to our balance sheet analysis of Datametrex AI.
In order to understand the potential for per share returns, it is essential to consider how much a company is diluting shareholders. In fact, Datametrex AI increased the number of shares on issue by 13% over the last twelve months by issuing new shares. As a result, its net income is now split between a greater number of shares. To talk about net income, without noticing earnings per share, is to be distracted by the big numbers while ignoring the smaller numbers that talk to per share value. You can see a chart of Datametrex AI's EPS by clicking here.
A Look At The Impact Of Datametrex AI's Dilution on Its Earnings Per Share (EPS).
Datametrex AI was losing money three years ago. Zooming in to the last year, we still can't talk about growth rates coherently, since it made a loss last year. What we do know is that while it's great to see a profit over the last twelve months, that profit would have been better, on a per share basis, if the company hadn't needed to issue shares. And so, you can see quite clearly that dilution is influencing shareholder earnings.
If Datametrex AI's EPS can grow over time then that drastically improves the chances of the share price moving in the same direction. But on the other hand, we'd be far less excited to learn profit (but not EPS) was improving. For that reason, you could say that EPS is more important that net income in the long run, assuming the goal is to assess whether a company's share price might grow.
The Impact Of Unusual Items On Profit
The fact that the company had unusual items boosting profit by CA$4.4m, in the last year, probably goes some way to explain why its accrual ratio was so weak. While we like to see profit increases, we tend to be a little more cautious when unusual items have made a big contribution. When we crunched the numbers on thousands of publicly listed companies, we found that a boost from unusual items in a given year is often not repeated the next year. And, after all, that's exactly what the accounting terminology implies. We can see that Datametrex AI's positive unusual items were quite significant relative to its profit in the year to March 2021. All else being equal, this would likely have the effect of making the statutory profit a poor guide to underlying earnings power.
Our Take On Datametrex AI's Profit Performance
Datametrex AI didn't back up its earnings with free cashflow, but this isn't too surprising given profits were inflated by unusual items. Meanwhile, the new shares issued mean that shareholders now own less of the company, unless they tipped in more cash themselves. On reflection, the above-mentioned factors give us the strong impression that Datametrex AI'sunderlying earnings power is not as good as it might seem, based on the statutory profit numbers. If you want to do dive deeper into Datametrex AI, you'd also look into what risks it is currently facing. Case in point: We've spotted 5 warning signs for Datametrex AI you should be mindful of and 1 of them shouldn't be ignored.
In this article we've looked at a number of factors that can impair the utility of profit numbers, and we've come away cautious. But there are plenty of other ways to inform your opinion of a company. For example, many people consider a high return on equity as an indication of favorable business economics, while others like to 'follow the money' and search out stocks that insiders are buying. While it might take a little research on your behalf, you may find this free collection of companies boasting high return on equity, or this list of stocks that insiders are buying to be useful.
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Datametrex AI Limited, together with its subsidiaries, provides collecting, analyzing, and presenting structured and unstructured data using its patented machine learning and artificial intelligence in Canada and South Korea.
Flawless balance sheet with poor track record.