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Along the way, more people than I ever imagined have found my data of use, and while I still have no desire to be a data service, I have an obligation to be transparent about my dataanalysis processes. EBIT & EBITDA multiple s 5. Long term Reinvestment (Cap Ex & Acquisitons) 4.
This is where the art of valuation meets the science, requiring a blend of dataanalysis and market insight which can help you to arrive at a credible assessment of worth. This is similar to how revenue and EBITDA multiples are used for startups.
For example, as an AI startup focused on dataanalysis in retail, you should research the typical budget allocated by retailers for that purpose. You can also use Equidam to build benchmarking on valuation, revenue and EBITDA directly into your valuation report.
The Skills Required for Commodity Trading You do not use traditional financial statement analysis or valuation in commodity trading because the underlying asset is a futures contract , not a stock. Given the amount of dataanalysis required, you might be wondering if it’s essential to have computer science skills for commodity trading.
By the same token, it is impossible to use a pricing metric (PE or EV to EBITDA), without a sense of the cross sectional distribution of that metric at the time. For example, I have seen it asserted that a stock that trades at less than book value is cheap or that a stock that trades at more than twenty times EBITDA is expensive.
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