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Data Update 1 for 2024: The data speaks, but what does it say?

Musings on Markets

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 data analysis processes. Standard Deviation in Equity/Firm Value 2. Book Value Multiples 3. Revenue Multiples 4.

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How can I learn to valuate a company?

Equilest

Pros and Cons of Market-Based Methods: Market-based methods offer valuable insights from real market data, but they require careful selection of comparable companies and transactions to ensure accuracy. Liquidation Value: This method assesses the value of the company's assets if they were to be sold off in a liquidation scenario.

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Data Update 1 for 2021: A (Data) Look Back at a Most Forgettable Year (2020)!

Musings on Markets

In this post, I will start with a rationalization of why I do this data analysis every year, follow up with a description (geographic and sector) of the overall universe of companies that are in my analysis, list out the variables that I estimate and report, and conclude with a short caveat about 2020 data.

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Data Update 1 for 2023: Setting the table!

Musings on Markets

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. If I save analysts and investors time in their decision making, I consider the time spent on my data analysis to have earned its required returns and more.