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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.
Tesla's rise is summarized in the graph below, where we look at the company's revenues and earnings over time, with earnings measured in gross and operating terms, and EBITDA capturing operating cash flows: 2022 numbers updated to reflect 4th quarter earnings call on 1/25/23 Between 2010 and 2020, Tesla grew revenues from $117 million to $31.5
billion in gross profit in the last twelve months leading into 2023, but operating income drops off to $6.4 Finally, I look at the aggregated values across all companies on all three income measures, across all global companies, again broken down by sector: Collectively, global companies reported $16.9 billion and need income is only $4.3
In this post, I will focus on corporate debt in 2023, keeping in mind that it was a year where the tradeoffs changed, as interest rates rose to pre-2008 levels, and putting at risk those firms that had borrowed to capacity, or even beyond, at low interest rates.
Beta & Risk 1. Equity RiskPremiums 2. EBIT & EBITDA multiple s 5. Working capital needs Thus, I compute pricing multiples based on revenues (EV to Sales, Price to Sales), earnings (PE, PEG), book value (PBV, EV to Invested Capital) or cash flow proxies (EV to EBITDA). Return on Equity 1. Debt Details 1.
In my last three posts, I looked at the macro (equity riskpremiums, default spreads, risk free rates) and micro (company risk measures) that feed into the expected returns we demand on investments, and argued that these expected returns become hurdle rates for businesses, in the form of costs of equity and capital.
Concept of notional interest : It is proposed to introduce notional interest, the idea of which is to allow the deduction during 10 consecutive years of this "synthetic" interest, within the famous limit of 30% of the company's EBITDA. riskpremium if the company is an SME as defined by European law).
In my last data updates for this year, I looked first at how equity markets rebounded in 2023 , driven by a stronger-than-expected economy and inflation coming down, and then at how interest rates mirrored this rebound. Globally, health care has the highest percentage of money-losing companies and utilities have the lowest.
After the 2008 market crisis, I resolved that I would be far more organized in my assessments and updating of equity riskpremiums, in the United States and abroad, as I looked at the damage that can be inflicted on intrinsic value by significant shifts in riskpremiums, i.e., my definition of a crisis.
Thus, as you peruse my historical data on implied equity riskpremiums or PE ratios for the S&P 500 over time, you may be tempted to compute averages and use them in your investment strategies, or use my industry averages for debt ratios and pricing multiples as the target for every company in the peer group, but you should hold back.
Debt to EBITDA : Since debt payments are contractually set, looking at how much debt is due relative to measure of operating cash flow making sense, and that ratio of debt to EBITDA provides a measure of that capacity, with higher (lower) numbers indicating more (less) financial strain from debt. to3.5%) during the year.
I aggregated the market capitalizations of all stocks at the end of 2023 and the end of 2024, and computed the percentage change. The logical step in looking across countries is measuring risk in countries, and bringing that risk into your analysis, by incorporating that risk by demanding higher expected returns in riskier countries.
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