The Value Equation. Christopher H. Volk

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Название The Value Equation
Автор произведения Christopher H. Volk
Жанр Экономика
Серия
Издательство Экономика
Год выпуска 0
isbn 9781119875659



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total rate of return be a mere 5%, then your investment value would stand to fall in half.

      People commonly confuse investment returns with wealth creation. They are not the same. Think of it: A company could provide its shareholders with a meaty annual rate of return of 10%, yet still have created no value above what it cost to create. In turn, if you accumulate enough investable assets capable of delivering 10% annual rates of return over time, you can personally become rich. But keep in mind that without the potential to deliver annual returns greater than 10%, the company in our example would likely never have been able to attract sophisticated outside investor capital. The independent investors would likely have elected to invest their money elsewhere, possibly into the S&P 500 Index, which is backed by a portfolio of the nation's largest seasoned companies having far greater investment liquidity and far less execution risk.

      Shareholder wealth creation is the single most important corporate financial performance metric. It's not that hard to figure out. Just calculate what a company cost to create, then subtract what it owes to creditors, and you get a number equal to what owners have invested at cost. Now, compare that owner investment to its current valuation—this is obviously easiest with a public company—and you arrive at the amount of shareholder wealth creation. This number is called equity market value added, or EMVA, which is simply the amount by which a company's shareholder equity is worth more than it cost to create.

      Once you know the amount of value creation, you can compute the annual compound growth rate of your EMVA. Key to this computation is knowing the weighted average age of company equity at cost, which will almost always be younger than a company's chronological age. That is because most companies reinvest some or all their free cash flows back into the business, rather than distribute that free cash flow to shareholders. The result is that the cost basis of a company's equity rises each year as company management reinvests shareholder cash flows into the business. In the case of the companies I have helped lead, we have also raised new shareholder capital annually, which has served to further reduce the effective age of our business. Financially speaking, the higher the annual compound EMVA growth you can realize, the better you are.

      The reinvestment of cash flows is the main reason that broad stock market indices rise over the long term. They have to. Yet, for shareholders, the paramount issue should be whether companies are able to retain and reinvest their free cash flows without losing any of the value of that reinvested cash. And while not losing any wealth would be great, creating added EMVA would be even better.

      Regrettably, too few Americans understand the power and dynamics of business wealth creation. Many of us believe that wealth is beyond our reach and that our market economy is somehow rigged to favor an elite few. I have never believed this. At its heart, America aspires to be a meritocracy. If you are fortunate enough to live in America, your potential should be limited only by your imagination, dedication, and discipline.

      My experience is that good ideas, solid business models, and qualified leadership teams are scarcer than the investor capital needed to support and sponsor them. In my career, this has become increasingly true. If you are considering an idea having the potential for wealth creation, America is as good a place as I can think of to execute it. For one, the US, with approximately 4% of the world's population, has more small- and middle-market companies than any other country in the world. According to the US Small Business Administration and the US Census Bureau, as of 2018, there were approximately 26 million small businesses having no paid employees other than the owner, and more than 6 million small businesses with fewer than 500 paid employees. Those small businesses collectively employed nearly half of all working Americans.

      Among the greatest gifts my parents gave me were an education and an example. In 1980, with nothing but a college degree in history and French, $500, and a box of hundreds of rejection letters from prospective employers, I loaded up my 1970 Volkswagen in New York and drove to Atlanta, Georgia. I landed a job selling clothing, and then started attending night school to learn about business. A few months later, I was hired by a regional bank—my goal was to work for a bank—where I would spend the next six years. For most of those years, I was engaged analyzing businesses and evaluating their ability to repay loans. I also spent many of my evenings in night school, earning my MBA. Along the way, I learned something that seems obvious: Not all businesses are created equal. Some businesses simply have superior business models that enable greater wealth creation.

      After I started to work at the bank, I became interested in business models. From my earliest days in banking, I began to model out businesses and create projections, which helped me to develop an expertise in business model evaluation. I cut my teeth on Visicalc (the first spreadsheet software for personal computers), graduated to Lotus 123, and later moved on to Excel, which is the prevalent spreadsheet software in use today. My earliest financial models can be described as long and weighty.

      The thing about most business models and projections is that they are bound to be wrong. In fact, I commonly saw companies put together “base case,” “best case,” and “worst case” financial model scenarios, which simply gave the model authors the opportunity to be wrong three times. In truth, with just one or two variable changes, business model outcomes can vary by great degrees. Given this high level of variability, I became wedded to sensitivity tables (or “data tables” in Excel), which allowed me to see potential outcomes given a range of values for any two key model inputs. If you created