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A new way to evaluate business assets...Do you need to value your business because...
Or value a business you're thinking of investing in... What's wrong with the 500 year old way in which all companies keep their books? Just about everything, says Baruch Lev, who has proposed a new method for determining the value of the intangible assets that are at the heart of the new economy. If research, innovation a web site or electronic commerce is any part of the mix in your business--you can't afford not to look at this. Send your accountant, tax advisor and attorney to this page. (They will thank you.) The article here. Note, this article was sent to me by a friend and I'm not sure of the source. |
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New Math for a new Economy…
Just about everything, says Baruch Lev, who has proposed a new method for determining the value of the intangible assets that are at the heart of the new economy. By Alan M. Webber Accounting is all about accuracy
Accounting is
all about hard numbers.
Accounting is all about accountability.
Accounting
is a time honored tool for making hard decisions about dollars and cents,
about profits and losses. Accounting is the land of bean counters, of
number crunchers men and women with green eyeshades and calculators. Accounting,
says Baruch Lev, the Philip Bardes Professor of Accounting and Finance at
New York University's Leonard N. Stern School of Business, is increasingly
irrelevant. And, for that reason, it is increasingly essential and
interesting to all of us. The problem, says Lev, is that the systems of
accounting and financial reporting that are being used today date back
more than 500 years. These systems are not only part of the old
economy, they're part of the old, old economy. Luca Pacioli, an Italian
mathematician who lived in Venice in the 1400s, developed double entry
bookkeeping in order to offer business people a simple method for keeping
track of their transactions and, even more important, for making
sense of the way that they did business. "If you cannot be a good
accountant," Pacioli wrote, "you will grope your way forward
like a blind man and may meet great losses." Today,
argues Lev, being a good accountant doesn't guarantee good
eyesight. The old lens cannot capture the new economy, in which value is
created by intangible assets: ideas, brands, ways of working, and
franchises. The
disconnect, says Lev, effects more than just financial analysts and
corporate financial officers: Employees don't know how to value their
contributions accurately. Managers don't have good numbers to refer to
when deciding whether to back a project, or when assessing a project's
performance. Are knowledge based companies overvalued on the stock market?
Are companies paying too much to acquire knowledge based assets? These
questions, says Lev, and more cannot be adequately answered with today's
accounting and financial reporting methods. Accounting, in other words, no longer delivers
accountability. Lev,
who is also director of the Vincent C. Ross Institute of Accounting
Research and the Project for Research on Intangibles, has become the most
articulate, thoughtful, and outspoken critic of old fashioned accounting,
and the most creative advocate of a new, knowledge based approach to
accounting. He has pioneered the development of a Knowledge Capital
Scoreboard, which attempts to put hard numbers to intangible assets. To
find out more about what's wrong with traditional accounting, what is
needed to fix it, and why it matters to all of us no matter what our job
or industry, FAST Company interviewed Lev in his office in New York City. Why are you Calling for a rethinking of the Principles of accounting and finance? In
the past several decades, there has been a dramatic shift, a
transformation, in what economists call the production functions of
companies the major assets that create value and growth.
Intangibles are fast becoming substitutes for physical assets. At the same time, there has been complete stagnation in
our measurement and reporting systems. I’m not talking only about
financial reports and Internet investments but also about internal
measurements accounting and reporting inside companies. These systems all
date back more than 500 years. So
here's the situation: We
are using a 5oo year old system to make decisions in a complex business
environment in which the essential assets that create value have
fundamentally changed. What's
the evidence for this transformation? Look
at the Standard & Poor's 500 500 of the largest companies in the
United States, many of which are not in high tech industries. The market
to book ratio of these companies that is, the ratio between the market
value of these companies and the net asset value of the company (the
number that appears on the balance sheet) is now greater than six. What
this means is that the balance sheet number which is what traditional
accounting measures presents only 10% to 15% of the value of these
companies. Even if
the stock market is inflated, even if you chop 50% off the market
capitalization, you're still talking about a huge difference between value
as perceived by those who pay for it day to day and value as the company
accounts for it. Another
example: John Kendrick, a well known economist who has studied the main
drivers of economic growth, reports that there has been a general increase
in intangible assets contributing to U.S. economic growth since the early
imports: In 1929, the ratio of intangible business capital to
tangible business capital was 30% to 70%. In 1990, that ratio was 63% to
37%. So Intangible assets are becoming more important. But what are Intangible assets? It's
extremely difficult to come up with a comprehensive definition of
intangible assets. I've tried to group them into four categories.
First are assets that are associated with product innovation, such as
those that come from a company's R&D efforts. Second are assets that
are associated with a company's brand, which let a company sell its
products or services at a higher price than its competitors. Third are
structural assets not flashy innovations or new inventions but
better, smarter, different ways of doing business that can set a company
apart from its competitors. And fourth are monopolies: companies that
enjoy a franchise, or have substantial sunk costs that a competitor would
have to match, or have a barrier to entry that it can use to its
advantage. (*
Use this to evaluate your intangible assets! Eric) What
is it about Intangible assets that creates value value that is more
significant than that of tangible assets? The
best way to answer that question is to use another example and here I'm
intentionally steering away from the Web based and high tech companies
that people usually point to, such as Cisco Systems and Amazon.com. Let's
look at American Airlines, or, more accurately, its parent company, AMR
Corp. In
October 1996, AMR Corp. sold 18% of its computer reservations system,
called SABRE, to the public. It held on to the remaining 82%. That one
transaction provides a beautiful way of evaluating tangible and intangible
assets. When I recently checked the market, SABRE constituted 50% of AMR's
value. This is mind boggling! You have one of the largest airlines in the
world, with roughly 700 jets in its fleet, nearly 100,000 employees, and
exclusive and valuable landing rights in the world's most heavily
trafficked airports. On the other hand, you have a computer reservation
system. It's a good system that's used by a lot of people, but it's just a
computer system nonetheless. And this system is valued as much as the
entire airline. Now, what makes this asset the computer system so
valuable? One
big difference is that when you're dealing with tangible assets, your ability to leverage them to get additional business or value
out of them is limited. You can't use the same airplane on five
different routes at the same time. You can't put the same crew on five
different routes at the same time. And the same goes for the financial
investment that you've made in the airplane. But
there's no limit to the number of people who can use AMR Corp.'s SABRE
system at
once: It works as well with 5 million people as it does with its million
people. The only limit to your ability to leverage a knowledge
asset is the size of the market. Economists
call physical assets "rival assets" meaning that users act
as rivals for the specific use of an asset. With an airplane, you've got
to decide which route it's going to take. But knowledge assets aren't
rivals. Choosing isn't necessary. You can apply them in more than one
place at the same time. In fact, with many knowledge assets, the more
places in which you apply them, the larger the return. With
many knowledge assets, you get what economists call "increasing
returns to scale." That's one key to intangible assets: The larger
the network of users, the greater the benefit to everyone. So
that's how intangible assets can create extraordinary value. But is there
a downside to knowledge assets? As my former teacher and colleague Milton
Friedman used to say "There's no such thing as a free lunch."
Knowledge assets are very expensive both to acquire and to develop. And
they're extremely difficult to manage. Look
at the extremely high prices that high tech companies are paying to
acquire smaller companies, as they look for knowledge assets that they can
leverage. On November 1, 1999, Cisco announced that it had acquired Cerent
Corp. for $6.9 billion. For the first six months of 1999, Cerent's sales
totaled roughly $10 million. That's what it can cost to acquire a
knowledge asset. Or look at the high cost of developing a knowledge asset:
In the world of pharmaceuticals, it costs close to $500 million to develop
a new drug. One last example is America Online, which spent nearly $ 5
billion on customer acquisition when it was creating its franchise. That's
what it can cost to create a high barrier to entry. There's
another downside of knowledge assets: Property rights are fuzzy. When it
comes to a tangible asset, such as an airplane, American Airlines doesn't
have much to worry about. No one is going to steal an airplane. But
American Airlines definitely has to worry about someone stealing its
software. The proliferation of thousands upon thousands of very costly
patent infringement lawsuits attests to the difficulty of defining and
keeping property rights when you're dealing with knowledge. And
while the benefits that come with knowledge assets can be enormous, they
are much more uncertain than the benefits of tangible assets. When you
invest in a tangible asset, such as an office building, you always get
some kind of return even during a recession. And when boom times
come, your property really pays off. But when you're building a knowledge
asset, you could quite possibly end up with nothing. Given
the nature of knowledge assets, what is the conflict between these new
assets and the old Laws of accounting? One
problem is that you end up with accounting practices that arc virtually
antithetical to the business practices that they're trying to measure. Let
me give you an example. In 1994 and 1995, America Online capitalized some
of its customer acquisition costs which means that it considered part of
those costs assets. In other words, "When
a big, old company is late in figuring out how to enter the world of
e-commerce, huge value is destroyed ‑but there's no
transaction." AOL
was saying that, in acquiring new customers, it was creating a unique
asset one that would help the company become even more profitable in the
future. Financial analysts called that cheating! It was a new industry,
competition was fierce, and analysts thought that AOL was trying to
manipulate its earnings. Finally, in October 1996, AOL gave up and
completely expensed its $385 million in customer acquisition costs. Today,
AOL has a market value of roughly $140 billion. Compare that with the $385
million that it tried to capitalize, and it's almost humorous! And yet
only five or six years ago, financial analysts were proclaiming that AOL
was a cheat. Or
take, for example, what happened when IBM acquired Lotus in 1995. As an
accounting requirement, IBM had to estimate the fair market value of the
assets that it had acquired. IBM estimated that the portion of Lotus's
R&D that was in process R&D for which there was not yet a product
was worth $1.84 billion. That's 53% of the entire $3.5 billion acquisition
price. IBM expensed the entire thing because those are the rules of
accounting: Once you estimate that something is in process R&D, you
have to expense it. As
a result, no trace of an asset remains. This
kind of mindless writing off of all investments in knowledge assets means
that there is no accountability and no ability to measure the performance
of an investment or to learn from it. And the problem is only getting
worse: Over the past 20 years, as the actual value of companies'
intangible assets has been going up, that value, as it is represented in
financial reports, has appeared to be consistently going down. How
do you account for this failure of accounting? Accounting
is based on the matching principle. To
determine your earnings, you match your revenues against your expenses.
It's that simple that's what an accounting system does. And if the
matching is good, you get a reliable income number. Now
here's the problem: With knowledge assets, you get a complete
mismatch, and the system breaks down completely. Take the AOL
example. During its period of tremendous growth, AOL immediately expensed
all of its customer acquisition costs. So for that period, the company was
showing those costs as big losses. Then, once the customers were acquired,
the company realized large benefits which then increased its income
without any associated costs! So both periods are misstated in financial
reports. Companies
that are on a steep growth curve for example, Internet and biotech
companies ‑are most likely understating their results. And older
companies that have plateaued are most likely overstating their results.
The outcome is a disconnect with the market, which is supposed to reflect
reality. There's
another disconnect between the world of accounting and the world of
knowledge assets: Accounting records transactions, but
much of value creation or value destruction precedes any transaction.
Look at regional telephone companies. In the late 1980's deregulation
started to hit the regional phone system. The old system was based on a
guarantee of a reasonable rate of return for phone companies. The
companies had an assured monopoly and assured profits. The new system was
more open and competitive. Investors
immediately understood the implications of moving from a secure monopoly
to a competitive system: higher risks, lower returns. But the accounting
system didn't reflect any change at all because deregulation is not a
transaction! Five or six years after deregulation began, the Baby Bells
finally said that their assets must be much lower than before, and wrote
Off $27.6 billion of assets. But in the preceding five years, there was an
almost total disconnect between what the company was actually worth, what
the accounting system showed, and what the markets understood. Remember:
This system was invented hundreds of years ago. Luca Pacioli, the monk who
created it, was a genius. He developed a system that is still working 500
Years later. But Pacioli's system is frail. After all, it relies on
transactions. But when you're working with knowledge assets, value is
created or destroyed without making any transaction at all. When
a drug passes its clinical tests, huge value is created but there's no
transaction. Nothing changes hands. Nobody buys anything, and nobody sells
anything. When software passes a beta test, it suddenly becomes valuable
but there's no transaction. Or think about how value is destroyed: When a
big, old company is late in figuring out how to enter the world of
e-commerce, huge value is destroyed but there's no transaction. If something as fundamental as the accounting and financial reporting system doesn't work in the new economy, why hasn't there been a more Vocal call for change? There
are two major barriers to change. The first is an objective difficulty to
this problem: The issue of knowledge assets is inherently uncertain we're
still struggling to come up with a definition that works. And the issue of
intellectual property rights, for example, continues to be fuzzy. There's
no one solution that will eradicate the problem and every new solution
presents new problems. Given "My
recent computations show that Microsoft has knowledge assets worth $211
billion by far the most of any company." The
second barrier to change is an informal coalition that opposes any change
to the current system. Managers love the current system. They don't want
to put anything on the balance sheet that may turn out to be worthless.
Accountants share this love of the current system. If they don't have to
value intangible assets, such as AOL's customer acquisition costs, their
legal liability is reduced. Let's face it: Valuing things that are
inherently difficult to value, and then standing by that valuation when
someone sues you, can be very unpleasant. Institutional
investors and financial analysts are also quite happy with the current
system because they think that they've got inside networks and proprietary
information. They have lunch with managers They visit companies. In doing
so, they feel that they're getting important private information. How
would it serve their interests if that information were made public? So there are some awesome forces against change. If all of these people are against change, then the system must be fine, right? What's the problem? The
problem is that lots of mistakes are being made. For example, I just
finished studying roughly 1,500 companies all of which have significant
R&D investments. About a quarter of these companies arc systematically
undervalued by their investors. And many of them are computer, biotech,
and software companies with substantial R&D but below average
earnings. That means that the cost of capital for these companies is
unusually high and that impedes their growth. The systematic undervaluing
of these companies brings serious economic and social costs to the
companies, to their shareholders, and to the economy. So the problem is
not academic or abstract; it has serious business implications. And
although I do not have the data to prove it, my guess is that many
internal decisions are also deficient because managers, too, are relying
much too heavily on accounting information. What
solutions do you propose to fix that problem? I
think that there are a few remedies none are complete, but all will
help. One is to improve the accounting system. Some people have given up
on accounting altogether. They say that the system is dead and that
something entirely new is needed. To me, that would be a big mistake. I
believe that accounting is still incredibly efficient. So the solution is
not to do away with the old system but to improve it. I don't expect any
breakthroughs but slight amendments that improve on what already exists. One
example: satellite accounts. These can be a set of accounts around the
regular ones that will provide more information about the real value of
assets. The U.S. government, for example, expenses R&D in the
same mindless way that companies do. But the government has also set up
satellite accounts in which it capitalizes R&D. It's not a great
revolution, but it does provide a way to compare things. And
your more revolutionary proposal? Another
remedy requires going outside of the existing system. I've developed a way
to measure knowledge assets, intellectual earnings, and knowledge
earnings. It's a computation that starts with what I call "normalized
earnings and measure that's based on past and future earnings. When you're
dealing with accounting for knowledge, you simply cannot do it unless you
consider the potential for future earnings that knowledge creates.
In fact, that's one of the things that is fundamentally wrong with all of
the other ways we have of accounting for earnings, including improvements
such as EVA [Economic Value Added]: They
are all based purely on history. They are accounting in the past. My
approach looks at the past. But I also
look at the consensus forecasts of analysts. Based on those
forecasts, I create an average, and I call that average normalized
earnings. From those normalized earnings, I then subtract an average
return on physical and financial assets, based on the theory that these
are substitutable assets. Merck & Co., for instance, has lots of
laboratories and manufacturing facilities. The equipment there is not
unique. What is
unique are the people, the patents, the knowledge that is being developed
there. So when I subtract from the total normalized earnings a
reasonable return on the physical and financial assets, I define what remains as the knowledge earnings. Those are the
earnings that are created by the knowledge assets. For
example, my recent computations show that Microsoft has knowledge assets
worth $211 billion ‑by far the most of any company. Intel has
knowledge assets worth $170 billion, and Merck has knowledge assets worth
$110 billion. Now, compare those figures with DuPont's assets. DuPont has
more employees than all of those companies combined. And yet, DuPont's
knowledge assets total only $41 billion‑there isn't much extra
profitability there. Take
a look at other companies where different kinds of knowledge assets make a
big difference: I calculated that Phillip Morris has knowledge assets
worth $16o billion, largely because of its huge brand value. Coca Cola is
also a huge brand, and its knowledge assets are worth $60 billion. I
identified another type of knowledge asset structural capital. Structural
capital is a unique way of doing business. In the case of Dell Computer,
the company doesn't produce computers that are better than other
companies' computers, but the
way in which it markets its computers is entirely different.
Which is why Dell's knowledge capital totals $86 billion higher than that
of Wal Mart. This
is my first measure. I call it a
top down approach because it's an overall measure. According to the
calculations that I've made, it
performs far better than earnings or book value. Is
the top down approach sufficient? To
complement the knowledge measure, we need to identify the drivers of
knowledge. Here's how I think about it: Economic
theory and research tell us that almost all industries share a similar
development pattern. They start out with a large number of companies, and
then, usually after some kind of big innovation, there's a shakeout period
that eliminates many of those companies. (At the turn of the century,
there were more than 100 American car manufacturers; now there are only
2.) During the shakeout, most of the original companies fall by the
wayside even those that previously were large and successful.
General Electric was once a major semiconductor manufacturer, but it had
to get out of the industry when the shakeout hit. So the question is, Who can survive the
shakeout that invariably hits every industry? The
survivors are those companies that have good technology, because they have
the ability to innovate.
For me, technology also includes structural capital like that of companies
like Dell and Home Depot. I'm in the process of developing a technological
capabilities index: an index based on measures that are quantifiable,
publicly available, and linked to value. These aren't stories about good
customer relations, good public relations, or good service but measures
that can be supported by real research. Let me give you an example. Some people use patents as an important knowledge attribute, but to me the number of patents that a company has is not very meaningful at all. You can get patents on almost anything, so simply having a large number of patents is absolutely meaningless. But there are ways to measure the attributes of the patents that have real significance. For instance, one powerful measure of the real value of a patent is how many times subsequent patents refer to it. If you have good science, then people will refer to you a lot, and you'll contribute a lot. My
technological capabilities index is based on measures of inputs, such as
investment in R&D, investment in product development, investment in
information systems; on measures of intermediate outputs, such as patents
and trademarks; on measures of competitive position, such as the
number of people who access a particular Web site; and, of course,
on measures based on the ultimate output commercialization.
Commercialization of R&D is a powerful predictor of a company's
success. Recently, a couple of French economists conducted a study using
data that French companies are required to publish showing the percentage
of their revenue that comes from new products. The results of their study
demonstrate how important commercialization of new products is to a
company's success in the marketplace. These
are just a few examples of a whole system of knowledge and innovation
drivers a system that allows managers to benchmark and to focus on those
things that work or do not work, both of which indicate a company's
knowledge assets. Let's say that I'm not a CFO. How does this accounting disconnect affect me? Why should I care? This
problem affects each of us directly. Both employees and executives are
valued by accounting numbers, such as return on investment or earnings
growth. Bonuses, for example, are often based on these old fashioned
accounting numbers. We need to be aware of the limitations of accounting, and
propose improvements that do a better job of reflecting our efforts and
achievements. There's
another way that accounting problems touch all of us. These
days, most of us are also investors, which means that we must analyze
corporate reports. We are all making investment decisions based on
accounting information that is, at best, limited and, at worst, badly
distorted. All of us need better information so that we can make better
investment decisions. But
the biggest payoff comes from developing systems that improve accounting
and reporting. Last October, for example, Cisco announced that it was in
the process of developing an intranet that will provide users with an up
to the minute look at its books. Systems that give outsiders real time
access to some of a company's data will also be big business. In short,
technology has created far more data than ever before. But
what we all need and what we all need to work on is the
transformation of this data into valuable information and knowledge. |
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