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Thinking about ROIC and Growth

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Empirical Analysis of ROIC ROIC Over Time: Non-Financial Companies Distribution of ROIC: Non-Financial Companies Median ROIC by Industry Group ROIC Segmented by Size ... – PowerPoint PPT presentation

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Title: Thinking about ROIC and Growth


1
  • Thinking about ROIC and Growth

2
Empirical Analysis of ROIC
  • Through this point, we have examined a general
    model of value creation using economic theory and
    case studies. But how does ROIC and growth
    behave on an aggregate empirical basis?
  • To answer this question, McKinsey Company
    analyzed the corporate performance of more than
    5,000 US-based non-financial companies for a
    period of 40 years (1963 2003).

KEY FINDINGS
Median ROIC between 1963 and 2003 9 Percent
of companies between 5 and 15 ROIC 50
  • Also, median ROIC differs by industry and growth,
    but not by company size.
  • And individual-company ROICs gradually regress
    toward medians over time but are somewhat
    persistent. Fifty percent of companies that
    earned ROICs greater than 20 percent in 1994 were
    still earning at least 20 percent 10 years later.

3
ROIC Over Time Non-Financial Companies
  • Since 1986, the ROIC spread across companies has
    gradually widened, driven primarily by companies
    at the top end.
  • Companies with strong barriers to entry have
    achieved increased profits from drops in raw
    material prices and labor productivity.
  • When measured with goodwill, the spread does
    not widen. This implies that top companies are
    purchasing other top performers yet paying full
    price for the acquired performance.

Annual ROIC without goodwill
Average
15.3
Percent
9.0
5.0
Annual ROIC with goodwill
Average
13.6
Percent
8.3
4.7
Source Compustat, McKinsey Companys
corporate performance database
4
Distribution of ROIC Non-Financial Companies
  • 84 of all ROIC observations were below 20.
  • If your forecast model requires an ROIC gt 20 to
    generate value, how skeptical should you be?

Annual ROIC without goodwill, 1963-2003
Percent of sample
lt-10.0
-5.0
0.0
2.5
5.0
7.5
10.0
12.5
15.0
17.5
20.0
25.0
30.0
35.0
40.0
gt40.0
22.5
ROIC
Percent of observations below ROIC level
5
7
11
15
25
42
56
66
74
80
87
89
92
94
95
100
84
Approximately 50 of the sample is within ROIC
range of 5-15
Source Compustat, McKinsey Companys
corporate performance database
5
Median ROIC by Industry Group
  • ROIC varies by industry, whereas industry
    performance is quite stable. Therefore, industry
    membership can be an important predictor of
    forecasted performance.

Amounts in Percent
The majority of industries had median ROICs
between 9 and 12
Source Compustat McKinsey Companys
corporate performance database
6
ROIC Segmented by Size and Revenue Growth
  • ROIC appears to be positively correlated with
    revenue growth, but has no relation to size.
  • This does not mean that growth causes strong
    performance, but rather that certain underlying
    factors enable both growth and ROIC (e.g. fast
    growing industries need not compete on price to
    grow revenues).
  • Size shows no clear relation with ROIC.
    Efficiency gains from scale may be outweighed by
    bureaucratic inefficiencies or other
    inflexibilities.

Annual ROIC without goodwill, 1963-2003 Percent
Revenues
200-500 M
500-1,000 M
1,000-2,500 M
lt200 M
gt2,500 M
5.2
6.0
6.5
lt0
8.0
7.7
8.0
8.1
9.1
0-5
ROIC increases with higher growth rate
8.9
9.3
9.6
9.5
10.3
3-year real growth rate
5-10
10.8
10.9
11.2
10.9
11.8
10-15
11.9
11.1
11.7
11.5
11.9
15-20
11.9
11.8
11.8
gt20
No clear relation between size and performance
Source Compustat, McKinsey Companys
corporate performance database
7
ROIC Decay Analysis Non-Financial Companies
  • ROIC demonstrates a pattern of mean reversion.
    Companies earning high returns tend to gradually
    fall over the next fifteen years and companies
    earning low returns tend to rise over time.
  • However, there is a continued persistence of
    superior performance beyond ten years. ROIC
    does not fully regress to the aggregate median of
    9 percent.

Median ROIC of portfolio
ROIC Percent
Percent
gt20
15-20
10-15
5-10
lt5
Number of years following portfolio formation
Source Compustat McKinsey Companys
corporate performance database
8
ROIC Decay Analysis Consumer Staples Industry
  • When benchmarking historical decay, it is
    important to segment by industry. For example,
    companies in the consumer staples industry
    regress much more slowly than companies overall.
  • In the consumer staples industry, even after 15
    years, the original class of top performers
    outperform the worst performers by more than 13
    percent.

Median ROIC of portfolio
ROIC Percent
Percent
gt20
15-20
10-15
5-10
lt5
Number of years following portfolio formation
Source Compustat McKinsey Companys
corporate performance database
9
ROIC Transition Probability (1994-2003)
Companies with ROICs between 10 and 20 show
little persistence, landing in any group with an
equal probability
43 of companies with ROIC of lt 5 in 1994 still
have an ROIC of lt 5 ten years later
ROIC in 2003
Total
lt5
5-10
10-15
15-20
gt20
50 of companies with ROIC of gt20 in 1994 still
have ROIC of gt20 ten years later
lt5
100
5-10
ROIC in 1994
100
10-15
100
100
15-20
gt20
100
Source Compustat McKinsey Companys corporate
performance database
Transition probability analysis confirms that
ROIC shows considerable persistence, especially
at high and low ROIC performance levels
10
Empirical Analysis of Corporate Growth
  • Through this point, we have examined how ROIC
    behaves over time. But how does corporate
    revenue growth behave on an aggregate empirical
    basis?
  • To answer this question, McKinsey Company
    analyzed the corporate performance of more than
    5,000 US-based non-financial companies for a
    period of 40 years (1963 2003).

KEY FINDINGS
  • Median revenue growth rate between 1963 and 2003
    equals 6.3 in real terms and 10.2 percent in
    nominal terms. Real revenue growth fluctuates
    more than ROIC, ranging from 1.8 in 1975 to
    10.8 in 1998.
  • High growth rates decay very quickly. Companies
    growing faster than 20 in real terms typically
    grow at only 8 percent within five years and 5
    percent within ten years.
  • Extremely large companies struggle to grow.
    Excluding the first year, companies entering the
    Fortune 50 grow at an average of only 1 percent
    (above inflation) over the following fifteen
    years.

11
Revenue Growth Over Time Non-Financial Companies
  • The annualized median (real) revenue growth rates
    between 1963 and 2003 equals 6.3. This is quite
    high, especially when compared to U.S. GDP growth
    of 3.3
  • Why the difference? The sample only includes
    public companies, and GDP growth fails to capture
    international growth of domestic companies.
  • Median revenue growth demonstrates no trend over
    time.
  • Beginning in 1973, ΒΌ of all companies actually
    shrank in real terms in a given year.

Source Compustat McKinsey Companys
corporate performance database
12
Revenue Growth by Industry Group
  • Real revenue growth varies dramatically by
    industry. Unlike ROIC, rankings of industries
    based on growth vary over time.

Source Compustat McKinsey Companys corporate
performance database
13
Revenue Growth Decay Analysis
Median growth of portfolio
  • Growth decays very quickly for the typical
    company, high growth is not sustainable.
  • By year five, the highest growth portfolio
    outperforms the lowest-growth portfolio by less
    than 5.
  • Although ROIC is persistent (high ROIC companies
    often continue to generate high ROIC), growth is
    not.

Revenue growth Percent
Percent
gt20
15-20
10-15
5-10
lt5
Number of years following portfolio formation
Source Compustat McKinsey Companys corporate
performance database
14
Average Revenue Growth Rate for the Fortune 50
  • Most large companies struggle to grow once they
    reach a certain size. Consider the real revenue
    growth rate for companies entering the Fortune
    50.
  • Although growth is strong before companies enter
    the Fortune 50, growth drops dramatically after
    inclusion. During five of fifteen years after
    inclusion, Fortune 50 companies actually shrink
    (in real terms)!

Source Corporate Executive Board, Stall
Points Barriers to Growth for the Large
Corporate Enterprise, 1998
15
Revenue Growth Transition Probability (1994-2003)
  • But are there some companies that can growth
    faster than the norm? In short, the answer is
    no. An analysis of transition probabilities
    shows that most companies growth at less than 5
    ten-years later, regardless of their initial
    growth rate.

Over 50 of companies in each revenue growth
category in 1994 had lt5 revenue growth ten years
later
Only 21 of companies with 20 or greater revenue
in 1994 have at least 15 revenue growth ten
years later
16
Closing Thoughts
  • When building a DCF model, we too often become
    caught up in the details of financial statements
    and forget the economic fundamentals a companys
    value is driven by ROIC and revenue growth.
  • Therefore, it is critical to benchmark your
    forecasts of ROIC and growth against
    economy-wide, as well as industry-based,
    empirical data.
  • A companys ROIC will only exceed WACC for an
    extended period if it has a competitive advantage
    with barriers to entry and imitation. High ROIC
    is typically driven by the ability to charge a
    price premium, low costs, or efficient use of
    capital. Empirically speaking, ROIC over time
    reverts to the mean, but companies can
    persistently achieve high ROICs.
  • Conversely, few companies can sustain high growth
    for periods greater than five years. Even
    Fortune 50 companies struggle to maintain revenue
    growth, shrinking in five of the fifteen years
    following entrance into the elite group.
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