“The Power of Dreams”
Nathan J. Fragala
ECN 350-52
Honda Motor Corp. LTD
04/26/09
Project Phase I Narrative: Honda Motor Company
1.) Honda
Motor Company: Should it Consider Serious Financial Investment in Fuel Cell
Technology?
In recent years
scientists, congressmen, and business leaders have been growing increasingly
concerned with the impact of global carbon emissions. Every year the average
commuter dumps about a thousand tons of carbon into the atmosphere and while dismissed
by some, many believe that this is a major contributor to Global Climate
Change. The impact of these concerns is being felt across a wide variety of
industries and the most deeply affected are beginning to see the potential
benefits of making modifications to their business and firm-level strategies.
Many auto manufacturers, for example, are introducing new hybrid vehicles that
run on a combination of fossil fuels and alternative energy sources such as E83
Ethanol, electricity, and Bio-diesel. As the market continues to make these
shifts towards renewable energy, Honda Motors finds itself strategically
positioned to take center stage in the market for alternative energy because
its foundation is based on a forward
thinking philosophy that emphasizes new ideas, new technology, and new
approaches to old problems. “Dreams inspire us to
create innovative products that enhance mobility and benefit society. To meet
the particular needs of customers in different regions around the world, we
base our sales networks, research and development centers and manufacturing
facilities in each region. Furthermore, as a socially responsible corporate
citizen, we strive to address important environmental and safety issues (Honda. Com).” Since
1946 Honda Motor Company has been an industry leader in the production of small
fuel-efficient vehicles and their corporate ethos of environmental protection
and social responsibility makes them strategically positioned to capture the
market as the industry for engine production begins to fully embrace
alternative energy sources.
The growing
consumer concern about carbon emission represents an Externality in the industry for engine production. Externalities
are the extra costs to society that might impede the success of a strategic
decision despite whether or not that decision makes sound financial sense to
internal stakeholders. Because externalities have effects that are not directly
associated within the organization, many companies either choose ignore or
completely overlook the additional costs it might incur if a decision doesn’t
account for the external environment. Take the Big Three for example. The Big
Three auto manufacturers focused their business models on the production of
large and powerful vehicles because they occupied a strategic market niche,
which made it more efficient for them to produce trucks and SUV’s rather than
small fuel-efficient vehicles. Their infrastructure supported this type of
business model and if all things had remained constant in the industry this
strategic business model would have remained successful. As things began to
change, however, and consumers started to favor fuel-efficiency over power
production the Big Three found themselves unable to adapt as efficiently as the
Japanese auto manufacturers who based their business models on flexibility,
efficiency, and the ability to adapt to consumer demand. Because of a lack of
concern for the obvious external precursors that suggested a shift towards fuel
efficiency the Big Three have had to incur tremendous losses and plead congress
for a $15 billion dollar bailout check (funded by John Q. Taxpayer). Meanwhile,
despite also facing significant losses due to the global economic downturn and
rising costs of oil and raw materials, Honda and other Japanese auto
manufacturers weathered the storm by adapting to the external environment and
adjusting their business models to incorporate shifts in consumer demand.
With only an 18%
difference in market capitalization separating Honda Motor Co. from
auto-industry leader Toyota Honda represents the number two spot in the auto
industry. With six regional Board offices nationwide and a host of supporting
business units facilitating the efficient production of engine components the
decision at Honda to make significant financial investments in fuel-cell
technology would have to be made at the top tiers of its firm-level strategy.
Alignments would have to be made with major fuel cell production companies,
capital budgeting would have to take place, research and development budgets
would have to go up, long-tern capital investments might have to increase
significantly if new production facilities have to be established, and the
entirety of business operations would have to change in order to accommodate
fuel-cell power as a major focus of the company. Having said that, many of the
business-level strategies would need little, if any, modification because much
of the lower operations would stay the same. Honda vehicles would still need
chassis, wheels, suspension systems, exterior/interiors, and because many of
these production processes are already highly refined they would need little
modification to comply with fuel-cell technology. The major opportunity costs
associated with this type of investment would be in adapting its engine
production activities, product design/marketing techniques to influence
beneficial consumer perception, and promoting infrastructural developments that
would support electricity-based power production. In the long run I believe
these types of strategic developments would be successful allocations of
capital because they would allow Honda to maintain a competitive edge over the
competition and get first mover advantages in what is an impending and dramatic
market shift.
The financial
modeling that I intend to pursue with this project involves various industry
and company wide factors that I believe will be most influential in Honda’s
decision to make significant financial investments in fuel-cell/electric power
sources. Short-term liabilities are going to have to be levied in order to
increase the availability of cash that can be used to finance certain
expenditures, the time dimension of
such an investment is to be considered carefully so that Honda can prevent
diminishing marginal returns, any long-term debt is going to have to be managed
effectively in order to accommodate for new facilities, and any risk and
uncertainty that might be associated with such a significant business venture
has to be dealt with accordingly by using basic financial models that
incorporate changes in revenue, liabilities, COGS, and shareholders equity.
It is my belief that if Honda made slight
divestments in certain less-than-profitable business units such as its Formula
1 and Motorcycle Racing activities, its non-engine related technology
developments (ASIMO, walk-assist etc.), and its Power Equipment business unit
the company could generate the necessary funding to support such a capital intensive
strategic decision. As mentioned earlier the firm has to watch out for things
such as diminishing marginal returns, risk and uncertainty, and resource
allocation but I feel that with proper management and continuing support of the
company’s existing corporate philosophy of social responsibility and
environmental protection Honda could really transform the world with its
electricity based power production activities. If their business and firm-level
strategies (based on sound financial modeling) can successfully incorporate
large-scale investments in fuel-cell technologies then eventually other
companies will catch on and the whole industry will shift its focus from fossil
fuels to green energy. A shift this large would constitute a change in the perception big business has in the
profitability of green technologies. This might trigger other industries to
make similar significant investments in things like carbon scrubbers, public
transit, household heating, agriculture, ecological preservation, and global
awareness. Only when capitalist entities see the profitability associated with
this type of Green thinking will they
make significant investments in the promotion of this type of technology, but
in order to do that the process has to be backed up with proven examples of
sound financial models and I think Honda is strategically positioned to take
the first steps.
Project Phase II Narrative:
Honda Motor Company
1.) Multi-Year
Cash flow (5 year): Descriptions and
assumptions for doing business over the course of 5 years.
As the world’s foremost producer of
engines and the second largest auto manufacturer next to Toyota, Honda is in a
class all its own. Its multi-year cash flows rival that of entire nations and
the expansiveness of its daily operations suggests it could likely populate one
as well. This makes expansion one of
the major factors influencing the company’s generic business strategy because
without it Honda couldn’t keep up with the world’s growing demand. By reaching
into supporting industries HMC is able to operate more efficiently than its
competition and provide affordable products without sacrificing quality.
Because expansion is such a major theme of the Honda business strategy I have
modeled the fundamentals of the Honda organization and projected two (5 year)
Cash Flows that explain how certain critical areas of the company’s financial
reports would be adjusted should it pursue $15,000,000 plant expansion through
A, divestment in existing operations, or B, via the incursion of Long-Term
Debt. My models, while extremely comprehensive, are not meant to be exactly
accurate depictions of these two assumptions. Rather, they provide a
hypothetical framework for making decisions and offer corporation-wide visual
representations of the affects these decisions might have.
First and foremost, it is important to
note the structure and flow of the accompanying model so that changes can be
made under the correct conditions and one understands how each table relates to
the next. Under the “Assumptions-Summary Data” tab there are two tables that
depict a myriad of financial datum from R&D and Managerial Costs associated
with doing business to other affected items such as Common Vs Treasury Stock,
P.P.E., Cash, and Long-Term Debt. These represent only a few of the important
areas of the business affected by significant operational decisions but the
ones that I have assembled provide a useful glimpse into some of the system
wide changes that might occur should either of the assumptions be accepted. The
model works by aggregating specific data points and then translating the
assumed numerical changes to other affected areas- ultimately showcasing these
changes on the Income Statement, Balance Sheet, Financial Ratios, and Graphical
Representations sections of the model. The numerical data was forecasted under
a logical thought process but are not meant to be 100% accurate. General
explanations of each numerical projection can be found in a comment nested
within the affected area’s title cell.
Under each assumption there is a table
showing the Unit Sales breakdown for each of Honda’s primary Strategic Business
Units (SBU). For simplification purposes I assumed that each product’s average
price (found by dividing each SBU’s Net Income by its 08 Sales Units) would
remain constant so that consumer demand could be assessed in relation to the
“Factor Changes” rather than the price changes the assumption might or might
not illicit. Price is later assessed in terms of its risk to Unit Sales in a
handy model placed beneath the two assumptions tables. Lastly, “Assumption
Documentation” and “Customer Assumptions” for each table can be viewed in each
assumption by rolling over specific cells contained within the Demand Analyses.
The former is located under the “Factor Change” section and the latter can be
viewed by rolling over the numerical data contained within each table.
Assumption A, “Divestment as a Means of
Funding” is probably the less likely of the two situations because reductions
in other operations would provide the necessary funding for Honda’s plant
expansion rather than the more logical L-T debt incursion. This would reduce
funds for each SBU and likely result in sales reductions across Honda’s product
line. Some important assumptions that were made about this course of action
include reductions in R&D and Direct Labor expenses, increases in cash and
cash equivalents as divestment activities siphon funds from other operations,
and the selling of common stock to generate the remaining cash necessary to
fund the P.P.E. expansion. If you plug in the numbers from Year 3 you can see
that Net Income increases to over $11 million, EPS drops from 18.13 EPS to
13.35 and Honda’s Sales to Net Working Capital skyrockets. Under these circumstances
it is likely that Honda could support the $15,000,000 expenditure because
despite the factor changes Total Sales only dropped by $2 million
Assumption B, “Long-Term Debt” seems like
the more logical of the two assumptions. Since the company is taking out a loan
it will not have subtract funding from other operations to generate cash. This
would keep existing operations functioning at the same pace over the five-year
period and as a result demand for Honda products would remain constant. While
Long-Term debt jumps to about double its existing 2008 amount in year one, over
time Honda is able to pay off the loan and eventually even reduce its previous
debt amount to $15 million as a result of its new found success in “green”
automobiles. Demand remains roughly around 08 amounts in all of Honda’s SBU’s
until years four and five when the new plant begins operations and people start
to demand the new models.
2.) Investments:
description of 5 year capital investments required to grow the business in the
five year time frame that you are modeling.
The decision at Honda to expand its
facilities is one that does not come lightly. Careful analyses of affected
financial areas, future growth potential, financing, and the over all strategic
role a new facility will play in the organization have to be considered before
any investment is to be made. The idea is that expansion into new facilities
offers opportunities for the company to grow its business and operate more
efficiently as a result. The recent plant expansion at Hamamatsu is a great
example of this because in response to existing inefficiencies Honda decided to
consolidate its various transmission related operations and place them under
one roof. This decision not only gave the company greater control but also
allowed the firm to operate more efficiently by reducing inventory costs and
increasing Honda’s ability to match production with demand.
The decision to build a new plant that
will encompass production of alternative energy car components to be
retrofitted onto Honda’s existing products is no small investment, however, I
believe it to be a necessary one for the company to grow over the next five
years and beyond. Alternative energy sources show an extreme amount of potential
and the largest benefits will go to the companies that make significant
investments in them early.
3.) Demand Analysis: describe how you
have forecast your demand (sales) for the entire 5 year lifespan of the model.
Demand is one of the key differences
between Assumption A and B in the model I have designed. Under Assumption A
demand is adversely affected by general reductions in operations where as in
Assumption B the L-T loan incursion allows Honda to keep operations constant,
in-turn preserving demand roughly around its usual amounts. In both cases,
however, demand begins to increase as the new plant is established and begins
operations. This of coarse is under the assumption that the new products are a
success and Honda can market the effectively.
4.) Underlying Economics: a description
of the fundamental economics underlying your revised multi-year business model.
The underlying economics of my model are
simple. As expenses decrease, more cash become available to fund other
initiatives. As Honda begins to tighten funding on its other operations it is
able to generate funds that can be used to finance plant expansion. On the
other hand, increases in long term debt make the firm unfavorably leveraged
which can increase risk and limit the amount of available funds needed to pay
of short-term accounts. In the model cash is directly affected in both
decisions but in the end begins to increase, as the new plant becomes a
success.
The “Price/Demand Risk Assessment” showcases
another fundamental aspect of economics in that as price is increased,
decreased, or kept relatively constant demand will decrease, increase, or
remain the same accordingly. The table allows users to input any change in
price and see the resulting change in demand that would likely occur. Dramatic
decreases in average price result in dramatic increases in Demand Units, slight
decreases equate to slight increases, large increases cause large decreases and
so forth. The changes are then translated to the graphical section of the model
where they are visually depicted as percentages of net sales by business and
unit sales by SBU. Due to the complexity of the model and the threat of
circular reference the price/demand paradigm could not be incorporated into the
assumptions. However, with a little more time I’m confident that I could design
a few more tables that would allow these figures to directly influence other
aspects of the model; it’s just disseminating the flow of data that poses the
initial difficulty.
5.) Risk: description of how risk has
been built into at least two variables assumptions/calculations area including
expected value and variation for downside variables.
One of the most important features of the
model I have created is its flexibility. Just about every primary variable such
as C.O.G.S., Rate information, Loan specifications, Revenue, Debt, Assets,
etcetera can be manipulated and then translated into the rest of the model.
Increases in price by a large enough amount have the demand risk built right
into the table. Complex formulas are intertwined with cells tied together in
sometimes double-digit amounts so that specific data will adjust every related
account and provide users with a system wide picture of how simple changes can
make big differences. While the Price/Demand Risk Assessment table is the
primary representation of how risk can adversely affect the organization, the
Adjustable Summary Data table also deals with risk in that changes to primary
variables will affect every secondary variable and ultimately allow users to
see which changes present the most risk. For example, if Honda decides to
increase its R&D expense by 1.10% its Net Income drops by over a million
dollars and its common stock EPS drops by almost 20%. While these numbers are
not meant to be completely accurate they prove that R&D, which is a
variable expense with Total Sales, is a highly volatile expense percentage and
should be monitored carefully. The same can be said about any other account on
the Adjustable Summary Data table for is any factor is varied to a considerable
degree users are able to see directly how changes in one critical area affect
the others. My only regret is that I could not model Total Sales directly into
my projected demand for each assumption. Total Sales of each assumption must be
viewed in the graphical section of the model and then applied to the summary
data after the factor changes have been inputted.
6.) Scenario Analyses: a description of
three different scenarios (sensitivity) analyses, including what you have
learned from the model (findings) and how the key variables impact your model.
This question
is a great follow up to the previous one. The initial idea of my model was to
have all of the information tied together in one wholly seamless model.
Assumption and Price/Demand risk would not be left out; rather they would show
the exact factor changes that would result from a system wide change dictated
by the scenario manager. At the time I even tailored by Summary Data to
encompass exactly 32 different factors in 32 different cells, which was the
maximum amount the scenario manager can manipulate at one time. However, as I
later found out the Scenario Manager takes all of your formulas and makes them solid-state
so that they no longer control the rest of the formulas you have attached them
to. This made it impossible to have a set of scenarios that could be
categorized as “Successes”, “Failures”, or “Possible Considerations.” But
despite the Scenario Manager’s incompatibility I was able to create a model,
although slightly more complex, that allows users to input any scenario the
want and see the direct effect it will have on the organization.
One of the most significant scenarios to
be considered at Honda is a price change in any of its products. Take
Automobiles for example. At an average price of $24,143.43 the company
generates approximately $94.5 million USD, which represents 80% on Honda’s Net
Sales. If a decision were made that increased the average price of Honda automobiles by $857, making it an even
$25,000, Net Income would increase by almost $4 million dollars and Common
Stock EPS would jump 34% to $24.61 per share. This doesn’t mean that consumers
would have to pay an extra $900 on every vehicle- the price is an average.
Honda could increase the price primarily on its luxury vehicles because this
demographic of consumers is less affected by changes in price and only slightly
raise the costs of its other vehicles. The same principle can be applied the
firm’s entire product line. A $40 USD increase in the average price of
motorcycles would increase revenues by half a million dollars. This represents
how sensitive revenues are to price changes and showcases how small decisions
can have big impacts.
Another scenario to be considered is a
change in the Minority Interest Rate. This amount is surprisingly volatile as a
2% increase results in an increase of $100 k dollars in total liabilities and a
pretty significant EPS drop. It is not unlikely that a slight change in rates
will occur and Honda needs to be aware of rate change impacts.
A final scenario to consider is if demand
doesn’t pick up after the new plant is established. If demand stays the same or
even drops Honda faces significant losses in income but more importantly the
long-term unprofitability of the new plant. This venture is a large commitment
by the company and its success rest on its ability to stimulate demand. If
demand cannot be generated Honda might have to abandon the plant expansion
early before it cant recoup the majority of its losses. Whatever the scenario may be, this model is
designed to show the interrelated affects of certain financial information and
translate those changes in a comprehensive manner. Numbers and figures do not
accurately represent any particular circumstance; rather they provide a
framework that supports financial modeling.
7.) Economies of scale/scope/learning
curve identify at least one major assumption based on one of the concepts and
describe the impact on the outcome of the model.
Such a
significant plant expansion at Honda would yield tremendous benefits to the
organization. Honda is already known for its dynamic operational strategy and
is considered by many as the one company furthest along the engine production
learning curve. A major part of its success is the company’s comprehensive
collection of SBU’s that range from small two stroke weed whacker engines all
the way up to high performance Formula 1 racing engines. Honda is actually the
only producer of generic Formula 1 engine components because the company is
produces the best engines and is the only producer with an economy of scale
large enough to supply them at price no other competitor can match.
Affordability without sacrificing quality is a major theme that drives Honda
Motor Company and it is my belief that P.P.E. expansion into the production of
alternative energy engine components is an inevitable change coming to the
company. This type of expansion would likely result in Honda gaining
proprietary knowledge that would further advance their position along the
learning curve and ultimately contribute to the firm’s scaled economy as the
world latches on to these new technologies.
As Honda
established itself as the world’s leading (if not foremost producer) of
alternative energy vehicles by creating the new facility and aligning itself
with major suppliers, its revenues would likely skyrocket only to be offset by
the large initial investment. The model would have to encompass supplier
relations, new product lines, and likely some form of division between fossil
fuel and alternative energy products and components. This division would allow
the company to see how successful the new SBU is in direct comparison with its
existing operations.
Project Phase III Narrative: Honda Motor Company
For this modeling
project I have decided to create a basic financial model that maps some of the
most critical aspects of the Honda Motor Company. The reason I have done this
is to provide users with a broad financial analysis and help them understand
how incremental changes in specific financial datum will impact other areas of
the business to the benefit or the detriment of the entire company. Through the
use of formulas, tables, and charts I have attempted to illustrate a
hypothetical situation where Honda decided to take out a $15,000,000 loan to
fund the development of a new facility that would produce vehicles powered by
hydrogen fuel cells. The model uses certain realistic assumptions based on
existing empirical data so while it is not meant to be 100% accurate it does
provide a useful tool to aid in managerial decision making.
Through my
experience in developing the model I gained certain insights into the company
that have helped me better understand how the industry in general works and
while Honda has a notably wider focus on other manufacturing activities, these
insights are likely applicable to the majority of other industrial
manufacturers. Probably the most significant finding of the model was the
inelasticity of Honda prices against changes in Raw Materials costs. As is
likely the case for many auto manufacturers, Honda gets around this by
expanding upstream and acquiring stake in raw materials providers so they have
more bargaining power and control over prices. Nevertheless, Honda’s costs are
extremely susceptible to changes in its major raw material prices so the
company must do what it can to secure supply and hedge its losses should a
major price spike occur.
Another important
factor of the model is the sensitivity of consumers to product price increases.
A Price/Demand Risk Assessment formula calculates the changes in demand that
result from significant increases or decreases in individual product prices;
large jumps in price drop demand according to their severity where as price
decreases denote demand increases. Using this feature of the model managers can
determine how much markup they want to apply to specific products and find a
medium between Total Unit Sales and Average Per Unit Costs. The conclusion based on the model suggest
that if Honda were to make significant investments in alternative energy
sources and increase production to encompass “green” automobiles, then the
company would show consecutive increases in Total Revenues and likely remain a
major automotive and power production competitor for years to come.
With as primary
focus in auto manufacturing and a significant existing market share, Honda has
no problem sustaining its Cash Flow over time. Even with a minimum Cash Balance
of $5,000,000 Honda maintains an Excess
Cash Balance significant enough to cover any unexpected cash requirements that
might appear.
Once the model
was taken out over a 5-year period I incorporated some Adjustable Data that
would allow users to forecast changes in demand. Based on industry average
Annual Unit Increases of between 2% and 5%, each of Honda’s primary SBU’s
generate an increasing amount of revenue. Based on these assumptions (all of
which can be adjusted) we can see that as Hondas Operating Income increases the
company’s Expense Percentage of Income actually decreases over time as unit
sales begin to trump manufacturing expenses. It seems that if Honda could
continue to make slight increases in total unit sales over time, through
advertising or product incentives, the company could actually use lower
production costs to generate more sales- like the snake eating its own tail the
company could secure its long-term sustainability by keeping demand high and
lowering costs with the excess revenue amounts (I would explain this more but
it’s 11:30 and I have to submit this NLT 11:55!)
Prices are driven
by total unit production costs and a Markup % determined by the user. Increases
in Markup might increase revenues but too much will lower demand.
The first few
tabs of the model provide infinite Scenario Analysis options but some of the
one I thought were most critical were the maximum increases to Markup
percentages that would not result in decreased demand and the changes to total
production costs that result from increased Raw Materials expenses. The former
showed that Markup on Motorcycles is the most flexible because Honda has a
devoted consumer following that would likely shoulder increased prices based on
the value they perceive with the product. The latter shows that Honda should
maintain its supply chain relations and secure as far into the future as it
can. This way, dramatic changes in Raw Materials costs would have (as) an
immediate effect on Honda as it will its competition.
The Balanced
Scorecard incorporated in the model provides a reference to some important
“Value” based metrics that the company should monitor. These metrics allow
Honda to see how much value consumers associate with the company and
accordingly determine how elastic they are to price fluctuations.
The Future
Opportunity tab of the model allows users to model any changes in demand and
the resulting changes in revenue that might occur as Honda launches a new
“green” line of automobiles. Based on the assumptions provided it seems the
company would do well to make early and significant investments in alternative
energy sources.
*Note- Please take your time to really explore
the model professor Nix because I worked really hard on this and stuck with it
throughout the semester. I didn’t want to let it go and I did my best to create
something that’s functional and (hopefully) meets all the requirements of the
assignment. Thanks again for understanding and I’ll see you on Thursday.

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