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Boeing 777 – A Financial Analysis of New Product Launch Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

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Page 1: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Boeing 777 – A Financial Analysis of New Product Launch

Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Page 2: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Case Overview

• Boeing• World’s leading manufacturer of commercial jet aircraft• Historical 54% market share• 2 principal segments: defense & commercial aircraft• Sales of $27 Billion and expected profits of $1.4 Billion

in 1990• 50% profit increase from 1989

• Main competitors: Airbus Industries & McDonnell Douglas

• Oct 1990 = CEO, Frank Shrontz announces Boeing 777 launch

• Shrontz’s mission: Raising Boeing’s ROE of 12%

Page 3: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Case Overview

• Boeing 777 • 350-390 Passengers• International travel• Can travel up to 14000 kilometers• First delivery in May 1995• $130 million per plane • Fastest growing market segment (seats & distance)

• Expected increase in airline traffic of 5.2% over next 15 years

• Forecasted 10.6% growth in traffic to Asia

• Kuwait Invasion• Political & economic uncertainties• Increase in oil prices and decline in airlines travel

Page 4: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Profitability Measures

• Improving ROE = Accounting measure of increasing shareholders wealth

• To improve ROE:• a) Increase Net Income• b) Reduce Total Book Equity

• Better measure is CF to shareholders (dividends, capital gains). 777 contribution to CF is relevant.

• According to projected cash flow: • Negative cash flow: First 5 yrs (decrease in ROE)• Projected positive cash flows for remainder of project

• If Boeings projections hold 777 project will significantly increase Net Income, ROE.

Page 5: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Why Is The 777 Important?

• Meets market need for medium to large aircraft• 5.2% annual increase in airline traffic by 2010• 350-390 passengers; travels up to 7600 miles

• Expected sales of 1000 Units in first 10 years• Sales price of $100-$130 Million

• Most Flexible and Cost efficient • Fly by wire technology

Page 6: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

SWOT Analysis

Strengths Weaknesses•Boeing has a 50% market share

•Carry up to 390 passengers ; 7600 miles

•Fly by wire technology

•Estimated savings in R&D spending of 20%

•Involvement from engineering and airlines to ensure customer satisfaction

•Folding wing tip technology

•$97 Billion in backorders on aircrafts

•Only firm order received by United Airlines

•Large capital expenditures on manufacturing facilities and training (estimated $2.5 Billion)

•Estimated 10-20 Years to break even

•Risks of depleting book value of equity if not successful

Page 7: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

SWOT Analysis

Opportunities Threats

•Annual Increase in Airline traffic of 5.2% . 10.6% in Asian market

•Aging Aircrafts - Replacement value of 642 large aircrafts

•Competition in niche market (Airbus Industries and McDonnell Douglas)

•Competition may cause decrease in price ($130M to $100M)

•Unknown length of war

•Unstable political and economic climate

•Increase in oil prices – decrease in airline travel and cancellation of orders

Page 8: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Determine Boeing’s WACC

And followed a stepwise approach:(1) Calculate Boeing’s commercial aircraft

division b(2) Calculate Boeing’s Cost of Equity (3) Calculate Boeing’s Cost of Debt(4) Calculate Boeing’s WACC

To determine the appropriate WACC we used following formula:

( )trrr debtquityWACC -´+= 1V

D

V

E e

Page 9: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Boeing’s Commercial Aircraft Division b

• Reference market portfolio selection• S&P 500 selected (Boeing listed in S&P 500, index

represents a close group of peer large cap US companies)

• Reference time interval selection• 12 months β selected because : • 12 months data reflects current market conditions.• 58 month data would provide an outdated picture• 60 days data strongly biased by short term fluctuations.

Page 10: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Boeing’s Commercial Aircraft Division b

• Calculate unlevered b’s for three “pure play” defense aviation companies (Grumman, Northrop and Lockheed).

equity

debtt)-(11

leveredunlevered

+=

bb

Grunman Northrop Lockheed% Revenues From Defence 0.87 0.89 0.85S&P 500 12 Month Beta Levered 0.73 0.72 0.69Market-Value D/E 1.756 1.288 1.182Tax Rate 0.34 0.34 0.341+ (1-T)* D/E 2.15896 1.85008 1.78012Beta Unlevered Defense division 0.338 0.389 0.388

0.372Average Beta for Defense for All 3 Defense Companies

Page 11: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Boeing’s Commercial Aircraft Division b

• Re-lever the average b to reflect Boeings capital structure and obtain Boeings defense division .b

• Calculate Boeings commercial aircraft division busing following relationship:

b commercial = 1.719

( ) 376.00.018 0.34)-(11372.0equity

debt t)-(11 defense =´+´=÷÷

ø

öççè

æ+´= unleveredbb

commercialdefense bbb ´+´= commercialdefenseBoeing %%

Page 12: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Determine Cost of Equity

• From Boeing’s defense division b we can calculate the cost of equity using the Capital Asset Pricing model.

• Risk free rate = 8.82 % (long-term U.S Treasury Bonds)

• Market risk premium = 5.4% (64 year geometric average equity-market risk premium)

%10.18719.1.054)0( 0882.0) - ( e =´+=´+= commercialfreemarketfreequity rrrr b

Page 13: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Determine Cost of Debt

• Estimate cost of debt using market rates of Boeing’s corporate bonds.

• Boeing’s long-term debt consist entirely of two bond issues

• Calculate weighted average of the market rate these two issues to arrive at a combined rdebt:

221 bond

bond2bond1

21 bond

bond1

V

V

V

V bonddebt rr r ´+´=

++

%67.90931.0375.234

37 .09730

375.234

234.5 =´

++´

+=debtr

Page 14: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Weighted Average Cost of Capital (WACC)

( )trrr debtquityWACC -´+= 1V

D

V

E e

• Insert values for rdebt, requity and the relative equity and debt proportions:

( ) %89.1734.01%67.9271.514896.76

271.5 18.10%

271.514896.76

14896.76 =-´´

++´

+=WACCr

%89.17 =WACCr

Page 15: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Impacts of Economic Climate and Impending War

Long Term Impacts

• β is a weighted sum of β’s for each division:• Changes in revenue from each division will affect β of each

division

• Factors affecting Commercial Division’s β:• Long-Term economic growth due to war spurring

commercial air travel

• Factors affecting Defense Division’s β:• Increased demand for and spending on defense products

by government due to war

Page 16: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Impacts of Economic Climate and Impending War

Short Term Impacts

• Events in Kuwait led to increase in fuel prices• Increased expenditure for airlines leads to price

increases for customers• Temporary dip in passenger air traffic• Temporary decrease in demand for Boeing’s

commercial division

• Since the Boeing 777 project is 35 year long project, long-term impact is more relevant

Page 17: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Revenue/Cost Scenarios & Project Profitability

Key Assumptions

• Key Assumptions Impacting Cash Flow:

• Revenue Assumptions:• Sales Price• Sales Volume

• Expenditure Assumptions:• R&D (as % R&D Expense / Sales)• GS&A (as % GS&A Expense / Sales)

Page 18: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Revenue/Cost Scenarios & Project Profitability

Sensitivity AnalysisRevenue Assumptions: Sales Volume and Sales Price

Extreme Low Expected Extreme High

Sales Volume (Units) 700 1000 1200

Sales Price ($ Millions) $100 $130 $130

IRR 13.9% 18.9% 20.6%

WACC = 17.894 %

Page 19: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Revenue/Cost Scenarios & Project Profitability

Sensitivity Analysis

Extreme Low Expected Extreme High

% GS&A/Sales 7 4 1

% R&D/Sales 5 3 1

IRR 13.5% 18.9% 23.5%

WACC = 17.894 %

Expenditure Assumptions:%R&D/Sales and %GS&A/Sales

Page 20: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Revenue/Cost Scenarios & Project Profitability

Assumptions and Real World Forces

• Revenue Assumptions: PESSIMISTIC Impact

• Sales Price: McDonnell Douglas/Airbus Industries competition (Sales Price = $100M)

• Sales Volume: High gas price reduces demand to 700 units

• Expenditure Assumptions: OPTIMISTIC Impact

• R&D: Boeing could leverage defense knowledge (R&D reduced by 20% = $3.2-$4M or 2.6% R&D Expense/Sales)

• GS&A: None specified, assume at baseline (GS&A = 4%)

Page 21: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Revenue/Cost Scenarios & Project Profitability

Revenue Assumptions: Pessimistic

• Pessimistic Sales Price = $100M• Pessimistic Sales Volume = 700 units

Pessimistic Price Only

Pessimistic Volume

Only

Pessimistic BOTH Expected

Sales Volume (Units)

1000 700 700 1000

Sales Price ($Millions) $100 $130 $100 $130

IRR 16.1% 16.3% 13.9% 18.9%

WACC = 17.894 %

Page 22: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Revenue/Cost Scenarios & Project Profitability

Expenditure Assumptions: Optimistic

• Optimistic %R&D Expense/Sales = 2.6%• Optimistic assumes baseline GS&A at expected = 4%

Optimistic %R&D Expense/Sales Expected

% GS&A/Sales 4 4

% R&D/Sales 2.6 3

IRR 19.5% 18.9%

WACC = 17.894 %

Page 23: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

DCF Analysis of Boeing 777

• DCF Analysis supports Boeing 777 Project

• IRR = 18.9 % (expected case) > WACC = 17.894 %

• Real World Forces may impact Key Assumptions, however some Pessimistic Forces likely Short Term

• Revenue Assumptions – PESSIMISTIC

• Expenditure Assumptions – OPTIMISTIC

Page 24: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

DCF Analysis of Boeing 777

Limitations of DCF Method• Static Model

• Static assumptions projected for entire project – unrealistic

• Real World Factors create uncertainty in modeling:• External Threats (including competitive landscape)• Interaction/Interdependence of divisions/projects on one another• Organizational Learning/Efficiency, Reduced Expenses Over Time • Sunk Costs

• The Boeing 777 Case Specifically:• Competition and sales• Organizational learning and R&D expense• Ignores sunk costs of R&D expenses prior to October 1990

Page 25: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Recommendations

• Continue to innovate and invest

• Need to update fleet and replace aging products

• Decide which investment is correct:• Boeing’s 777 fills a gap and serves a fast-growing Asian

market• 777 project IRR’s range from 13.6% (pessimistic) to 23.6%

(optimistic) while discount rates range from 10% - 20%• Project IRR exceeds baseline discount rate

• The above data supports the strategic advantages of investing in the Boeing 777 launch

Page 26: Alexis Heideck ● Eduardo Lioy ● Jonas Angeles Keya Williams ● Ritwik Malvi

Thank YouAlexis Heideck ● Eduardo Lioy ● Jonas Angeles

Keya Williams ● Ritwik Malvi