Langtry Falls Expansion Plan UV7508 Jul. 25, 2018 Langtry Falls Expansion Plan Roxanna Garner had spent a decade transforming Langtry Falls (Langtry) from the small regional equestrian-leather-goods...

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Langtry Falls Expansion Plan UV7508 Jul. 25, 2018 Langtry Falls Expansion Plan Roxanna Garner had spent a decade transforming Langtry Falls (Langtry) from the small regional equestrian-leather-goods company her grandmother had founded to a fast-growing, high-end leather-fashions business. The shift in focus from chaps and bridles to handbags and device cases had not been difficult. Many of Langtry’s suppliers spanned both worlds, and the workers who manufactured Langtry branded goods in its Texas studio embraced the shift in output. Furthermore, the focus on quality and artisanship that had established Langtry’s original reputation was a great selling point and differentiator in the fashion business. The real struggle was the shift in competition—the equestrian-goods market was fragmented, and reputation was built regionally by word of mouth, whereas Langtry now competed in a space dominated by large global brands that spent heavily on production efficiencies and advertising. Langtry’s history and future were very much on Garner’s mind when she sat down in summer 2017 to consider a major expansion in its production facilities. Over the last six years, the company had been growing steadily, at times even briskly, despite a weak economy both locally and globally. The planned expansion was intended to position the company to handle anticipated growth in its most successful self-manufactured product lines. These were, however, exactly the product lines that competed most directly with the major luxury brands, and price competition was fierce. Yet despite that competition, Garner was quite certain that Langtry would perform well and achieve the returns she expected from the expansion investment. What troubled her was whether those returns would be sufficient to generate support for the expansion among Langtry’s board of directors. That debate, she was certain, would come down to establishing the right benchmark. Langtry Market Langtry had a devoted following. Products sold well both through third-party catalogs and at retail outlets (Langtry branded products had a high retail sell-through rate and often inventory was sold out at some locations). However, Langtry had already priced its goods at the highest end of offerings in each category and expected it would have to slightly lower its average prices to achieve anticipated growth. This would be accomplished by introducing new and more affordable products within established product lines without lowering the prices of Langtry’s existing flagship products. Langtry did not enjoy the economies of scale that its competition did given Langtry’s relatively small size and local supply chain. For this reason, per-unit costs of sales were high. On the other hand, Langtry did not need to invest as heavily in marketing and distribution, so per-unit selling expenses were low, and Langtry’s reputation allowed it to charge slightly higher prices. The net result for Langtry was margins similar to industry averages. Over the last three years, Langtry realized 12% on sales after accounting for both the costs of goods This case was prepared by Marc. L. Lipson, Robert F. Vandell Professor of Business Administration. It was written as a basis for class discussion rather than to illustrate effective or ineffective handling of an administrative situation. Copyright  2018 by the University of Virginia Darden School Foundation, Charlottesville, VA. All rights reserved. To order copies, send an email to [email protected]. No part of this publication may be reproduced, stored in a retrieval system, used in a spreadsheet, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or otherwise—without the permission of the Darden School Foundation. Our goal is to publish materials of the highest quality, so please submit any errata to [email protected]. For the exclusive use of J. Bates, 2020. This document is authorized for use only by Jennifer Bates in FNCE 6310 Financial Decisions and Policies Spring 2020 taught by John Byrd, University of Colorado - Denver from Jan 2020 to Jul 2020. mailto:[email protected] mailto:[email protected] Page 2 UV7508 sold and the company’s selling, general, and administrative expenses. The average profit margin (net income over sales) was just over 7%. Expansion Plan Garner had presented the expansion plan to Langtry’s board of directors at a late-spring meeting. The composition of Langtry’s board of directors reflected Langtry’s ownership. The Garner family still owned 20% of the company (Garner herself had an 8% stake), and one private equity fund, Big Sky Partners (Big Sky), held 30%. The remaining 50% was dispersed across a set of wealthy and well-connected Texas and Kansas families, none with more than a 5% stake. No one on the board had challenged Garner’s assumptions related to the unit sales growth underlying the expansion. The board knew this industry well and was very familiar with Langtry’s success in the markets in which it planned to expand. If anything, the board believed that unit growth would be larger than anticipated. Similarly, no one had challenged Garner’s estimates related to the rather sizable investment in plant capacity. Much of that was related to increasing floor space and the purchase of standardized production equipment. All agreed that the new product offerings and their price points were acceptable and appropriate. All told, there was little disagreement on the drivers of the expansion’s cash flows and, therefore, on the cash flow forecast. The real focus of the discussion was whether the expansion’s resulting return justified the investment. Based on the forecasted cash flows, the ROI (the internal rate of return on cash flows) was about 8.5%. Two board members had staked out opposing views as to whether this was sufficient. Chuck Connors, a former banker who had deep roots and ties to Texas and who was a board member for a variety of businesses both large and small, was enthusiastic about the expansion. He argued that policies meant to stimulate sluggish economies had led to a sustained period of low interest rates. Even the recent interest rate increases in the United States still left rates extremely low by historic standards. As a result, many investors were searching for any and every opportunity to earn respectable returns, and by this standard, the expansion looked great. Connors said: You can’t ignore what is going on in the economy. Every investment must be evaluated against the best alternative use of resources and those are, frankly, pathetic. Just look at the 10-year US government bond returns. Right now investors are getting just over 2%! The returns we can earn on this expansion are the envy of every investor out there. Marie Windsor represented Big Sky and was the board member most familiar with the retail market, having been the CFO of a medium-sized retail chain before moving to her current position. She did not believe that this expansion would realize the goals of Langtry’s investors. By historic standards, the return was nothing to be excited about. Windsor said: Big Sky needs investments that will help us hit our target return. I would be hard pressed to support an investment that did not provide a return at least as great as the long-run return on the S&P 500. That has been a standard benchmark for Big Sky’s investors, and the S&P has provided about a 10% return since its inception in 1928. And this is a generous benchmark—Langtry is not a large company, it’s a small one, and it should provide a better return than the S&P 500 for that reason alone. After Connors and Windsor had spent a good bit of time accusing each other of proposing irrelevant benchmarks (Connors’s government-bond-market baseline, Windsor’s Big Sky target, and the S&P 500’s historic average), Garner suggested that they postpone further debate on the expansion for a few weeks, so she could provide some meaningful analysis of return benchmarks. For the exclusive use of J. Bates, 2020. This document is authorized for use only by Jennifer Bates in FNCE 6310 Financial Decisions and Policies Spring 2020 taught by John Byrd, University of Colorado - Denver from Jan 2020 to Jul 2020. Page 3 UV7508 Appropriate Benchmark It was generally accepted that the weighted average cost of capital (WACC) for a company reflected an appropriate hurdle rate (minimum return or benchmark) for that company’s investments. Garner realized before she started that she could not calculate a WACC for Langtry itself—the company did not have publicly traded stock, which was a critical source of one input to the calculation. However, she also knew that the benchmark for publicly traded competing companies would be meaningful to Langtry—these companies were facing the same underlying risks and competing under the same economic conditions. An average of the industry WACCs would be a defensible and informative benchmark for Langtry. Selecting the specific companies that would constitute an appropriate industry comparison set (comparable companies) was a judgment call. Garner believed that Langtry had moved to a luxury-goods market and most certainly that the new expansion was targeting that market. She decided to gather data for the six largest US luxury-goods companies (the sample of companies, along with notes on their product lines, is shown in Appendix A). As Garner gathered the information she needed, mostly from Google Finance, she became worried about the beta (a measure of equity risk) she would use in her calculations. There were many providers of betas and the ones she found varied a great deal. She also knew there were many ways to calculate a beta and that the calculated beta could vary greatly based on the time period used. Finally, there were statistical adjustments that some professionals advocated. Garner recorded the betas she found on Google Finance, but also approached a friend, Samantha (Sam) Ryan, who had access to other sources. Ryan provided the betas from Bloomberg, a trusted and sophisticated data
Answered Same DayFeb 24, 2021

Answer To: Langtry Falls Expansion Plan UV7508 Jul. 25, 2018 Langtry Falls Expansion Plan Roxanna Garner had...

Tanmoy answered on Feb 25 2021
150 Votes
Langtry Falls Expansion Plan
Executive Summary
Langtry is an equestrian leather goods manufacturing and selling company formed by Roxanne Garner. They produce high quality leather fashionable goods which are widely sold both locally and globally. Due to slump in the economy there has been slow down in the luxury industry yet Langtry has maintained a steady year on year growth over the past six years. The owners pl
an to invest in improving the production facilities and enhance the efficiencies of the company. But, he is in a doubt whether this strategy would be approved by the board of directors and would provide them a better return on investment or not.
Hence, they have decided to analyze the financials with the help of weighted average cost of capital to decide which option will be beneficial and optimum which could give them a better return at a lower average cost of capital.
For this we have used different strategies based on (a) low beta using beta from Google finance (b) high beta using beta from Bloomberg.
Analysis
For calculating Langtry’s WACC (Weighted Average cost of capital) the below were the assumptions considered from the case study of Langtry Falls Expansion Plan:
Tax Rate was considered as 35%
Risk Free Rate (Rf) is 2.15%
Market Risk Premium (Rp) is 6%
The Beta that was considered for calculation of WACC was Equity Beta which was derived from Asset Beta.
The formula for Asset Beta is Ba = [Ve/ (Ve + Vd (1-T) * Be]
Where, Ba = Asset Beta
Be = Equity Beta
Ve = market value of company’s share
Vd = market value of company’s debt
((Ve + Vd (1-T)) = after tax market value of company
T = company profit tax rate
The cost of debt is derived by calculating the effective interest rate (Kd). The effective interest rate is derived from the sum of interest on long term debt divided by the long term debt.
Effective Interest Rate (Kd) = Sum of Interest on long term debt / Sum of Long term debt
The Market value of debt (D) is given as 20% therefore the Market value of equity (E) is 100% - 20% = 80%.
Finally, the WACC is calculated with the help of the following formula:
WACC = E/V * Ke + D/V * Kd * (1 – Tax Rate)
Where, E = Market value of equity
D = Market value of Debt
V = Market value of the enterprise
Ke = Cost of Equity
Kd = Cost of Debt
For calculation of Hamada’s beta the below formula was used:
BL = BU * [1 + (1 – T) * (D/E)]
BL = Levered Beta
BU = Unlevered Beta
T = Tax rate
D/E = Debt to equity ratio
We have used Hamada’s beta equation for calculation of beta because it is an in-depth analysis of company’s cost of capital which depicts the financial leverage to the overall business risk. Beta is a metric which shows the riskiness of the system and the company. The Hamada’s beta reflects how the beta of a company changes with the changes in the leverage of the organization. Depending on the beta investors decides whether to make an investment or not. Hence, if the beta coefficient if higher it is a riskier investment.
For calculating the WACC – weighted average cost of capital of the 6 companies we have considered the same methodology which was used to calculate the WACC of Langtry. Then we have done an average of the WACC to determine the industry WACC. This is considered as a standard to compare the WACC of Langtry to determine whether the WACC of Langtry is more or less than the industry average. This will also help to decide the Langtry management whether to go for the expansion plan or not.
Also, since there is two sets of beta available (a) Beta from Google Finance (b) Beta from Bloomberg, we have calculated the Hamada’s beta and the WACC based on the two sets of betas. This will help to determine whether we should go with a higher beta or should limit with a lower beta for investing in a luxurious industry.
Discussion
We have conducted analysis based on two methods:
A. Method I (a) & (b) for calculating Langtry’s weighted average cost of capital based on the Google finance beta and Bloomberg beta.
B. Method II is used to calculate the weighted average cost of capital for all the 6 companies which are based on the Google finance beta and Bloomberg beta.
The...
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