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Dominos balance sheet Fiscal year is January-December. All values USD millions. 2014 2015 2016 2017 2018...

Dominos balance sheet

Fiscal year is January-December. All values USD millions. 2014 2015 2016 2017 2018 5-year trend
Cash & Short Term Investments 151.81M 314.39M 169.31M 227.53M 237.42M
Cash Only 151.81M 314.39M 169.31M 227.53M 237.42M
Short-Term Investments - - - - -
Total Accounts Receivable 118.4M 131.58M 150.37M 173.68M 190.09M
Accounts Receivables, Net 118.4M 131.58M 150.37M 173.68M 190.09M
Accounts Receivables, Gross 121.76M 134.24M 152.71M 175.1M 191.97M
Bad Debt/Doubtful Accounts (3.36M) (2.66M) (2.34M) (1.42M) (1.88M)
Other Receivables - - - - -
Inventories 37.94M 36.86M 40.18M 39.96M 45.98M
Finished Goods 31.63M 30.17M 36.64M 36.65M 42.92M
Work in Progress - - - - -
Raw Materials 6.32M 6.69M 3.54M 3.32M 3.05M
Progress Payments & Other - - - - -
Other Current Assets 120.21M 119.81M 136.01M 138.61M 93.47M
Miscellaneous Current Assets 120.21M 119.81M 136.01M 138.61M 93.47M
Total Current Assets 428.36M 602.64M 495.87M 579.78M 566.95M
2014 2015 2016 2017 2018 5-year trend
Net Property, Plant & Equipment 114.05M 131.89M 138.53M 169.59M 234.94M
Property, Plant & Equipment - Gross 310.22M 336.17M 359.5M 406.87M 487.12M
Buildings 25.86M 18.56M 18.63M 18.67M 12.25M
Land & Improvements - - - - -
Computer Software and Equipment - - - - -
Other Property, Plant & Equipment 99.8M 111.07M 120.73M 128.61M 170.5M
Accumulated Depreciation 196.17M 204.28M 220.96M 237.28M 252.18M
Total Investments and Advances 4.59M 6.05M 7.26M 8.12M 8.72M
Other Long-Term Investments 4.59M 6.05M 7.26M 8.12M 8.72M
Long-Term Note Receivable - - - - -
Intangible Assets 36.86M 44.6M 56.31M 68.25M 78.73M
Net Goodwill 16.3M 16.1M 16.06M 15.42M 14.92M
Net Other Intangibles 20.56M 28.51M 40.26M 52.82M 63.81M
Other Assets 10.01M 8.8M 9.38M 8.27M 12.52M
Tangible Other Assets 10.01M 8.8M 9.38M 8.27M 12.52M
Total Assets 596.33M 799.85M 716.3M 836.75M 943.08M

Liabilities & Shareholders' Equity

2014 2015 2016 2017 2018 5-year trend
ST Debt & Current Portion LT Debt 565,000 59.33M 38.89M 32.32M 35.89M
Short Term Debt - - - - -
Current Portion of Long Term Debt 565,000 59.33M 38.89M 32.32M 35.89M
Accounts Payable 86.55M 106.93M 111.51M 106.89M 92.55M
Income Tax Payable - - - - -
Other Current Liabilities 178.49M 209.72M 253.3M 259.07M 251.3M
Dividends Payable 14.35M 557,000 - - -
Accrued Payroll 23.62M 33M 42.09M 37.42M 40.96M
Miscellaneous Current Liabilities 140.52M 176.17M 211.21M 221.65M 210.34M
Total Current Liabilities 265.61M 375.98M 403.7M 398.29M 379.74M
Long-Term Debt 1.5B 2.18B 2.15B 3.12B 3.5B
Long-Term Debt excl. Capitalized Leases 1.5B 2.18B 2.15B 3.12B 3.48B
Non-Convertible Debt 1.5B 2.18B 2.15B 3.12B 3.48B
Convertible Debt - - - - -
Capitalized Lease Obligations - - - 4.61M 14.61M
Provision for Risks & Charges 26.95M 23.31M 27.14M 30.61M 31.07M
Deferred Taxes 3.11M (5.87M) (8.94M) (2.75M) (5.53M)
Deferred Taxes - Credit 5.59M - - - 35.7M
Deferred Taxes - Debit 2.48M 5.87M 8.94M 2.75M 41.22M
Other Liabilities 17.05M 19.34M 19.61M 21.75M 5.11M
Other Liabilities (excl. Deferred Income) 17.05M 19.34M 19.61M 21.75M 5.11M
Deferred Income - - - - -
Total Liabilities 1.82B 2.6B 2.6B 3.57B 3.95B
Non-Equity Reserves - - - - -
Preferred Stock (Carrying Value) - - - - -
Redeemable Preferred Stock - - - - -
Non-Redeemable Preferred Stock - - - - -
Common Equity (Total) (1.22B) (1.8B) (1.88B) (2.74B) (3.04B)
Common Stock Par/Carry Value 556,000 498,000 481,000 429,000 410,000
Retained Earnings (1.25B) (1.8B) (1.88B) (2.74B) (3.04B)
ESOP Debt Guarantee - - - - -
Cumulative Translation Adjustment/Unrealized For. Exch. Gain (2.66M) (3.55M) (3.11M) (2.03M) (4.43M)
Unrealized Gain/Loss Marketable Securities - - - - -
Revaluation Reserves - - - - -
Treasury Stock - - - - -
Total Shareholders' Equity (1.22B) (1.8B) (1.88B) (2.74B) (3.04B)
Accumulated Minority Interest - - - - -
Total Equity (1.22B) (1.8B) (1.88B) (2.74B) (3.04B)
Liabilities & Shareholders' Equity 596.33M 799.85M 716.3M 836.75M 943.08M

*Question* for years ((**2015-2018**)) please show work , please and thank you :)

What is Dominos 1) current ratio 2) debt-equity ratio 3) profit margin 4) return on assets (ROA) 5) return on equity (ROE) 6) Use the Dupont identity to calculate total assets turnover (TAT). For years (2015-2018)

In: Finance

On January 1, 2018, Splash City issues $470,000 of 9% bonds, due in 20 years, with...

On January 1, 2018, Splash City issues $470,000 of 9% bonds, due in 20 years, with interest payable semiannually on June 30 and December 31 each year.

Assuming the market interest rate on the issue date is 10%, the bonds will issue at $429,678.

2. Record the bond issue on January 1, 2018, and the first two semiannual interest payments on June 30, 2018, and December 31, 2018

Date General Journal Debit Credit
January 01, 2018

In: Accounting

Kane Candy Company offers a coffee mug as a premium for every ten $1 candy bar...

Kane Candy Company offers a coffee mug as a premium for every ten $1 candy bar wrappers presented by customers together with $2. The purchase price of each mug to the company is $1.80; in addition it costs $1.20 to mail each mug. The results of the premium plan for the years 2017 and 2018 are as follows (assume all purchases and sales are for cash):

2017 2018
Coffee mugs purchased 730,000 820,000
Candy bars sold 5,700,000 6,720,000
Wrappers redeemed 2,800,000 4,190,000
2017 wrappers expected to be redeemed in 2018 2,100,000
2018 wrappers expected to be redeemed in 2019 2,660,000

Prepare the general journal entries that should be made in 2017 and 2018 related to the above plan by Kane Candy. (Credit account titles are automatically indented when the amount is entered. Do not indent manually.)

Date

Account Titles and Explanation

Debit

Credit

2017

(To record purchase of coffee mugs)

2017

(To record sale of candy bars)

2017

(To record coffee mugs offered for wrappers redeemed)

2017

(To record liability against expected redemption of wrappers in 2018)

2018

(To record purchase of coffee mugs)

2018

(To record sale of candy bars)

2018

(To record coffee mugs offered for wrappers redeemed)

2018

(To record liability against expected redemption of wrappers in 2019)

In: Accounting

Stock Inc. has two sites in Pittsburgh that are four miles apart. Each site consists of...

Stock Inc. has two sites in Pittsburgh that are four miles apart. Each site consists of a large factory with office space for 25 users at the front of the factory and up to 50 workstations in two work cells on each factory floor. All office users need access to an inventory database that runs on a server at the Allegheny Street location; they also need access to a billing application with data residing on a server at the Monongahela site. All factory floor users also need access to the inventory database at the Allegheny Street location. Office space is permanently configured, but the manufacturing space must be reconfigured before each new manufacturing run begins. Wiring closets are available in the office space. Nothing but a concrete floor and overhead girders stay the same in the work cell areas. The computers must share sensitive data and control access to files. Aside from the two databases, which run on the two servers, office computers must run standard word-processing and spreadsheet programs. Work cell machines are used strictly for updating inventory and quality control information for the Allegheny Street inventory database. Workstations in the manufacturing cells are switched on only when they’re in use, which might occur during different phases of a manufacturing run. Seldom is a machine in use constantly on the factory floor. Use the following write-on lines to evaluate the requirements for this network. After you finish, determine the best network topology or topology combination for the company. On a blank piece of paper, sketch the network design you think best suits ENorm, Inc.’s needs.

● Will the network be peer to peer or server-based?

● How many computers will be attached to the network?

● What topology works best for the offices, given the availability of wiring closets? What topology works best for the factory floor, given its need for constant reconfiguration?

can i also have the network design please

In: Computer Science

A retailer, Continental Palms Retail (CPR), plans to create a database system to keep track of...

A retailer, Continental Palms Retail (CPR), plans to create a database system to keep track of the information about its inventory.

CPR has several warehouses across the country. Each warehouse is uniquely named. CPR also wants to record the location, city, state, zip, and space (in cubic meters) of each warehouse. There are several warehouses in any single city.

CPR stores its products in the warehouses. A product may be stored in multiple warehouses. A warehouse may store multiple products. The quantity of a product in a warehouse needs to be recorded.

Every product has a unique UPC number. Other information about a product includes a name, a buying price, an approximate selling price, and a size (in cubic meters).

CPR also keeps track of the information about the manufacturers of products. Every product has a single manufacturer, but a manufacturer may manufacture multiple products. Each manufacturer has a unique name, an address (street, city, state, zip), and a contact phone number.

The requirements of CPR also indicate that there are the following full Functional Dependencies:

• UPC -> Name, Buying_Price, Selling_Price, Size, Manufacturer_Name, MStreet, MCity, MState, MZip, MPhone • Manufacturer_Name -> MStreet, MCity, MState, MZip, MPhone • Warehouse_Name -> WLocation, WCity, WState, WZip, WSpace • UPC, Warehouse_Name -> Quantity

A consulting company named Database Experts has designed the following relation data model for CPR. Product (UPC, Name, Buying_Price, Selling_Price, Size, Manufacturer_Name, MStreet, MCity, MState, MZip, MPhone, Warehouse_Name, WLocation, WCity, WState, WZip, WSpace, Quantity)

Although the designers at Database Experts claim that their design is superior in all aspects, CPR gives you a fair chance to justify your position. Now it’s your time to do the following.

(1) Show them what normal form their relation is in and why.

(2) Rescue their “bad” design using normalization. Decompose their relation Product into multiple smaller relations that are all in 3NF. Underline the primary key of each of your relations.

In: Computer Science

Part I – Build a simple Servlet called MyServlet using NetBeans. Add this Servlet to you...

Part I Build a simple Servlet called MyServlet using NetBeans. Add this Servlet to you “ChattBank” Project. This MyServlet will display a message like “Go Braves” in a simple <h1> tag. Run this servlet from a Browser window by typing in the servlet name in the URL line.

(ie. http://localhost:8080/ChattBank/MyServlet). Make sure that your Server is up and running before you test this Servlet. The best way to do this is just Run your “ChattBank” Project once before you test the Servlet. Running the Project will start the Server.

Part IINext, build a simple Servlet called LoginServlet in your “ChattBank” Project. Now make it so that when the Customer logs in, the LoginServlet will get called and will validate the user id and password.

  1. At first, just make sure that the Servlet gets called correctly. So just print a simple message like “LoginServlet Running…”.
  2. Remember, to call the LoginServlet, you will need to modify the FORM tag in the “Login.html” file:

<form action=”http://localhost:8080/ChattBank/LoginServlet”      method=”post”>

  1. Test it out. When you click the Login Button on the LoginForm, you should see “LoginServlet Running….”

Part IIINow, modify the LoginServlet.

  1. Make it so that when the Servlet gets called, it reads the id and password from the Login Form.

Use :    request.getParameter() to get these items. At first just read in these 2 strings and display them to the Server Log.

2.) If the id = “admin” and the Password = “123”, return an HTML page     that says “Valid Login”.

3.) If not return an HTML page that says “InValid Login”. Use out.println() to send these HTML messages.

     4.) Test out your WebApp.            

Part IVLastly, modify the LoginServlet. This time we are going to go to the database to verify the user login. First look at the ChattBank database. There is a Customers table. In this table there is a UserID and a Passwd. Write the database code, in your LoginServlet to let anyone of these customers login, using their own ids and passwords.    

In: Computer Science

2. Demand for hotel rooms in Tallahassee takes two possible values: on game days, demand is...

2. Demand for hotel rooms in Tallahassee takes two possible values: on game days, demand is described by the demand curve q = 100−p, while on non-game-days demand is described by the demand curve q = 60 − 2p.

(a) Suppose that the hotel price on game days is ph = 80. What quantity is demanded at this price?

(b) Find the inverse demand curve on non-game-days. Assuming that the price on game days is ph = 80 as above, what price would induce the same quantity demanded on non-game-days as on game days?

(c) Plot the demand curves on game days and on non-game-days. Pay careful attention to the price and quantity intercepts for both curves.

(d) Assuming the price on non-game-days is as you found in (ii), what is consumer surplus in this market on non-game-days? What is consumer surplus on game days?

(e) Suppose that you encounter the following claim: “Because the hotel price is higher on game days than on non-game-days, consumer surplus in the hotel market must be lower on game days.” What is wrong with this claim?

In: Economics

Demand for hotel rooms in Tallahassee takes two possible values: on game days, demand is described...

Demand for hotel rooms in Tallahassee takes two possible values: on game days, demand is described by the demand curve q = 100−p, while on non-game-days demand is described by the demand curve q = 60 − 2p.

(a) Suppose that the hotel price on game days is ph = 80. What quantity is demanded at this price?

(b) Find the inverse demand curve on non-game-days. Assuming that the price on game days is ph = 80 as above, what price would induce the same quantity demanded on non-game-days as on game days?

(c) Plot the demand curves on game days and on non-game-days. Pay careful attention to the price and quantity intercepts for both curves.

(d) Assuming the price on non-game-days is as you found in (ii), what is consumer surplus in this market on non-game-days? What is consumer surplus on game days?

(e) Suppose that you encounter the following claim: “Because the hotel price is higher on game days than on non-game-days, consumer surplus in the hotel market must be lower on game days.” What is wrong with this claim?

In: Economics

To study bonding between mothers and infants, a researcher places each mother and her infant in...

To study bonding between mothers and infants, a researcher places each mother and her infant in a playroom and has the mother leave for 10 minutes. The researcher records crying time in the sample of infants during this time that the mother was not present and finds that crying time is normally distributed with

M = 8

and

SD = 1.1.

Based on the empirical rule, state the range of crying times within 68% of infants cried, 95% of infants cried, and 99.7% of infants cried.

(a) 68% of infants cried
__________ to __________ min

(b) 95% of infants cried
  _______ to ________min

(c) 99.7% of infants cried
  _________ to _________ min

In: Statistics and Probability

To study bonding between mothers and infants, a researcher places each mother and her infant in...

To study bonding between mothers and infants, a researcher places each mother and her infant in a playroom and has the mother leave for 10 minutes. The researcher records crying time in the sample of infants during this time that the mother was not present and finds that crying time is normally distributed with

M = 8

and

SD = 1.1.

Based on the empirical rule, state the range of crying times within 68% of infants cried, 95% of infants cried, and 99.7% of infants cried.

(a) 68% of infants cried
__________ to __________ min

(b) 95% of infants cried
  _______ to ________min

(c) 99.7% of infants cried
  _________ to _________ min

In: Statistics and Probability