Duke Company's records show the following account balances at December 31, 2016: Sales $15,000,000
Cost of Goods Sold...$9,000,000
General and Administrative expenses... $1,000,000
Selling Expenses $500,000
Interest expense $700,000
Income tax expense has not yet been determined.
The following events also occurred during 2016. All transactions are material in amount.
1. $300,000 in restructuring costs were incurred in connection with plant closings.
2. Inventory costing $400,000 was written off as obsolete. Material losses of this type are considered to be unusual.
3. It was discovered that depreciation expense for 2015 was understated by $50,000 due to mathematical error.
4. The company experienced a foreign currency translation adjustment loss of $200,000 and had unrealized gains on investments of $180,000.
Required: Prepare a single, continuous multistep statement of comprehensive income for 2016. The company's effective tax rate on all items affecting comprehensive income is 40%. Each component of other comprehensive income should be displayed net of tax. Ignore EPS disclosures.

Omnidata uses the annualized income method to determine its quarterly federal income tax payments. it had $100,000, $50,000, and $90,000 of taxable income for the first, second, and third quarters, respectively ($240,000 in total through the first three quarters). what is omnidata's annual estimated taxable income for purposes of calculating the third quarter estimated payment?

In myanmar, six laborers, each making the equivalent of $ 2.50 per day, can produce 40 units per day. in china, ten laborers, each making the equivalent of $ 2.25 per day, can produce 48 units. in billings comma montana, two laborers, each making $ 60.00 per day, can make 102 units. based on labor cost per unit only, the most economical location to produce the item is china , with a labor cost per unit of $ . 05. (enter your response rounded to two decimal places.)

Sabrina gupta, an investment advisor with a major brokerage firm, was examining wal-mart stores, inc. (wal-mart) stock and its valuation. gupta wondered whether to recommend the stock to any of her new clients or to existing clients who did not currently have wal-mart in their portfolios. her key task was to use an intrinsic value approach to price the shares and to then compare the resulting price with the price at which the stock was traded in the market. gupta wanted to use alternative valuation methods and assumptions to produce intrinsic value estimates for wal-mart stock. she was interested in seeing if the alternative methods would point to a consensus regarding the valuation of the stock and to see if the valuations suggested an investment opportunity given the current market price. methods she contemplated to use were: multi-stage growth modelprice earnings multiplemost valuation methods gupta considered required a common set of inputs: future cash flows to wal-mart investorsgrowth rate of future cash flowsdiscount factor or required rate of return by wal-mart investorsgupta gathered data to determine each of the above. gupta thought that dividends to wal-mart shareholders would adequately capture the cash flows to wal-mart shareholders; she also thought that this approach would simplify her task and she would revisit more complex valuation models if she felt the need. gupta thought that capm would provide her a relatively reliable estimate of the required rate of return. capm based required rate of return can be estimated by using a risk free rate, systematic risk of the firm and equity market risk premium. gupta thought that in a valuation exercise that involve long term cash flows, 10-year government bond yield would be an appropriate risk free rate of return estimate. she checked the 10 year note rate and found out that it was about 3.68%. gupta searched for wal-mart beta in bloomberg. bloomberg estimates betas by regressing the s& p 500 returns on the firm returns over the past two years and arrives at a “raw” beta estimate. bloomberg makes an adjustment in raw beta based on some academic research. gupta is confident that bloomberg adjustment is justified and she uses wal-mart beta estimate of 0.66 in her analysis. while gupta is aware of the importance of emrp assumption, she thinks that bloomberg’s historical estimate of 5.05% is a safe assumption. she is aware of the fact that some studies suggest a larger risk premium of approximately six per cent, while others suggest a much lower forward-looking premium of less than four per cent. she is mindful of the arbitrariness of her assumption, and she takes a note to revisit this issue if her valuations produce unreasonable estimates. anticipated dividend growth (g) is often estimated in a variety of ways. first, observed historical dividend growth can be assumed to continue in a perpetual fashion. second, future dividend growth can be estimated on the basis of recent estimates of analysts. gupta noted that the consensus annual wal-mart dividend for fiscal year 2011 was $1.21, and one respected analyst had estimated the expected constant dividend growth (in perpetuity) at approximately 3%.as the chart suggests, both earnings and dividend growth rates are declining but they seem to be higher than the “respected analyst’s” estimates. gupta decides to use several alternative perpetual growth assumptions to see the impact on price. since gupta decided to use variants of dividend discount model (ddm), she checked the anticipated earnings for 2011. analyst’s estimates suggested $4.10 earnings per share. gupta decided to use 10% growth rate from 2011 to 2012 and assumed a steady decline to 3% in 13 years (until 2024) where the perpetual growth rate of 3% resumes. she also assumed that walmart will increase its dividend payout ratio from 30% to 55% from years 2012 to 2024. you are asked to reproduce gupta’s analysis of multi-stage growth model and double check her valuation by using an earnings multiple. you have all the data you need to conduct the multi stage discounted growth model analysis, but you will need to do some research about the multiples valuation.