Answer:
The net impact on the income will be 2,795,000 each year
Explanation:
The purchase will generate the followng:
4.3 depreciation expense
and a tax shield, as this expense decrease the net income:
depreciation x tax-rate = tax-shield
4.3 x 35% = 1.505 millions
total impact on net income:
depreciation expense - tax shield
4.3 - 1.505 = 2.795 millions net impact
Answer:
It can purchase at most, $18.13 per share.
Or 72.52 millions for the total 4,000,000 shares
Explanation:
We are given with the present value of the merger at Craftworks discount rate. The shares can be purchase at most at the same level of the present value of the increase in the free cash flow.
That way, the net present value will be zero and the merger will yield the 16% required.
72,520,000 Millions
4,000,000 shares outstanding
price per share 18.13
The crafworks shares can be purchase at most for 18.13 above this, it would yield the 16% required
Currently the share are at 16.25 so it could be possible to do the take-over
Answer:
Dr Retained earnings $8.2
Cr Inventory $8.2
Explanation:
By changing method of an inventory valuation, the company should apply it retrospectively based on IAS 8 guidelines on change in accounting estimates and errors. Thus, the said difference from FIFO method to Weighted Average method of valuation should be credited directly against Retained earnings account because, accounts are already closed right after the year ended.
$32-$23.8= $8.2 million
To record the said adjustment you have to
Debit Retained earnings and credit Inventory in the amount of $8.2 million.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. Optimization of process parameters is one of the ways to achieve desired quality of a part.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product.
Optimization of process parameters is one of the ways to achieve desired quality of a part. Finite Element Method (FEM) and machine learning techniques are applied to evaluate and optimize AM process parameters. While FEM requires specific information, Powder Bed Fusion Machine Learning is based on big amounts of data. This paper provides a conceptual framework on combination of mathematical modelling and Machine Learning to avoid these issues.
Learn more about Powder Bed Fusion here
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The total cost for this certain activity level can be calculated by substituting 4000 to the x of the equation given above,
y = 7000 + 1.8(4000)
y = 14200
Thus, the total cost of the activity level is $14,200.
