Answer:
$58,500
Explanation:
Net worth is the difference between total assets and total liabilities.
I.e network = Asset - Liabilities
For Louie: Assets
Inheritance $ 50,000.00
Checking account $ 1 ,500.00
Car $ 8,000.00
403 (k) <u> $ 20,000.00</u>
Total $ 79,500.00
Liabilities
Car loan $ 6,000.00
School fee loan $ 12,000.00
credit card <u> $ 3, 0000.00</u>
Total $21, 000.00
Net worth = $ 79,500- $21,000
=$58,500
An inventory costing method that assigns the most recent cost to cost of goods sold is the LIFO Method.
LIFO Method or the Last In, First Out Method use to place an accounting value on inventory. It operates under the presumption that the last item of the purchased inventory is the first one sold.
Answer:
C). information systems existing on different management levels
Explanation: it integrates information across financial management, supply chain management, human resource management, production and design development and so on.
Answer: A. Stark industries should acquire LENS
Explanation:
Based on the information given in the question, the best strategy that Dev should suggest is that Stark industries should acquire LENS.
Since Stark Industries require the material from LENS and it's difficult to trade, the best option is to acquire it. The acquisition will make the production of the high-quality HD movie cameras easier.
It should be noted that entering into a competition with LENS is not advisable as that'll lead to the material not gotten. Also, a short or long term agreement isn't advisable as well.
Therefore, the correct option is A.
Answer:
No tax penalty will apply with respect to the excess distribution
Explanation:
Data provided in the question:
Age of Justin = 66 years
Qualified medical expenses in 2019 = $6,000
Archer MSA distribution taken during the year = $8,000
Now,
No tax penalty applies to with respect to the excess distribution for an individual whose age is over 65 years on the records.
Here,
The age of Justin is 66 years i.e over 65 years.
hence,
No tax penalty will apply with respect to the excess distribution
