Answer: $9000
Explanation:
Based on the values given in the question, the consolidated gain or loss on equipment for 2018 would be calculated as:
Cost of equipment = $120,000
Less accumulated depreciation = $66,000
Less: Amount Devin sold equipment to Pepe = $45,000
Consolidated loss= $120,000 - $66000 - $45000
= $9000
Answer:
The necessary entries would be:
Dr Accounts receivable $11,000
Cr Sales revenue $10,000
Cr Deferred revenue $,1000
Explanation:
Revenue should be recognized in the books of account where the selling party has performed its obligation of delivering goods or rendering services as contained in the sales contract.
This contract contains provision of goods -inventory that have been delivered and rendering of services-installation that is in progress, as a result the revenue relating to the former is due to be recognized now while the later would be recognized when is installation is concluded.
Answer: 26.5% increase
Explanation:
Current profit = Sales - Variable costs - fixed costs
= ((32.50 - 16.50) * 360 bears) - 1,420
= $4,340
Sales increase by 20% = 360 * ( 1 + 20%) = 432 bears
New profit;
= ((32.50 - 16.50) * 432 bears) - 1,420
= $5,492
Effect of sales increase = ( 5,492 - 4,340) / 4,340
= 26.5% increase
Answer: $2.60
Explanation:
Based on the information given in the question, the maximum amount that the Cologne Division would be willing to pay for each bottle transferred would be the amount that the company can purchase the containers in the external market which is given in the question as $2.60.
That's the highest amount that they can but the containers for. Therefore, the answer is $2.60
Answer:
Creating a data warehouse
Explanation:
Customer relationship management or CRM aims at creating and maintaining good customer relationships, providing better customer satisfaction so as to increase sales.
CRM focuses upon providing good customer support and customer feedback.
The primary step, in Customer Relationship management is creating a data warehouse. Data warehouse refers to a database from where extraction of customer details gets convenient.
Such database can be used for data analysis and reveals customer habits and past purchase trends.