Answer: Yes. AudioCable should buy a new equipment
Explanation:
Audiocables Inc. without new equipment:
Selling price: $1.40
Variable cost: $0.50
Fixed cost: $14,000
Sales: 30000 units
Total cost = Fixed cost + Variable cost
= $14000 + ($0.50 × 30000)
= $14000 + $15000
= $29000
Revenue = Sales × Selling price
= 30000 × $1.40
= $42000
Profit = Revenue - Total Cost
= $42000 - $29000
= $13000
Audiocables Inc. with new equipment:
Selling price: $1.40
Variable cost: $0.60
Fixed cost: $14,000 + $6000 = $20000
Sales: 50000 units
Total cost = Fixed cost + Variable cost
= $20000 + ($0.60 × 50000)
= $20000 + $30000
= $50000
Revenue = Sales × Selling price
= 50000 × $1.40
= $70000
Profit = Revenue - Total Cost
= $70000 - $50000
= $20000
From the calculations made, AudioCable buy a new equipment as profit generated is more.
A movement along the demand curve might be caused by a change in the price of the good or service that is being demanded.
<h3>What is Demand?</h3>
This is the quantity of goods and services that consumers are able to purchase at a given price and at a particular time.
The price of the goods and services greatly influences the level of demand thereby bringing about movement along the demand curve. This makes the option D the most appropriate choice.
Read more about Demand here brainly.com/question/2398546
Answer:
June 1 Sheldon Cooper invests $4,000 cash in exchange for shares of common stock in a small welding business.
Account Debited: Cash
Account Credited: Common Stock capital
2 Purchases equipment on account for $1,200.
Account Debited: Equipment
Account Credited: Accounts Payable
3 Pays $800 cash to landlord for June rent.
Account Debited: Rent expense
Account Credited: Cash account
12 Bills P. Leonard $300 after completing welding work done on account.
Account Debited: Accounts receivable
Account Credited: Service revenue
Answer:
Budgeting, forecasting and planning
Explanation:
Service industries uses budgeting, which includes expected sales and operational cost, to forecast, plan and predict revenue. With regards to forecasting; historical or past company data are used to make sound prediction.