Question
I just dont understand why youre worried about analyzing our profit variance, said Dave Lundberg to his partner, Adam Dixon. Both Lundberg and Dixon were
I just dont understand why youre worried about analyzing our profit variance, said Dave Lundberg to his partner, Adam Dixon. Both Lundberg and Dixon were partners in the Dallas Consulting Group (DCG). Look, we made $800,000 more profit than we expected this past year (see Exhibit 1). Thats great as far as I am concerned, said Dave. Adam Dixon agreed to come up with data that would help sort out the causes of DCGs $800,000 profit variance.
DCG is a professional services partnership of three established consultants and six associates who specialize in helping firms in cost reduction through efficiency/lean studies, streamlining production by optimizing physical layout, and re-engineering studies. For each project DCG consultants spend the bulk of the total project time studying customers operations.
The three partners and six associates each received fixed salaries that represented the largest portion of operating expenses. All three used his or her home office for DCG business. DCG itself had only a post office box. All other DCG employees were also paid fixed salaries. No other significant operating costs were incurred by the partnership. There are no significant variable costs.
Revenues consist solely of professional fees charged to clients for the two different types of services DCG offered: re-engineering and streamlining production. Charges were based on the number of hours actually worked on the job.
Following the conversation with Lundberg, Dixon gathered the data summarized in Exhibit 2. He took the data with him to Lundbergs office and said, I think I can identify several reasons for our increased profits. First of all, we exceeded our budget on sales of streamlining services by 3,000 hours. Also I believe I can find evidence that the work for re-engineering in the consulting business has declined in recent months, while the demand for streamlining production has increased.
This is indeed interesting, Adam, replied Lundberg. Do you think you could quantify the effects of these factors in terms of dollars?
Exhibit 1: Budget and Actual Results (000s) | |||||||||||
Budget | Actual | Variance | |||||||||
Revenues | $ | 12,600 | $ | 13,400 | $ | 800 | |||||
Expenses: Salaries | 9,200 | 9,200 | |||||||||
Income | $ | 3,400 | 4,200 | $ | 800 | ||||||
Exhibit 2: Detail of Revenue Calculations | ||||||||||||
Hours | Rate | Amount | ||||||||||
Budget: | ||||||||||||
Re-engineering | 6,000 | $ | 600 | $ | 3,600,000 | |||||||
Streamlining production | 9,000 | 1,000 | 9,000,000 | |||||||||
15,000 | $ | 12,600,000 | ||||||||||
Actual: | ||||||||||||
Re-engineering | 4,000 | $ | 1,400,000 | |||||||||
Streamlining production | 12,000 | 12,000,000 | ||||||||||
16,000 | $ | 13,400,000 | ||||||||||
Required:
1. Calculate the following variances for each of the two products and for the company as a whole, using the above data: (Leave no cell blank; if there is no effect enter "0" and select "None" from dropdown.)
Re-engineering | Production | Total | ||||||
a. | Sales price variance | Unfavorable | 0 | None | Unfavorable | |||
b. | Sales volume variance | Unfavorable | Favorable | Favorable | ||||
c. | Sales quantity variance | Favorable | Favorable | Favorable | ||||
d. | Sales mix variance | Unfavorable | Favorable | Favorable |
2. Comment briefly on the information in part 1 above.
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