Question
The case asks you to put yourself in the shoes of Susan Jenkins, the CFO of a web applications company called Software Associates. Your boss,
The case asks you to put yourself in the shoes of Susan Jenkins, the CFO of a web applications company called Software Associates. Your boss, software Associates' CEO, Richard Norton, is worried about the variances in the latest financial statements and has asked you to meet with him to discuss these. For purposes of our assignment, we will assume that rather than preparing for a meeting with Mr. Norton, you are preparing a memo to submit to him, addressing his questions.
In the first paragraph of the case, Richard Norton has expressed a very concrete concern: "Why, with higher revenues, is our bottom line less than half of what we had budgeted?" Your assignment for the case is to write Mr. Norton a memo answering this question.
Interspersed throughout the text's case are five "Assignment Questions" each asking you to make a specific analysis. In your memo, you will include each analysis as an "exhibit" after the text of the memo. In the text of your memo, explain for each analysis:
What the purpose of the analysis is
What specific conclusions can be reached from evaluating the analysis
What recommendations can be reached from these conclusions
What additional questions are there that are not answered by the analysis How you would go about answering these questions.
Finally, close your memo with a brief paragraph summarizing your answer to the question: ""Why, with higher revenues, is our bottom line less than half of what we had budgeted?" and with your recommendations on how to improve the situation.
1. Assignment Question: make a variance analysis report based on the information in Exhibit 1.
Would this be sufficient to explain the profit shortfall to Norton at the 8 AM meeting?
Actual value | Budgeted Value | Variance Amount | Acceptable & unacceptable | |
Revenues | 3264000 | 3231900 | 32100 | Acceptable |
Expenses | 2967610 | 2625550 | 342060 | unacceptable |
Profits | 296390 | 606350 | -309960 | unacceptable |
Actual Revenue (AR) = $3264000
Budgeted Revenue (ER) = $3231900
Total Revenue Variance = AR - ER
$3264000 - $3231900 = $32100
Actual revenue is more than budgeted, so this is a favorable scenario.
Actual Expenses (AE) = $ 29 67610
Budgeted Expenses (EE) = $ 2625550
Total Expense variance = AE - EE
$29 67610 - $26 25550 = $342060
Actual expense is more than the expected expenses, it is an unfavorable scenario.
Actual Profits = $ 296390
Budgeted Profits = $ 606350
Total Profit variance = AP - EP
$296390 - $606350 = ($309960)
Actual profit is way less than budgeted profit, making this an unfavorable scenario.
ANALYSIS
With the information in display 1, we need the fundamental part of expenses and encourage points of interest, which is almost how the two divisions have gone through and earned their cash. So, more than the given data is needed to discover the zone of issue. From the information in Exhibit 1, we can tell there's an increment in cost, but we cannot clarify why the cost has increased. This gives us a course where we must walk to discover the genuine root cause.
2. Assignment Question make a variance analysis report based on the information in Exhibit 2. Quantity/Efficiency Variance = (Actual Quantity - Expected Quantity) * Expected Price Price/Rate Variance = (Actual Price -Expected Price) * Actual Quantity
Quantity/Efficiency Variance = (Actual Quantity - Expected Quantity) * Expected Price Price/Rate Variance = (Actual Price -Expected Price) * Actual Quantity
Revenue variance analysis:
Actual quantity | Budgeted Quantity | Expected price | Variance amount | Acceptable & unacceptable | |
Revenue quantity (# of hours) | 39000 | 35910 | 90 | 278100 | A |
Actual price | Expected price | Actual quantity | Variance amount | A&U | |
Revenue Rate (hourly Rate0 | 83.69 | 90 | 39000 | -246090 | U |
Total Revenue | 32010 | A | |||
The actual amount is more than the budgeted amount, so indeed, even though the introductory hourly rate is somewhat lesser than the budgeted hourly rate, the genuine add-up to income has expanded and the fluctuation in income is favorable.
Consultant expense analysis:
Actual quantity | Budgeted quantity | Expected price | Variance amount | A&U | |
Consultant expense quantity | 113 | 105 | 1665 | 133200 | U |
Consultant expense rate | 17956.19469 | 16650 | 113 | 147600 | U |
Total consultant expense variance | 280800 | U | |||
Per unit cost of specialist expense Number of consultants
Actual per unit cost of expert 2029050 /113 =17,956
Budgeted per unit price of consultant = 1748250 /105 = $16,650
Within the cost situation, the most parameter number of experts and the actual expense
rate of experts both have expanded. So, the company is paying or investing more in
consultants. The change in specialist cost is acceptable.
Total expense analysis: Total expense variance = Consultant expense variance + Operating expense variance
Actual operating expense | Expected operating expense | Variance | A&U | |
Operating expense | 938560 | 877300 | 61260 | U |
Total expense variance | 342060 | U |
The information in this address could be further than the one provided for the primary address. Here, one of the contributing components to the increment in cost is the increase in the number of experts and the expert cost rate. On the other hand, the unacceptable fluctuation within the working cost is more noteworthy than the budgeted or anticipated working cost.
3. Assignment Question make a spending and volume variance analysis of operating expenses based on the additional information supplied in Exhibit 3.
Number of budgeted consultants = 105
Budgeted variable expense/ Number of budgeted consultants = 525000/105=5000
Budgeted Variable expense per consultant = 5000
Spending variance = Actual Expense - Flexible Expense
Actual | Flexible budget variance | Flexible | Sales volume variance | Budget | Static budget variance | |
Revenues | 3264000 | -246000 | 3510000 | 278100 | 3231900 | 32100 |
Less | ||||||
Consultant salaries and fringes | 2029050 | 147600 | 1881450 | 133200 | 1748250 | 280800 |
Operating expenses | 938560 | 21260 | 917300 | 40000 | 877300 | 61260 |
Total expenses | 2967610 | 168860 | 2798750 | 173200 | 2625550 | 342060 |
Operating profit | 296390 | -414860 | 711250 | 104900 | 606350 | -309960 |
Profit% | 9% | 20% | 19% |
Operating statistics | Actual | Flexible | Budget |
Number of consultant (FTE) | 113 | 113 | 105 |
Hours supplied | 50850 | 50850 | 47250 |
Hours billed | 39000 | 39000 | 35910 |
Average billing rate | 83.69230769 | 90 | 90 |
Flexible Budget Variance = Actual Operating Profit - Flexible Operating Profit = - 414860 (U)
Sales Volume Variance = Flexible Operating Profit - Budget Operating Profit = 104900 (A)
Static Budget Variance = Actual Operating Profit - Budget Operating Profit = -309960 (U)
Flexible budget applies budgeted cost for actual quantity. The formula for flexible
expense is below, Flexible Expense = Budgeted Cost * Actual Quantity (Units)
Since the budgeted cost has both variable and fixed component, to calculate flexible expense we use the following formula Flexible Expense = Budgeted Fixed + (Budgeted Variable per consultant * Actual number of consultants) = 352300 + (5000*113) = 9173008
Therefore, Spending Variance = 938560 - 917 300 = 21260
Typically, Unacceptable
Volume Change Genuine number of specialists Budgeted number of specialists.
Budgeted variable per consultant= (113-105) * 5000
= 8 * 5000= 40000
This is Unacceptable
We presently have the settled and variable component of costs, so we can identify.
which component contributes to the cost. The underlying factors,
1. Increment in number of specialists Volume variance
2. Increment in investing by SA, as per the information given, investing variance
is the one causing gigantic unfavorable investment and volume changes. The genuine fixed
expense, which is essentially higher than the anticipated settled cost, is another cause for
eating up our benefits.
Flexible Operating Expense calculation:
Actual | Budget | Flexible | |
Advertising and promotion | 22100 | 15100 | 15100 |
Admin and support staff | 225000 | 191250 | 202907.143 |
Information systems | 126200 | 120000 | 127314.286 |
Depreciation | 23400 | 22700 | 22700 |
Dues and subscription | 11800 | 13100 | 13898.4762 |
Education and training | 36200 | 38900 | 41271.0476 |
Equipment leases | 23500 | 22440 | 22867.4286 |
Insurance | 33600 | 32200 | 32200 |
Professionals' services | 39500 | 34700 | 34700 |
Office expense | 42100 | 36550 | 39334.7619 |
Office supplies | 86200 | 89600 | 95061.3333 |
Postage | 27300 | 24700 | 26205.5238 |
Rent- real state | 117260 | 117260 | 117260 |
Telephone | 40000 | 38500 | 41433.3333 |
Travel and entertainment | 57800 | 56300 | 60589.5238 |
Utilities | 26600 | 24000 | 24457.1429 |
Total | 938560 | 877300 | 917300 |
4. Assignment Question make an analysis of the revenue change, separating the volume effect (increase in number of consultants) from the productivity effect (billing percentage).
Specialist charging rate Genuine Charging Anticipated Charging Genuine consultant hours provided Anticipated charging rate.
Consultant Amount Genuine Specialist Hours Provided Anticipated Specialist Hours Supplied) Anticipated Charging Anticipated charging rate.
Actual consultant hours supplied | Actual billing % | Expected billing % | Expected billing rate | Variance amount | A & U | |
Consultant billing percentage | 50850 | 0.766961652 | 0.76 | 90 | 31860 | A |
Actual consultant hours supplied | Expected consultant hours supplied | Expected billing % | Expected billing rate | Variance | A &U | |
Consultant quantity | 50850 | 47250 | 0.76 | 90 | 246240 | A |
Revenue quantity variance | 278100 | A
|
Actual billing% = Hours billed/ Hours Supplied
39000/50850=0.766961652
Expected billing% = Hours billed/ Hours Supplied
35910/47250 = 0.76
Efficiency Impact is centered on several expert hours charged against several consultant hours supplied.
Consultant Charging Fluctuation = (0.766961652 -0.76) *50850* 90 =31860 (A)
From the change investigation, we note that the real charging rate has gone up from the expected esteem of 76% to 76.7%. This shows that there's higher efficiency among consultants, which has increased bottom-line income.
Volume Impact centers on changes in income due to changes in the number of consultants (number of specialist hours employed. Consultant Amount Fluctuation = (50850 -47250) * 0.76 *90= 246240 (A)The examination shows that the number of specialist hours provided is higher than the budgeted number, driving favorable fluctuation.
Income Amount Change Specialist Charging Fluctuation efficiency change Consultant Amount Change volume variance. 31860 + 246240= 278100 (A). The alter in income is being ascribed to an extension in efficiency, coming about from higher billing rate and increment in the number of specialists utilized, driving higher revenue.
5. Assignment Question an analysis of actual versus budgeted revenues, consultant expenses, and margins using the additional information supplied in Exhibit 4.
CONTRACT SERVICES ANALYSIS OF ACTUAL VS BUDGETED REVENUES, CONSULTANT EXPENSES AND MARGINS
| Actual | Budget |
Billed hours | 24000 | 20160 |
Billing rate | 56.00 | 54.00 |
Revenues | 134400000 | 108864000 |
Consultant expense | 103680000 | 75600000 |
Hours supplied | 28800 | 25200 |
Hourly cost/consultant | 36.00 | 30.00 |
Billed % | 83.33333333 | 80 |
Gross margin | 30720000 | 33264000 |
Gross margins precent | 22.86% | 30.56% |
|
|
|
1. Real income of the Contract line of commerce outperformed budgeted income since billed
hours, charged rate, hours provided, and set rate are higher than budgeted values or
amounts.
2. The specialist cost line thing and the hourly taken toll per specialist expense
rate) are higher in actuals than budgeted. For a critical increment in income, we must
accrue an extra toll, but in this case, the additional toll doesn't significantly affect income.
SOLUTIONS SERVICES ANALYSIS OF ACTUAL VS BUDGETED REVENUES, CONSULTANT EXPENSES AND MARGINS
| Actual | Budget |
Billed hours | 15000 | 15750 |
Billing rate | 128.00 | 136.08 |
Revenues | 192000000 | 214326000 |
Consultant expense | 99225000 | 99225000 |
Hours supplied | 22050 | 22050 |
Hourly cost / consultant | 45.00 | 45.00 |
Billed % | 6802721088 | 7142857143 |
Gross margins | 92775000 | 115101000 |
Gross margins percent | 48.32% | 53.70% |
The income line shows real incomes are lower than budgeted or anticipated revenue. However, the expert cost, hours provided, and specialist hourly rate are the same. There are two reasons for this: The actual charge is lower than the budgeted charge; the income is less. The number of hours specialists worked in Arrangement administrations has come down.
Revenue Variance analysis:
Revenue variance | Contract | Solutions | Total |
Billing rate variance | 48000 | -121200 | -73200(U) |
Billing hours variance | 207360 | -102060 | 105300(A) |
Total revenue variance | 255360 | -223260 | 32100(A) |
Expense Variance Analysis:
Expense variance | Contract | Solutions | Total |
Expense volume variance | -108000 | 0 | -108000(U) |
Expense rate variance | -172800 | 0 | -172800(U) |
Total expense variance | -280800 | 0 | -280800 |
Margin Variance analysis:
Margins variance | Contract | Solutions | total |
Revenue variance | 255360 | -223260 | 32100(A) |
Expense variance | -280800 | 0 | -280800(U) |
Total margin variance | -25440 | -223260 | -248700(U) |
Indeed, even though the income change is favorable, the cost and edge fluctuation are unfavorable. An overall decrease within the edge is due to a less-than-expected income increase and a more than-anticipated cost increment.
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