Excel Crash Course
Exam from Wall Street
Prep - Wall Street Prep.
2022-2023
Instructions: Questions 1-4 use the financial model on tab Q1-4 in
the Exam Workbook. Complete the model by filling in the blank cells
before answering the question below. Answers should be rounded to
the nearest whole number, comma separating 000s, NOT written in
currency format. So if the answer is $5,505,210.50, you would input
5,505,210.
1. What is forecast Revenue in 2017? 13,642,021
2. What is forecast Net Income in 2016? 925,777
3. If Depreciation&Amortization as a % of Capital Expenditures is
changed to 30%, what is Net Income in 2017? 1,123,438
4. What is the EBITDA % Margin in 2018? 17.1%
Instructions: Questions 5-19 use the data table on tab Q5-19 in
the Exam Workbook. We strongly recommend you analyze this
data with the aid of a pivot table. You may also benefit from
adding some extra calculation columns to the dataset.
Answers for numerical data should be rounded to the nearest 1
, decimal, comma separating 000s, NOT written in currency
format. So if the answer is $10,500.658, you would input
10,500.7.
5. Over the entire analysis period, which sales rep sold the highest
cumulative quantity of a single item?
Exam from Wall Street
Prep - Wall Street Prep.
2022-2023
Instructions: Questions 1-4 use the financial model on tab Q1-4 in
the Exam Workbook. Complete the model by filling in the blank cells
before answering the question below. Answers should be rounded to
the nearest whole number, comma separating 000s, NOT written in
currency format. So if the answer is $5,505,210.50, you would input
5,505,210.
1. What is forecast Revenue in 2017? 13,642,021
2. What is forecast Net Income in 2016? 925,777
3. If Depreciation&Amortization as a % of Capital Expenditures is
changed to 30%, what is Net Income in 2017? 1,123,438
4. What is the EBITDA % Margin in 2018? 17.1%
Instructions: Questions 5-19 use the data table on tab Q5-19 in
the Exam Workbook. We strongly recommend you analyze this
data with the aid of a pivot table. You may also benefit from
adding some extra calculation columns to the dataset.
Answers for numerical data should be rounded to the nearest 1
, decimal, comma separating 000s, NOT written in currency
format. So if the answer is $10,500.658, you would input
10,500.7.
5. Over the entire analysis period, which sales rep sold the highest
cumulative quantity of a single item?
