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?
