Financial Modeling for Beginners

What is Financial Modeling?

Financial modeling is a spreadsheet-based process for assessing a company’s future value and cash flows. These models can seriously impact companies’ investment decisions and future business.

Businesses are able to accurately determine the expected value of their stock and make decisions based on those numbers by using past performance and future economic indicators.

While the modeling work itself is generally done by analysts and newer members of the firm, its content reaches the top levels of a business, and it is essential that everyone on the ladder understands all of its content.

There are many different types of models that each correspond with different businesses, deals, or projects, and each of these variations presents a new structure and way of looking at an investment.

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Financial Modeling helps to assess future value as derived from past performance and economic indicators.
Modeling helps investors and businesses make informed decisions while taking into account a plethora of factors, such as market outlook, natural disasters, inflation, and politics.
The three-statement model is the most commonly used and includes the income statement, balance sheet, and cash flow statement.
Other models for more specific purposes exist, such as DCF, M&A, LBO, IPO, and other industry-specific models.

Understanding Financial Modeling

FM is a process that uses software such as Microsoft Excel to display the profitability and overall value of a company and give good insights into the business’s future performance.

Generally, the model in Excel consists of a table, with each row consisting of different financial data metrics that reveal insights and valuable information compared to the rest of the data.

The columns generally represent the different periods (generally annually or quarterly) that ascend in chronological order to give a good picture of how the business is trending.

The rows analyze different data metrics specific to the industry or company the model is used for. These metrics can include EBITDA, gross profit, total/adjusted cash flow, WACC, etc.

Analysts can accurately value the company and make investment and management decisions based on their valuations when combined and analyzed over a period (generally anywhere from the next quarter to the next 5-10 years).

What does a Financial Model show?

A financial model is built to show a quantitative representation of a business’ historical, present, and projected financial operations. This is done to replicate how different business decisions, market changes, and/or market conditions impact the business.

Apple Inc. (2023). Form 10-K 2023, https://s2.q4cdn.com/470004039/files/doc_earnings/2023/q4/filing/_10-K-Q4-2023-As-Filed.pdf

As we can see in the 2023 Form 10-K report from Apple Inc., the model shows a chronological development of multiple major financial metrics that reflect the value and recent success of the company.

The use of total net sales allows a company to see an accurate picture of a company’s net income compared to just looking at gross sales.

As the 10-K report shows, total net sales have remained fairly stable in the 3-year period, which is represented by the fact that there are no major problems or overly positive growth trends within this metric.

Another metric the report represents is the gross margin, or gross profit margin, which has held steady with slight increases in the more recent 2 years.

Gross profit margin allows an analyst to see how much money a company has left after subtracting the cost of producing or selling its goods/services and is key in understanding how much money is left over for other expenses and innovation.

These metrics, along with many others, allow analysts to accurately value a company and predict its future profitability given the market conditions that are present at that time and expected in the future.

Excel for Financial Modeling

There is no substitute for excellent Microsoft Excel knowledge and experience when it comes to FM, and as a result, investment banking analysts, accountants, and other professionals who deal with modeling need to be confident in Excel.

In a Wall Street Oasis (WSO) forum that discussed the most consuming work of investment banking analysts, it was stated that around 10-40% of their work is focused on Excel, dealing with decks and models.

The severity of influence this aspect of IB has on an individual largely depends on the time of year, the group they work in, and the level of the firm they work in.

However, this aspect of investment banking can take a toll on analysts and other finance professionals such as accountants and can be greatly reduced if sufficient skills and shortcuts are known before beginning with modeling.

Luckily, for aspiring finance pros, there are a plethora of solutions, tools, and support to help get FinMod under their belts. WSO, or Wall Street Oasis, has an excellent and thorough modeling course designed to get anyone ready to be a modeling pro in a short time .

What is Financial Modeling used for?

Financial modeling can be used for various reasons, including future forecasting, scenario analysis, and valuation. Each of these provides metrics that can alter a company’s course of action and dramatically impact its plans moving forward.

Forecasting

Short-term financial models are used to estimate a company’s future financial performance to advise the company on management and budgets accurately, or to decide whether the company needs to adjust current prices and operations.

Cash flow statements are a main source of forecasting company performance for analysts, as they give a good indication of the company’s revenue, expenses, and profit margins.

Forecasting allows analysts and businesses to understand how much money they will spend and gain over a given period, anticipate future demand, and decide how much to invest in starting new operations or entering a new market.

Scenario Analysis

The risk management team mostly leverages scenario analysis and evaluates the effects and impacts of possible events in the future.

These events can include new market competition, a merger of 2 competitors, high inflation rates, weather disasters, government collapse, and many other macroeconomic factors.

Businesses can use these models to be prepared for a wide range of economic changes. This is very important, especially in times of volatility and market uncertainty, as it allows businesses and investors to respond quickly and intelligently.

Valuation

Valuation is used to determine the intrinsic value of a business for mergers, acquisitions, and fundraising.

This modeling technique is very important for investors and M&A groups as it is key to highlighting the specific details of how a stock or business is valuable to their clients.

What types of Financial Models are there?

Financial models come in various forms, each with advantages and details essential for different industries, markets, and businesses.

3-statement

Integrate the income statement, balance sheet, and cash flow statement into a single structure.

Metrics such as revenue growth rate, gross profit margin, operating profit margin, net profit margin, working capital changes, and capital expenditures are all key for three-statement evaluation.

Discounted Cash Flow (DCF)

Leverage expected future cash flows to calculate a company’s current value.

Metrics such as unlevered free cash flow, discount rate, terminal value, and weighted average cost of capital are encapsulated within these models.

To learn more about DCF modeling, visit [Insert link to DCF modeling course]

Budget

It is the process of internal planning and resource allocation based on current and expected revenue, costs, and profit margins.

Metrics include Cash flow, budget variance, return on equity, CCC, working capital, and capex ratios.

Mergers and Acquisitions (M&A)

Evaluates the ability and impact of acquiring or merging with another company.

A wide range of financial metrics are used from financial, cultural, and valuation perspectives. This is due to the importance of knowing the entire business when deciding whether to unify with them or not.

Leveraged Buyout (LBO)

Examines the ability of a company to acquire another company, mainly by using debt.

Using debt allows companies to achieve a greater overall return on investment; however, there are many more risks involved with debt financing.

Metrics include cash flow projections, income statement, EBITDA, interest coverage ratio, debt service coverage ratio, fixed charge coverage ratio, as well as equity contribution and capital structure.

Initial Public Offering (IPO)

Projects financial performance so that a correct plan can be enabled when going public. It also ensures that the stock is offered at a good initial price.

Metrics include revenue growth, EBIT, net income, cash flow, unique value, competitor standing, industry trajectory, market demand, pricing, and share price appreciation.

Other/Industry-specific

Certain industries require structures and metrics that are not available in other commonly used models and have models specific to their functions and needs.

These industries can include, but are not limited to commercial real estate, project finance, infrastructure, and private equity.

What information should be included in a financial model?

A thorough and well-structured financial model encompasses multiple components:

Assumptions and Driving Forces: The inputs that result in the product and the information needed to make decisions and valuations are very important to understanding the different aspects of a company and its performance, as well as its expected future performance. These inputs can include revenue growth rates, cost margins, and interest rates.
Income Statement: The income statement facilitates users by providing details on revenues, expenses, and profits over a given period. This information is vital to a model because it is the main component of determining a business's profitability and value.
Balance Sheet: The balance sheet provides information on what the company owns (assets), what it owes (liabilities), and equity. Investors and stakeholders need to know if the company they are invested in is capable and liquid, meaning the value of its assets is higher than that of its liabilities.
Cash Flow Statement: The Cash flow statement summarizes the usage (cash outflows) and sources (cash inflows) of a business. They are categorized into operating, investing, and financing activities. It is a useful measure of profitability and the future outlook of a company, which can help guide investors and stakeholders.
Supporting Schedules: The supporting schedules are detailed calculations for metrics such as depreciation, working capital, and debt. Enhance clarity, understanding, and interconnectivity of many seemingly separate components in a financial statement.
Scenario and Sensitivity Analysis: The scenario and sensitivity analysis are vital in assessing the risk an investor takes when investing in a company and are essential for M&A groups and stakeholders.
Key Performance Indicators (KPIs): These essential metrics are the greatest indication of a business’s overall value and profitability and are often what is seen in simplified overviews of stocks and companies. The KPIs include, but are not limited to, EBITDA, net margin, and return on equity (ROE). Ensuring accuracy and thoroughness in each of these sections is essential to a financial modeler, as a single missed or wrong input can significantly affect the outcome and, therefore, the actions of investors and businesses.

Granularity and Flexibility in Financial Modeling

Diving deeper into the construction and complexities of modeling, there are ways in which analysts can communicate given assumptions that are based on the level of consistency and how fully they encompass a given product, company, or sector.

These differing levels of each model are referred to as granularity and singularity.

Granularity

Granularity refers to the level of detail in a model, and different levels are utilized for different scenarios.

High granularity: Shows modeling revenue by individual product/service
Low granularity: utilizes aggregated revenue figures to encompass the whole company

The reason for which a model is intended determines its degree of granularity or detail. While a lower level of detail may be appropriate for applications like general forecasting, a higher level is required for detailed budgeting.

Singularity

The consistency and coherence of a model are referred to as singularity. A single model guarantees that:

Assumptions are detailed and consistent
All formulas are paired and linked correctly
Inputs and outputs are matched, and assumptions are paired correctly
The reasoning is thorough and concise while avoiding circular reasoning

Balancing both singularity and granularity ensures that the models are efficient, clear, and sufficiently thorough for their uses.

How can you learn financial modeling?

Due to the importance and usefulness of financial modeling, as well as the growing competition in high finance careers such as investment banking, private equity, and venture capital, many resources have been advertised to support anyone’s ability to learn and grow in this area.

Wall Street Oasis (WSO) offers an excellent financial modeling course that covers all the relevant aspects to help you succeed in any finance role.

Financial Modeling FAQs

How is a financial model validated?

Error checking, consistency checks, scenario testing, comparison with historical data, and peer review.

What types of businesses/careers use financial modeling?

Investment banking, equity research, corporate finance, private equity, venture capital, real estate development, and entrepreneurship are all careers that utilize modeling and all of its uses.

How to make financial models easier to audit?

To simplify the validation process, one should use a clear format, apply consistent formatting, include documentation, avoid hardcoding values, test incrementally, and build error checks.

What is Advanced Financial Modeling (AFM)?

It refers to building models that are highly detailed and complex to go beyond basic forecasting.

Techniques can include Monte Carlo simulation, real options valuation, and integration of macroeconomic factors.

Often used in specialized fields such as investment banking, private equity, and strategic financial planning.