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Financial Modeling & Valuation of Twitter/X
Rating: 4.5 out of 5(26 ratings)
9,051 students

Financial Modeling & Valuation of Twitter/X

Master Advanced Financial Modeling and Valuation Navigating| Corporate Finance with Precision| Company Analysis Twitter
Last updated 2/2025
English
English [Auto],

What you'll learn

  • Revenue Model: Twitter Data Gathering and Building the Revenue Model. Initial steps in data collection and constructing a robust revenue model.
  • Income Statement: In-depth exploration of the Income Statement. Understanding and analyzing key components of the income statement.
  • Cash Flow: Comprehensive insights into cash flow dynamics. Detailed examination and interpretation of cash flow statements.
  • Balance Sheet: Building and analyzing Balance Sheets. Understanding the financial health through balance sheet components.
  • Debt and Capital Lease: Exploration of debt structures and shares outstanding. Analyzing financial leverage and shares outstanding implications.
  • Working Capital Schedule: Mastering working capital and depreciation schedules. Optimizing working capital and managing depreciation.
  • DCF (Discounted Cash Flow): Advanced techniques such as DCF, beta, cost of equity, and WACC. Applying valuation methods for financial decision-making.
  • Participants will gain expertise in financial modeling, statement analysis, and advanced valuation techniques, empowering them for strategic financial decision

Course content

7 sections31 lectures5h 10m total length
  • Twitter/X Data Gathering9:38

    Develop an integrated financial statement model for Twitter by building revenue models from annual data and filings, and projecting the income statement, balance sheet, and cash flow.

  • Twitter/X Data Gathering Continued6:41

    Explore how Twitter/X drives most of its revenue from advertising services, navigates pricing and competition, and reports an 86/14 split between advertising and data licensing.

  • Building the Revenue Model Part 111:49

    Build a revenue model detailing advertising and data licensing revenue, with US and international splits, ad revenue per MDA, and FY18–22 estimates.

  • Building the Revenue Model Part 29:49

    Compute the advertising share of total revenue for US and international segments, convert to USD millions, and derive ad revenue per daily active user with growth assumptions.

  • Building the Revenue Model Part 312:22

    Build a revenue model by estimating monetized daily active users and ad revenue per MDA for US and international markets, using CAGR and averages to project total revenue.

Requirements

  • Financial Literacy: Basic understanding of financial terms (revenue, expenses, profit). Familiarity with financial statements (income statement, balance sheet, cash flow statement).
  • Mathematical Foundation: Comfort with arithmetic calculations, percentages, and basic statistical concepts.
  • Data Analysis Awareness: Awareness of data analysis concepts and their significance in decision-making. Understanding common data analysis terms and techniques.
  • Business Understanding: General awareness of business concepts and financial aspects. Knowledge of industry terms and common business practices.
  • Computer Proficiency: Comfortable using a computer and navigating software interfaces. Ability to manage files, folders, and perform basic computer operations.
  • Excel Proficiency: Basic familiarity with Microsoft Excel functions, formulas, and data manipulation. Understanding of spreadsheet navigation, cell referencing, and basic formatting.
  • Access to Software: Access to Microsoft Excel for practical exercises. Stable internet connection for accessing online resources and supplementary materials.
  • While these are recommended prerequisites, the course structure is designed to accommodate learners at various levels.

Description

The Financial Modeling and Valuation Mastery course is designed to equip participants with advanced skills in financial analysis. From constructing a detailed Revenue Model to mastering complex valuation techniques like DCF, participants will gain practical insights for making informed financial decisions. Section wise, we will learn the followings:

Section 1: Revenue Model

This section introduces learners to the intricacies of Twitter data gathering for constructing a robust Revenue Model. Participants will gain advanced skills in data collection, exploring various techniques to ensure comprehensive financial analysis.

Section 2: Income Statement

Dive deep into the components of the Income Statement, understanding how each element contributes to financial performance. Practical insights will be provided to analyze and interpret Income Statements effectively.

Section 3: Cash Flow

Explore the significance of Cash Flow in financial analysis. This section will dissect Cash Flow into multiple parts, providing participants with a holistic view of how cash movements impact the financial health of an organization.

Section 4: Balance Sheet

Unravel the complexities of the Balance Sheet, covering its various sections and the implications each holds for financial stability. Participants will gain a thorough understanding of how to interpret and leverage Balance Sheet data.

Section 5: Debt and Capital Lease

Analyze Debt and Capital Lease to understand their role in financial structuring and valuation. The section delves into Shares Outstanding and explores its implications for corporate financial health.

Section 6: Working Capital Schedule

This section emphasizes the importance of Working Capital Schedule in financial planning. Participants will learn to construct detailed Depreciation and Amortization Schedules, crucial for accurate financial modeling.

Section 7: DCF (Discounted Cash Flow)

Unlock the power of Discounted Cash Flow (DCF) in this advanced section. Covering Beta, Cost of Equity, Free Cash Flow Method, NPV Calculation, Equity Value, and WACC, participants will gain proficiency in complex financial valuation techniques.

Target Audience:

  • Finance professionals

  • Business analysts

  • Students pursuing finance-related courses

  • Professionals aiming to enhance financial modeling skills

Prerequisites: Basic understanding of finance concepts and financial statements.

Outcome: Upon completion, participants will possess advanced financial modeling skills, enabling them to perform detailed valuations and make informed financial decisions in various professional settings.

Who this course is for:

  • Finance Professionals: Financial analysts, accountants, and professionals in finance-related roles seeking to enhance their financial modeling skills.
  • Business Students: Undergraduate and graduate students studying business, finance, or related fields looking to gain practical financial modeling knowledge.
  • Entrepreneurs and Business Owners: Individuals involved in entrepreneurship or business ownership aiming to understand and create financial models for strategic decision-making.
  • Data Analysts: Data analysts interested in applying financial modeling techniques to analyze and interpret financial data.
  • Corporate Professionals: Professionals in various corporate roles who want to develop a deeper understanding of financial modeling for budgeting, forecasting, and planning.
  • Anyone Interested in Finance: Individuals with a general interest in finance, investments, and business who want to acquire skills in building and interpreting financial models.
  • The course is designed to cater to a broad audience, from beginners to those with some financial background.