M&A Analysis and Modelling
M&A modelling participants build a fully integrated merger financial model combining financial statement forecasts for the acquirer and target company. Practical consolidation issues are addressed. Deal synergy analysis focuses on the financing structure, pricing, earnings and credit impact of the deal. The three main ways of determining value creation for acquirer shareholders are emphasised, namely EPS (Earnings per share) accretion/ (dilution), Return on Invested Capital and PV of M&A Synergies vs. Bid Premium paid.
As an M&A case study, we will consider the hypothetical acquisition model of Adidas by Nike, building both ‘short-form’ and long-form’ models.
Individual exercises will be undertaken to highlight the 3 key measures of value creation:
- EPS accretion/ (dilution)
- Return on Invested Capital
- Present Value of deal synergies vs. premium acquisition model paid to target shareholders
Key Topics:
- M&A Accounting for Deal Goodwill
- Preparing the stand-alone data for the acquirer and the target
- Preparing key deal data is a focus in this M&A financial modelling course
- Building a flexible funding structure using sources and uses of funds table
- Calculating deal goodwill
- Accounting for a Non-Controlling Interest
- Enterprise Value to Equity Value bridge and deal adjustments in private M&A
- Dealing with fair value adjustments to the target's net assets
- Dealing with the refinancing of the target's debt
- Modelling fees (advisory, debt-issuance and equity-issuance)
- Consolidating the financial statements of the acquirer and the target
- Synergies
- Assessing the M&A valuation creation potential of the deal using:
- Earnings accretion/dilution and relative P / E analysis
- Return on invested capital (ROIC) analysis
- Net present value of synergies vs. control premium
- Contribution analysis M&A
- Impact on credit ratios and ratings
- Analysis at various prices (AVP)
- Apply valuation models for mergers and acquisitions to identify the maximum offer price and determine an appropriate mix within a project finance model