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Accretion/Dilution Analysis – Case Study

    Accretion/dilution analysis (assessment of EPS impact from a deal over time (post‑close value trajectory)) in M&A determines whether a deal lifts or drags the buyer’s earnings per share after close and how fast value changes as synergies realize.

    I’ve seen this analysis go from a weekend spreadsheet to a high‑confidence, multi‑year view. In practice, you run the numbers on day one and then test three to five years of outcomes to capture the full value trajectory. The basic logic is simple: accretive means EPS higher than the buyer’s stand‑alone EPS in year one or the first full year; dilutive means the opposite. The real value comes from how you layer in financing, debt costs, tax effects, treatment of goodwill and intangibles, and the timing of synergies and amortization.

    Key finance knobs matter. If you finance a deal with 100% stock and the target’s P/E is higher than the buyer’s, dilution is likely unless you’ve got meaningful synergies or strategic leverage.

    Cash financing pushes different pressures, foregone interest cost and after‑tax considerations come into play, along with merger fees and any tax shield effects from debt. The practical result is that even large, strategic buys can show year‑one dilution but turn accretive in 3-5 years as cost saves and revenue synergies materialize.

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    We can anchor the framework with real cases. Microsoft’s $69B Activision Blizzard deal is cited as roughly 10-15% EPS accretive in year one, a result that hinges on synergy realization and the combination of platforms, customer bases, and monetization across franchises. Broadcom’s $61B VMware acquisition claims about 20% EPS accretion post‑synergies, which illustrates how even large, tech‑heavy deals can deliver meaningful accretion once the integration is underway. Eli Lilly’s $1B POINT Biopharma move was described as neutral to accretive in its filings, reminding us that not every big bet moves the needle in the near term. These anchors show that outcomes vary by deal, sector, and integration execution.

    From a modeling standpoint, the numbers matter for both accuracy and negotiation leverage. An example helps: Acquirer Co. buys Target Inc. for $500M cash. AC stands at $2.00 EPS with 50M shares and NI of $100M; TI has $3.00 EPS with 20M shares and NI of $60M. The deal adds $20M of year‑one cost synergies and creates $100M of goodwill (non‑amortizing). There are $50M of intangibles amortized over 5 years, $10M in merger fees, and a 25% tax rate. Debt financing at 4% is assumed. Under this structure, you can see immediate EPS impact, then map out tax shields, amortization, and the effect of the synergies to window the year‑one accretion or dilution and the longer‑term path. This supports prudent bid levels and negotiation levers, like the allocation of purchase price to tangible vs. intangible assets and the scope of synergies guaranteed by integration plans.

    The data shows a pattern: many deals are dilutive in year one because of acquisition premiums and upfront transaction costs, but tend to become accretive as cost saves and cross‑sales opportunities mature. In practice, you’ll see a deliberate emphasis on 3-5 year planning rather than stopping at year one. Automation changes the game here.

    McKinsey’s work suggests a four‑hour model build with under 5% error can avoid $2-5M in overpayment risks, and that automation accelerates the cycle from weeks to days. That speed matters because negotiation dynamics shift when you can present credible, multi‑year scenarios quickly.

    From a deal structure lens, you want to stress test different financing options, P/E mismatches, and tax consequences. A purely stock‑financed deal in a high‑P/E target can be dilutive unless you have compelling synergies or a favorable tax and amortization setup. Conversely, cash and debt can improve near‑term accretion but raise leverage and risk if the forecast misses.

    In practice, the analysis feeds into negotiations and diligence. If the model shows potential $2-5M of overpayment risk, that becomes a concrete counter‑offer point. If you project a 12% EPS accretion in year three, you’ve got a stronger case for price alignment, earnouts tied to integration milestones, or post‑close adjustments to safeguard value.

    Three practical notes I rely on:

    • Use actual purchase price in the seller’s yield calculation, not standalone valuation. You must base the math on the deal price to reflect the true capital cost and equity impact.
    • Frame the analysis for a 3-5 year horizon. Short windows miss the bulk of value from synergies and platform effects.
    • Confirm after‑tax costs of cash versus stock, factoring foregone interest and tax shields, so you don’t misstate the true cost of capital in the model.

    Takeaways for practitioners:

    • Build a robust model that connects P&L, balance sheet, and cash flow with explicit synergy timing, tax effects, and amortization where appropriate.
    • Run scenarios for different financing mixes and P/E relationships to understand dilution risk and potential accretion upside.
    • Use automation to shorten cycle times, improve accuracy, and support faster negotiation while maintaining rigor.

    If you want to deepen your understanding check our Matactic glossary for detailed terms and step‑by‑step methodologies. We’ve got real‑world case studies, tools, and templates to help you practice accretion/dilution analysis with confidence. Sign up for our free M&A course to keep learning the terms and methods that drive value in deals.