Work / CPG
Case study CPG · M&A Advisory + corporate finance

Dairy PE platform — LBO deal evaluation model.

Designed a flexible leveraged buyout and scenario modeling template for a specialized PE fund, cutting transaction screening time to half a day.

Outcomes
0.5 days
Average deal evaluation and transaction screening turnaround time.
$10k
Saved in external consulting fees per model by empowering internal deal teams.
5 categories
Product-specific revenue and inflation-pass-through drivers modeled.

01Situation

A private equity fund specializing in dairy acquisitions faced a surge in deal flow as generational transitions prompted family-owned businesses to seek exits. Evaluating these opportunities under tight timelines was both slow and expensive, costing $5,000 to $10,000 in external financial modeling services per target. The dairy sector presented unique complexities: severe milk price volatility, seasonal cash flow swings, and complex LBO financing structures. The fund needed a flexible, institutional-grade LBO model template that internal deal teams could use to screen opportunities rapidly, model complex capital structures, and stress-test target operations.

02The work

  1. 01
    Product-category revenue driver modeling. Built detailed revenue models for five core product categories—cheese, paneer, yogurt, raw milk, and chocolates. Included inflation and pass-through pricing sensitivities to model how fluctuating raw milk costs affected customer pricing.
  2. 02
    LBO and debt-scaffold integration. Wired a robust debt schedule supporting monthly and quarterly interest payments, principal amortization, and covenant testing for multiple financing tranches (senior, mezz, and earn-outs).
  3. 03
    Automated post-acquisition balance sheet. Developed macro-driven opening and closing balance sheet adjustments to handle acquisition premiums, asset write-ups, debt issuance discounts, and transaction amortization automatically.
  4. 04
    Exit valuation scenario builder. Integrated dynamic exit scenarios using EBITDA multiple sliders and multi-year timing options to project internal rate of return (IRR) and cash-on-cash multiples for the investment committee.

03Result

The flexible model template compressed deal evaluation times from two weeks to half a day, allowing the fund to screen triple the volume of opportunities. Internalizing the modeling process saved the fund $10,000 per deal in third-party fees. The deal team successfully defended its first three acquisitions under the new model, with all raw-milk price volatility hedges holding within 1.5% of projected operating cash flows. The model was standardized as the fund's default screening tool.

04Lessons

  • Flexible, internal modeling templates build team capability and deal speed, which are major competitive advantages in competitive mid-market M&A.
  • In raw material-intensive sectors like dairy, pricing pass-through and inflation-lag assumptions are the most sensitive lines on the LBO sheet.
  • A robust debt scaffold must align interest payment frequencies with seasonal working capital dips to prevent technical covenant breaches.
AK
Associate · CPG

Ashutosh Kagali

Associate

Chartered Accountant and corporate finance specialist. Experience spans London Stock Exchange Group as Nordic controller, XF1 modeling SaaS and renewable energy projects, and Eightx leading strategic finance for CPG clients. Focuses on identifying operational gaps, department-level metric alignment, and custom decision-support modeling.

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