Key takeaways
- PE buyers engineer their offer around a 20-25% IRR target, not around what your business is worth to you.
- Leverage ratio and entry multiple interact: at 5x debt, a 7x entry multiple requires a 5x+ exit to clear a 22% IRR.
- Management fees, transaction costs, and monitoring fees reduce effective returns and push buyers toward lower entry multiples.
- A $20M EBITDA business at 7x enterprise value may only support a 19% IRR for the buyer, prompting a lower bid.
- Understanding the LBO math gives you leverage to push back on price adjustments and retrade attempts.
When a private equity firm submits an IOI at 6.5x EBITDA, that number did not come from a conversation about your business's potential. It came from a spreadsheet. Specifically, it came from a leveraged buyout model that works backward from a required return to produce the maximum price the buyer can pay and still hit their fund's IRR hurdle. Understanding that model changes how you read every offer you receive.
20-25%
Typical PE fund IRR hurdle that determines what they can pay you
5-6x
Typical leverage ratio on lower middle market LBO transactions (GF Data 2024)
5 years
Standard PE hold period used to model exit and discount future proceeds
Lower middle market PE transactions closed at a median EBITDA multiple of 7.1x in 2024, with significant variation by sector, margin profile, and growth rate (GF Data 2024).
PE funds targeting a 22% gross IRR must structure entry price, leverage, and exit multiple assumptions such that the math works at every stage of the hold -- entry, management, and exit.
Management fees (typically 2% of committed capital) and monitoring fees (common in PE-backed portfolio companies) are real costs that reduce effective fund returns and push buyers to optimize entry price aggressively.
The anatomy of an LBO model
A leveraged buyout model is a financial model that calculates whether a PE fund can acquire a business at a given price, hold it for a defined period, improve it, and sell it at a gain that exceeds the fund's minimum return threshold. The model has five key inputs: entry multiple, leverage ratio, hold period, exit multiple, and projected EBITDA growth.
Step 1: Set the Entry Price
The buyer decides on an entry multiple -- for example, 7x EBITDA. On a $20M EBITDA business, the enterprise value is $140M. The buyer immediately begins working backward from that number.
Step 2: Layer In Debt
At 5x leverage on $20M EBITDA, the buyer borrows $100M. Equity contribution is $40M. The debt is the engine: it amplifies returns if the deal works, and amplifies losses if it does not.
Step 3: Model the Hold
Over a 5-year hold, the buyer projects EBITDA growing from $20M to $27M (a modest 6% annual growth rate). Debt is paid down from $100M to $65M using free cash flow. The management team runs the business.
Step 4: Model the Exit
At a 7x exit multiple on $27M EBITDA, enterprise value at exit is $189M. After repaying the remaining $65M in debt, equity proceeds are $124M on a $40M entry equity check.
Step 5: Calculate IRR
$124M returned on $40M invested over 5 years. That is a 25.4% gross IRR -- above the fund's 22% hurdle. The deal works. The model clears.
If the buyer enters at 7.5x instead of 7x, equity contribution rises to $50M while exit proceeds stay the same. IRR drops to 19.9% -- below hurdle. The model fails. The buyer cuts the offer.
Why PE offers what it offers
The LBO model explains precisely why PE offers are what they are. It is not negotiation posturing or arbitrary discounting. It is mathematics. Each input constrains what the buyer can pay: the IRR requirement is set by the fund mandate, the leverage is capped by lender appetite, the exit multiple is constrained by market assumptions, and the hold period is determined by fund timeline.
A business with $20M EBITDA and consistent 8% annual growth is modeled by a PE buyer at 7x entry. With 5x leverage, a 5-year hold, and a 7.5x exit on $29.3M projected EBITDA, the buyer calculates a 24.8% IRR on $40M of equity. The deal clears. But if that business has customer concentration risk that compresses the lender's comfort to 4x leverage, the equity check jumps to $60M on the same entry price. IRR drops to 18.3%. The buyer drops the offer to 6x to restore the IRR math. The seller sees a $20M haircut. The lender's concentration concern, not the buyer, drove the price reduction.
The fees sellers never model
PE funds are not just investing their committed capital -- they are managing a fund with its own cost structure. Management fees (typically 2% of committed capital per year) reduce the fund's net returns and must be recovered from portfolio company gains. Monitoring fees, charged annually to portfolio companies during the hold, are an additional cost. Transaction fees at entry and exit are charged against fund returns.
For sellers, this matters because it means the buyer's effective required return at the portfolio company level is higher than the stated fund IRR hurdle. A fund targeting 22% net IRR may need 26% gross IRR at the deal level to absorb fees and carry. That 4-percentage-point gap flows directly to lower entry bids.
What you can do with this information
Knowing the buyer's model gives you leverage. First, you can run the model yourself before going to market. If the math does not support your target valuation at a 22% IRR, you can identify which variables to change: reduce customer concentration to improve lender appetite (and leverage ratio), compress the LBO math by demonstrating lower capex intensity, or build a stronger growth case that improves the exit multiple assumption.
Second, you can use the model to evaluate offers intelligently. A 6.5x offer from a buyer with a 5x leverage commitment in a rising rate environment may be a better deal than a 7x offer from a buyer stretched at 6x leverage with lender pushback risk. The headline multiple is not the whole story.
The founders who get the best outcomes from PE processes are the ones who understand what the buyer needs the deal to do -- and who structure their business to make the model work before the process starts.
Running your own numbers
You do not need a full LBO model to understand whether your valuation expectation is achievable. A simple version: take your EBITDA, multiply by your target multiple, subtract estimated debt capacity (EBITDA x typical leverage multiple for your sector), that is the equity required. Then assume 5-year hold, modest EBITDA growth, exit at same or slightly lower multiple, subtract remaining debt, divide exit equity by entry equity, calculate IRR. If the result is below 20%, the math will not support your price target with a typical PE buyer.
Your advisor should run this model with you before you receive any offers. Not after. Understanding the buyer's math before the process starts is one of the most underleveraged advantages available to sellers.
Frequently asked questions
What is an LBO model?
A leveraged buyout model calculates whether a buyer can acquire a business at a given price, finance it with debt, operate it for a hold period, and sell it at a return that meets the fund's IRR hurdle. It works backward from the required return to determine the maximum entry price the buyer can pay.
Why does customer concentration reduce my offer price?
Customer concentration affects lender appetite, which affects how much debt the buyer can put on the deal. Less debt means more equity required. More equity on the same entry price reduces IRR. To restore IRR to the hurdle rate, the buyer reduces the entry price. The concentration risk flows directly to your check.
Can I negotiate the LBO math?
Not directly -- the buyer's IRR target and leverage capacity are determined by factors outside the transaction. But you can influence the variables: improving growth trajectory raises the exit value assumption, reducing concentration improves leverage capacity, and compressing capex intensity improves free cash flow available to service debt. All of these improve what the model will support at entry.
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