A leveraged-buyout model for analysing the purchase of a company using a significant amount of borrowed money. It models the purchase funding, business performance, debt repayment, sale value, and investor returns across different scenarios.

Use it for private-equity investment reviews, acquisition pricing, management buyouts, recapitalisations, secondary buyouts, and co-investment analysis, including IRR and MOIC return calculations.

It helps buyers test whether a deal can repay its debt and produce the required return, and how much they can afford to bid.

lbo-model — Command for coding agents by brainbytes-dev: A leveraged-buyout model for analysing the purchase of a…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add commands/brainbytes-dev/everything-claude-finance/lbo-model

Clone the repo

git clone --depth 1 https://github.com/brainbytes-dev/everything-claude-finance

Or install everything-claude-finance, the plugin that ships this one along with the rest of its 13 skills, 22 commands, 20 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/brainbytes-dev/everything-claude-finance/lbo-model.svg)](https://agentmods.dev/commands/brainbytes-dev/everything-claude-finance/lbo-model)

Your own site

<a href="https://agentmods.dev/commands/brainbytes-dev/everything-claude-finance/lbo-model"><img src="https://agentmods.dev/badge/commands/brainbytes-dev/everything-claude-finance/lbo-model.svg" alt="Measured on agentmods" height="20"></a>

Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,802 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00008	$0.01802
Opus 5	$0.00004	$0.00901
Sonnet 5	$0.00002	$0.00360
Haiku 4.5	$0.00001	$0.00180

Measured 3d ago against content hash 0cd44a9f5142, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lbo-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/lbo-model.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/lbo-model — LBO Analysis

What This Command Does

Constructs a full leveraged buyout model including sources & uses, debt structure, operating projections, debt paydown schedule, and returns analysis (IRR, MOIC) under base, upside, and downside scenarios. Determines maximum bid price for target return thresholds.

When to Use

Private equity investment committee memos
Buy-side M&A bid pricing (sponsor-backed)
Management buyout (MBO) structuring
Recapitalization analysis
Secondary buyout evaluation
Co-investment analysis

How It Works

Sources & Uses: Purchase price, financing structure, equity check, fees and expenses
Debt Structure: Senior secured, second lien, mezzanine, seller notes — with terms and covenants
Operating Model: Revenue, EBITDA projections with margin expansion assumptions
Debt Schedule: Mandatory and optional prepayments, cash sweep, revolver usage
Returns Analysis: Exit at various multiples, IRR/MOIC sensitivity, attribution analysis
Scenario Modeling: Base, upside, downside with key driver sensitivities

Example Usage

Input:

/lbo-model target:"PrecisionParts GmbH" entry_multiple:8.5 hold_period:5 currency:EUR

Output:

# LBO Model — PrecisionParts GmbH
## Entry: 8.5x EBITDA | Hold: 5 years | Currency: EUR millions

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## Sources & Uses
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

| Sources           | EUR M | x EBITDA | Uses              | EUR M  |
|-------------------|-------|----------|-------------------|--------|
| Senior Term Loan A| 80.0  | 2.7x     | Enterprise Value  | 255.0  |
| Senior Term Loan B| 50.0  | 1.7x     | Transaction Fees  | 8.5    |
| Mezzanine         | 30.0  | 1.0x     | Financing Fees    | 4.5    |
| Equity (Sponsor)  | 95.0  | 3.2x     | Cash to B/S       | 5.0    |
| Management rollover| 18.0 | 0.6x     |                   |        |
| **Total Sources** |**273.0**|**9.1x**| **Total Uses**    |**273.0**|

Entry EBITDA: EUR 30.0M | Entry EV: EUR 255.0M (8.5x)
Total Leverage: 5.3x | Equity: 41.4% of total

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## Operating Projections (Base Case)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

| EUR M           | Entry | Yr 1  | Yr 2  | Yr 3  | Yr 4  | Yr 5  |
|-----------------|-------|-------|-------|-------|-------|-------|
| Revenue         | 180.0 | 193.0 | 208.0 | 224.6 | 240.3 | 255.0 |
| Growth          | —     | 7.2%  | 7.8%  | 8.0%  | 7.0%  | 6.1%  |
| EBITDA          | 30.0  | 33.5  | 37.4  | 42.1  | 46.0  | 50.2  |
| Margin          | 16.7% | 17.4% | 18.0% | 18.7% | 19.1% | 19.7% |
| Capex           | (9.0) | (9.7) | (10.4)| (11.2)| (12.0)| (12.8)|
| FCF (pre-debt)  | —     | 18.2  | 21.0  | 24.5  | 27.2  | 30.0  |

[Assumption: Margin expansion from operational improvements and scale]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## Debt Paydown Schedule
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

| EUR M            | Entry | Yr 1  | Yr 2  | Yr 3  | Yr 4  | Yr 5  |
|------------------|-------|-------|-------|-------|-------|-------|
| Senior TLA       | 80.0  | 68.0  | 54.5  | 39.0  | 21.5  | 2.0   |
| Senior TLB       | 50.0  | 50.0  | 50.0  | 50.0  | 50.0  | 42.0  |
| Mezzanine        | 30.0  | 30.0  | 30.0  | 30.0  | 30.0  | 30.0  |
| **Total Debt**   |**160.0**|**148.0**|**134.5**|**119.0**|**101.5**|**74.0**|
| Net Debt/EBITDA  | 5.3x  | 4.4x  | 3.6x  | 2.8x  | 2.2x  | 1.5x  |

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## Returns Analysis (Year 5 Exit)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

| Exit Multiple | Exit EV | Equity Value | MOIC  | IRR   |
|---------------|---------|-------------|-------|-------|
| 7.0x          | 351.4   | 277.4       | 2.5x  | 19.8% |
| 7.5x          | 376.5   | 302.5       | 2.7x  | 21.6% |
| **8.0x**      |**401.6**|**327.6**    |**2.9x**|**23.3%**|
| 8.5x (no Δ)  | 426.7   | 352.7       | 3.1x  | 25.0% |
| 9.0x          | 451.8   | 377.8       | 3.3x  | 26.5% |

### Returns Attribution (Base Case, 8.0x exit)
| Driver              | Contribution to MOIC |
|---------------------|---------------------|
| EBITDA growth       | 1.2x                |
| Debt paydown        | 0.8x                |
| Multiple expansion  | (0.1x)              |
| **Total**           | **2.9x**            |

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
## Scenario Summary
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

| Scenario | EBITDA Exit | Multiple | IRR   | MOIC |
|----------|-------------|----------|-------|------|
| Downside | 40.0        | 7.0x     | 12.5% | 1.8x |
| Base     | 50.2        | 8.0x     | 23.3% | 2.9x |
| Upside   | 58.0        | 9.0x     | 32.1% | 4.0x |

### Investment Decision: PROCEED — meets 20% IRR hurdle in base case.

Read the full file on GitHub · 137 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

3d ago First seen · 137 lines · 8 tokens per session scan A 0cd44a9f5142

Subscribe to this mod's changes

lbo-model is a command published in the GitHub repository brainbytes-dev/everything-claude-finance (5 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 1,802 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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