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GPT-5.4 Pro — Mini LBO Underwrite

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See how GPT-5.4 Pro compares on this challenge:

  • GPT-5.4 Pro vs Claude Sonnet 4.6
  • GPT-5.4 Pro vs Google: Gemini 3.1 Flash Lite Preview
  • GPT-5.4 Pro vs Gemini 3.1 Pro Preview

4 models have responded to the "Mini LBO Underwrite" challenge. Compare their approaches side-by-side on Rival. This response is part of Rival's open dataset of 5,600+ AI model responses.

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Mini LBO Underwrite

Gpt 5.4 Pro's response to the 'Mini LBO Underwrite' challenge.

GPT-5.4 Pro
March 5, 2026
Text

?
Prompt

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) – mission-critical HVAC maintenance + monitoring for data centers (mostly recurring service contracts). Use only the information below. Do NOT browse the web. This is a fictional exercise. ENTRY (close at end of FY2025) - FY2025 revenue: $900m - FY2025 EBITDA: $120m (13.3% margin) - Purchase price: 12.0x EBITDA - Transaction fees: 2.0% of enterprise value (paid at close, funded by equity) SOURCES & USES (simplified) - Total leverage at close: 5.5x EBITDA - Term Loan: 4.0x EBITDA, 9.0% cash interest, 1.0% annual amortization - Mezzanine: 1.5x EBITDA, 12.0% cash interest + 2.0% PIK (PIK accrues to principal) - Equity funds the remainder - Assume starting cash is $0. - Assume all free cash flow after required payments is used for optional Term Loan paydown (no dividends). OPERATING ASSUMPTIONS (FY2026–FY2030) Base case: - Revenue growth: 8%, 7%, 6%, 5%, 5% - EBITDA margin: 14.0%, 15.0%, 16.0%, 16.5%, 17.0% - Capex: 3.0% of revenue - Change in NWC: 0.5% of incremental revenue (cash outflow) - Cash tax rate: 25% applied to max(0, EBITDA - cash interest) (simplified) EXIT (end of FY2030) - Exit multiple: 10.5x FY2030 EBITDA - Exit fees: 1.0% of enterprise value - Mezzanine (including PIK) is repaid at exit. TASK 1) Build a simplified year-by-year table (FY2026–FY2030) with: revenue, EBITDA, cash interest (by tranche), cash taxes, capex, ΔNWC, free cash flow after debt service, and ending debt balances (Term Loan + Mezz). 2) Compute equity IRR and MOIC. 3) Provide a sensitivity table of equity IRR vs exit multiple (9.5x / 10.5x / 11.5x) and exit-year EBITDA margin (16% / 17% / 18%). 4) List 5 underwriting risks and 5 concrete downside protection levers. Keep it concise, but show the math clearly.

GPT-5.4 Pro
Response

gpt-5.4-pro logo
GPT-5.4 ProMini LBO Underwrite
gpt-5.4-pro logo
GPT-5.4 Pro

Below is a simplified LBO build for HarborTech Services (HTS).
All figures in $m unless noted.
Rounding: tables are rounded; IRR/MOIC use unrounded math.

0) Entry / Sources & Uses

  • FY2025 EBITDA: 120.0
  • Purchase price: 12.0x EBITDA
    → Enterprise value = 12.0 × 120.0 = 1,440.0
  • Transaction fees: 2.0% of EV
    → 28.8
  • Total uses = 1,468.8

Sources

  • Term Loan: 4.0x EBITDA = 480.0
  • Mezzanine: 1.5x EBITDA = 180.0
  • Equity: 1,468.8 - 660.0 = 808.8

Assumptions used in the model:

  • Term Loan cash interest = 9.0% on beginning balance
  • Term Loan amortization = 1.0% of original principal per year = 4.8
  • Mezz cash interest = 12.0% on beginning balance
  • Mezz PIK = 2.0% on beginning balance, added to principal annually
  • All excess cash after required payments is swept to optional Term Loan paydown

1) FY2026–FY2030 operating + debt schedule

Key formula

[ \text{Cash Taxes} = 25% \times \max(0,\ \text{EBITDA} - \text{cash interest}) ]

[ \text{FCF after debt service} = \text{EBITDA} - \text{TL cash int} - \text{Mezz cash int} - \text{cash taxes} - \text{capex} - \Delta NWC - 4.8 ]

That FCF is fully used for optional Term Loan paydown.

FYRevenueEBITDATL cash intMezz cash intCash taxesCapexΔNWCFCF after debt service (= TL sweep)Ending Term LoanEnding Mezz
2026972.0136.143.221.617.829.20.419.1456.1183.6
20271,040.0156.041.022.023.231.20.333.4417.9187.3
20281,102.4176.437.622.529.133.10.349.0364.1191.0
20291,157.6191.032.822.933.834.70.361.7297.6194.8
20301,215.4206.626.823.439.136.50.375.8217.0198.7

Example math check: FY2026

  • Revenue = 900.0 × 1.08 = 972.0
  • EBITDA = 14.0% × 972.0 = 136.1
  • Cash interest = 9.0% × 480.0 + 12.0% × 180.0 = 43.2 + 21.6 = 64.8
  • Taxes = 25% × (136.1 - 64.8) = 17.8
  • Capex = 3.0% × 972.0 = 29.2
  • ΔNWC = 0.5% × (972.0 - 900.0) = 0.4
  • FCF after debt service = 136.1 - 43.2 - 21.6 - 17.8 - 29.2 - 0.4 - 4.8 = 19.1
  • Ending Term Loan = 480.0 - 4.8 - 19.1 = 456.1
  • Ending Mezz = 180.0 × 1.02 = 183.6

2) Exit, equity value, MOIC, IRR

Exit at end of FY2030

  • FY2030 EBITDA: 206.625
  • Exit multiple: 10.5x
    → Gross EV = 10.5 × 206.625 = 2,169.565
  • Exit fees: 1.0% of EV = 21.696
  • Net EV after fees = 2,147.870

Debt repaid at exit

  • Term Loan: 216.986
  • Mezz (incl. PIK): 198.735
  • Total debt repaid: 415.720

Equity proceeds

[ 2,147.870 - 415.720 = 1,732.150 ]

Returns

  • Initial equity invested: 808.8

  • Equity MOIC:
    [ 1,732.150 \div 808.8 = 2.14x ]

  • Equity IRR (5 years):
    [ \left(\frac{1,732.150}{808.8}\right)^{1/5} - 1 = 16.5% ]

Base-case result

  • MOIC: 2.14x
  • IRR: 16.5%

3) Sensitivity: Equity IRR

Assumption for this grid: only FY2030 EBITDA margin changes (to 16% / 17% / 18% on the same FY2030 revenue), and FY2030 taxes / debt paydown update accordingly.

Equity IRR sensitivity (%)

FY2030 EBITDA margin \ Exit multiple9.5x10.5x11.5x
16%11.7%14.6%17.2%
17%13.6%16.5%19.1%
18%15.3%18.2%20.8%

4) 5 underwriting risks

  1. Contract renewal / repricing risk
    “Recurring” revenue can still re-bid or reset on price, especially with sophisticated data-center customers.

  2. Customer concentration risk
    A few hyperscale / colo customers could drive a disproportionate share of EBITDA.

  3. Labor availability and wage inflation
    Skilled HVAC technicians are hard to hire/retain; wage pressure can delay margin expansion.

  4. SLA / uptime liability risk
    HTS is mission-critical; service failures can trigger credits, penalties, reputational damage, and lost renewals.

  5. Leverage + exit multiple risk
    Entry leverage is meaningful (5.5x, including mezz with PIK); if growth/margins underperform and exit multiple compresses, equity returns can fall quickly.


5) 5 concrete downside protection levers

  1. Underwrite leverage only to recurring service EBITDA
    Haircut or exclude any non-recurring project/install EBITDA when sizing debt and valuation.

  2. Use more equity / less mezz if diligence is mixed
    Especially if top-customer renewal visibility or labor retention is weak.

  3. Keep strict cash control
    Full excess-cash sweep, no dividends, and ideally a springing maintenance covenant / minimum liquidity test.

  4. Improve contract economics
    Push for multi-year terms, CPI/labor escalators, parts pass-throughs, and auto-renewal mechanics.

  5. Protect field execution capacity
    Fund technician retention programs, training, and backup subcontractor/OEM coverage to reduce SLA miss risk.

If you want, I can also turn this into a compact IC memo format with an investment recommendation and bull/base/bear summary.

Mini LBO Underwrite

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About GPT-5.4 Pro

Capabilities

ConversationReasoningCode GenerationAnalysisAgentic Tool Use

Categories

TextCodeMultimodal

Specifications

Provider
Openai
Released
2026-03-05
Size
XLARGE
Context
1,050,000 tokens

Keep exploring

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Claude Sonnet 4.6's version

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COMPARE

GPT-5.4 Pro vs Google: Gemini 3.1 Flash Lite Preview

Both outputs, side by side

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