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GPT-5.3-Codex — Advanced Investment Memo (IC Memo)

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See how GPT-5.3-Codex compares on this challenge:

  • GPT-5.3-Codex vs Claude Sonnet 4.6
  • GPT-5.3-Codex vs Gemini 3.1 Pro Preview
  • GPT-5.3-Codex vs Z.ai: GLM 5

4 models have responded to the "Advanced Investment Memo (IC Memo)" 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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Back to GPT-5.3-Codex

Advanced Investment Memo (IC Memo)

Gpt 5.3 Codex's response to the 'Advanced Investment Memo (IC Memo)' challenge.

GPT-5.3-Codex
February 25, 2026
Text

?
Prompt

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B spend management + AP automation SaaS for mid-market enterprises. Use only the information below. Do NOT browse the web. This is a fictional exercise, not investment advice. DATA - Current share price: $46 - Shares outstanding (basic): 190m - Net cash: $1.4B - FY2023 revenue: $560m - FY2024 revenue: $680m - FY2025 revenue: $820m - FY2025 gross margin: 78% - FY2025 operating margin: 18% - Revenue mix: 92% subscription, 8% services (services GM ~25%, subscription GM ~82%) - Customer KPIs: 6,200 customers; ARPA ~$132k; logo churn 6%/yr; gross retention 94%; NRR 123% - CAC payback: 18 months; S&M as % of revenue: 34% in FY2025 - Concentration: top 10 customers = 16% of revenue; top 1 = 3% - D&A: 2.5% of revenue - Capex: 3.0% of revenue - Net working capital investment: 1.0% of incremental revenue - Cash tax rate: 23% VALUATION ASSUMPTIONS (build 2026-2030 forecasts) Base case: - Revenue growth: 21%, 18%, 15%, 13%, 12% - Gross margin: 79%, 80%, 80%, 81%, 81% - Operating margin: 20%, 22%, 24%, 25%, 26% - WACC: 10%, terminal growth: 3% Bull case: - Revenue growth: 25%, 21%, 18%, 15%, 13% - Gross margin: 80%, 81%, 82%, 82%, 83% - Operating margin: 21%, 24%, 26%, 28%, 29% - WACC: 9%, terminal growth: 4% Bear case: - Revenue growth: 16%, 13%, 11%, 10%, 9% - Gross margin: 78%, 78%, 79%, 79%, 80% - Operating margin: 17%, 18%, 19%, 20%, 21% - WACC: 12%, terminal growth: 2% COMPS (fictional peer set) - Peer A: EV/NTM Revenue 9.0x, EV/NTM EBIT 35x - Peer B: EV/NTM Revenue 7.0x, EV/NTM EBIT 28x - Peer C: EV/NTM Revenue 11.0x, EV/NTM EBIT 42x Use the median multiple as your comps anchor, but explain adjustments. TASK Write a pro-level IC memo with: 1) Recommendation (Long/Short/Pass) + 12-month PT range + 2-sentence thesis 2) Business + why it wins / why now 3) KPI quality check (NRR, churn, CAC payback, concentration) and what could be wrong 4) Base/Bull/Bear model: show a compact table for 2026-2030 revenue, EBIT, and unlevered FCF; compute DCF EV, equity value, and implied value per share for each scenario (show key steps, not every line) 5) Comps cross-check: implied EV and per-share range using median multiples 6) Catalysts (3), Risks (5), and "what would change my mind" (3 falsifiable triggers) 7) 10 diligence questions for management Keep the memo under ~1,200 words, excluding tables.

GPT-5.3-Codex
Response

gpt-5.3-codex logo
GPT-5.3-CodexAdvanced Investment Memo (IC Memo)
gpt-5.3-codex logo
GPT-5.3-Codex

LedgerLift (LLLT) – IC Memo (Fictional)

Recommendation: PASS (bias: valuation-risk skew to downside on intrinsic basis)
Current Price: $46
12-mo PT range (fair value): $30–$48 (midpoint ~$38)

2-sentence thesis:
LedgerLift screens as a high-quality vertical SaaS asset (92% subscription mix, 123% NRR, 6% logo churn, expanding margins), but intrinsic value under reasonable DCF assumptions lands materially below today’s price. Public comps support current levels, yet that support appears to require sustained premium multiples despite moderating growth and only mid-20s long-run operating margins; risk/reward is not clean enough for a high-conviction long or short today.


1) Business overview, why it wins, why now

LedgerLift provides spend management and AP automation software to mid-market enterprises. The model is predominantly recurring subscription revenue (92%), with a smaller services component (8%) that likely supports implementation and adoption but dilutes blended gross margin (services GM ~25% vs subscription GM ~82%).

Why it wins

  • Strong product stickiness and expansion: gross retention 94%, NRR 123%.
  • Unit economics are healthy enough for compounding: 18-month CAC payback with S&M at 34% of revenue.
  • Scalable margin profile: operating margin already 18% in FY2025, with modeled expansion in all scenarios.

Why now (what is timely)

  • Company is crossing from “growth + investment” into “growth + profitability,” which can support re-rating if execution persists.
  • But shares at $46 imply meaningful confidence in duration of growth and margin lift; valuation debate is now central.

2) KPI quality check and what could be wrong

NRR 123%: Strong. Indicates meaningful expansion (seats, modules, pricing, payment volume-linked monetization).
Risk: Expansion can soften quickly in macro pressure if spend volumes or seat growth decelerate; NRR may be cyclically flattered.

Logo churn 6% / gross retention 94%: Good for mid-market cohort; suggests product relevance and workflow embedding.
Risk: Could mask bifurcation (high churn in smaller accounts offset by large-customer stability).

CAC payback 18 months: Solid for a business with this retention and GM profile.
Risk: Payback can be understated if services-heavy onboarding is subsidizing adoption or if payback excludes full overhead.

Concentration (top 10 = 16%, top 1 = 3%): Manageable; not extreme key-customer risk.
Risk: In downturn, top accounts can still drive abrupt net retention compression through downsell, even absent churn.


3) Base/Bull/Bear operating model and DCF

Key mechanics used for all scenarios

  • EBIT = Revenue × operating margin
  • UFCF = EBIT×(1–23% tax) + D&A (2.5% rev) – Capex (3.0% rev) – NWC investment (1.0% of incremental rev)
  • DCF period: FY2026–FY2030; terminal value via Gordon growth

Forecasts ($m)

Base Case
20262027202820292030
Revenue992.21,170.61,346.21,521.21,703.7
EBIT198.4257.5323.1380.3443.0
Unlevered FCF146.1190.7240.3283.5330.7
Bull Case
20262027202820292030
Revenue1,025.01,240.31,463.51,683.01,901.8
EBIT215.3297.7380.5471.2551.5
Unlevered FCF158.6220.8283.4352.2413.0
Bear Case
20262027202820292030
Revenue951.21,074.91,193.11,312.41,430.5
EBIT161.7193.5226.7262.5300.4
Unlevered FCF118.4142.4167.4194.4223.0

DCF outputs

ScenarioWACCgPV of explicit FCFPV of TVDCF EV+ Net CashEquity ValueImplied /share
Base10%3%8703,0223,8921,4005,292$27.9
Bull9%4%1,0685,5826,6501,4008,050$42.4
Bear12%2%5881,2911,8791,4003,279$17.3

Read-through: Intrinsic value range is wide, but even bull DCF is below current price; current valuation embeds either better-than-bull operating outcomes, richer terminal economics, or persistent multiple support from peer sentiment.


4) Comps cross-check (median anchor)

Peer medians: EV/NTM Revenue = 9.0x, EV/NTM EBIT = 35x.

Using FY2026 as NTM anchor:

  • Revenue multiple approach:

    • Bear/base/bull EV = 9×Rev = 8.56 / 8.93 / 9.23 bn
    • Equity/share (add $1.4bn net cash, divide 190m): $52.4 / $54.4 / $55.9
  • EBIT multiple approach:

    • Bear/base/bull EV = 35×EBIT = 5.66 / 6.95 / 7.53 bn
    • Equity/share: $37.2 / $43.9 / $47.0
  • Simple 50/50 blend: roughly $44.8–$51.5/share

Adjustment discussion:
A modest discount to peer median is defensible due to (i) services mix drag vs purer software peers, (ii) moderate customer concentration, and (iii) growth expected to step down into low teens by period end. A premium could be argued from retention quality and margin expansion, but current price already captures much of that optimism.


5) Catalysts (3)

  1. FY2026 guide and quarterly beats on OM expansion (toward 20%+) without NRR degradation.
  2. Large-enterprise wins / module attach disclosures that sustain NRR >120% despite macro normalization.
  3. Capital allocation (buyback/M&A) using $1.4bn net cash to accelerate EPS/FCF accretion.

6) Key risks (5)

  1. Short risk: durable NRR >120% plus faster OM expansion could sustain premium multiples.
  2. Macro/volume sensitivity: AP/spend-related workflows may be exposed to customer spending slowdown.
  3. Competitive pressure: pricing compression or bundled offerings can hit both growth and GM.
  4. Execution risk in upsell: expansion may rely on successful cross-sell into existing base.
  5. Multiple regime risk: valuation could remain comps-driven longer than fundamentals imply.

7) What would change my mind (3 falsifiable triggers)

  1. Upgrade to Long: two consecutive quarters with NRR ≥125% and operating margin ≥22% while revenue growth stays >20%.
  2. Upgrade to Short: NRR <115% and logo churn >8% with no corresponding S&M efficiency gain.
  3. Upgrade to Long: credible path to FY2028 UFCF margin ≥20% (with disclosure support on D&A/capex/NWC discipline).

8) Diligence questions for management (10)

  1. What components drove FY2025 NRR (price vs seats vs module attach vs payments/usage)?
  2. How does NRR trend by cohort size and industry vertical?
  3. What percent of ARR is multi-product today vs 2 years ago?
  4. How much services revenue is implementation pass-through vs strategic onboarding investment?
  5. CAC payback definition: fully loaded or sales/marketing direct only?
  6. What are gross retention and churn for customers <$100k ARR vs >$250k ARR?
  7. Pipeline quality: net-new logo growth vs expansion contribution over next 12 months?
  8. Any single-partner/channel dependency in lead generation or product integrations?
  9. Margin expansion levers: hosting efficiency, support automation, G&A scale—quantify each.
  10. Capital allocation priorities for the $1.4bn net cash (M&A hurdle rates, buyback thresholds)?

Bottom line

LedgerLift is fundamentally strong, but at $46 the stock appears fully valued-to-overvalued on intrinsic cash flow assumptions and only reasonable on relative comps. With DCF/comps dispersion unusually wide, the prudent call is Pass pending clearer evidence on durability of >120% NRR and pace of free-cash-flow scaling.

Advanced Investment Memo (IC Memo)

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About GPT-5.3-Codex

Capabilities

ConversationReasoningCode GenerationAnalysisAgentic Tool Use

Categories

TextCodeMultimodal

Specifications

Provider
Openai
Released
2026-02-24
Size
XLARGE
Context
400,000 tokens

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