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  1. Home
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  3. Z.ai: GLM 5
  4. Advanced Investment Memo (IC Memo)

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Back to Z.ai: GLM 5

Advanced Investment Memo (IC Memo)

Glm 5's response to the 'Advanced Investment Memo (IC Memo)' challenge.

Z.ai: GLM 5
February 11, 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.

Z.ai: GLM 5
Response

glm-5 logo
Z.ai: GLM 5Advanced Investment Memo (IC Memo)
glm-5 logo
Z.ai: GLM 5

MEMORANDUM

TO: Investment Committee FROM: [Analyst Name] DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – Short Recommendation

1) Recommendation

Recommendation: SHORT 12-Month Price Target Range: $25.00 – $30.00 (Base Case: $27.85)

Thesis: LedgerLift exhibits classic "growth trap" characteristics where the market is extrapolating historical hypergrowth while the forecast deceleration to sub-20% growth in FY27 and beyond fails to justify the current 9x EV/Revenue multiple. Even assuming a bullish operational turnaround, the intrinsic value remains below the current trading price, offering a favorable risk/reward to the downside.

2) Business Overview

LedgerLift is a pure-play B2B spend management and AP automation provider targeting the mid-market enterprise. The core value proposition is automating the " procure-to-pay" cycle, replacing legacy on-premise ERPs and manual workflows.

Why it Wins / Why Now:

  • Sticky Product: The platform embeds deeply into client workflows (AP automation), evidenced by best-in-class Gross Retention (94%) and Net Revenue Retention (123%).
  • Mid-Market Tailwinds: Mid-market enterprises are digitizing back-office functions to combat inflation and labor shortages, a structural tailwind that supported the 21% growth in FY25.
  • Efficiency: The shift to 78% GM (driven by subscription mix) demonstrates scalable unit economics, though S&M spend (34% of rev) remains high.

3) KPI Quality Check

The Good:

  • NRR (123%): Indicates strong land-and-expand motion; customers are increasing spend significantly.
  • Gross Retention (94%): Very high for the mid-market, suggesting high switching costs.
  • Concentration: Top 10 customers = 16% of revenue. This is a healthy diversification; no single customer loss is material to the thesis.

The Bad / What Could Be Wrong:

  • ARPA ($132k) vs. Mid-Market: This ARPA seems high for "mid-market" definitions. It suggests LLLT may be serving the lower end of the enterprise market, where competition from SAP/Concur is fiercer, or they are bundling heavily discounted multi-year deals. If the customer base is actually "upper-mid-market," the TAM may be smaller than anticipated.
  • Services Drag: Services GM is only 25%. While only 8% of revenue, this drags blended margins and suggests implementation complexity.
  • CAC Payback (18mo): While acceptable, 18 months is not exceptional for a SaaS company trading at ~9x revenue. It implies the payback period is elongating if growth slows, threatening FCF generation.

4) Valuation: DCF Analysis (Base/Bull/Bear)

We utilized a 5-year Unlevered Free Cash Flow projection (2026–2030) to derive Enterprise Value.

Forecast Assumptions (Revenue & EBIT Margin):

MetricCase20262027202820292030
Rev ($M)Base9921,1711,3461,5211,704
Bull1,0251,2401,4631,6821,901
Bear9511,0751,1931,3121,430
EBIT MarginBase20%22%24%25%26%
Bull21%24%26%28%29%
Bear17%18%19%20%21%

Unlevered FCF Calculation (FY2030 Terminal Year Example - Base Case):

  • EBIT: $443m (26% margin)
  • Less Cash Taxes (23%): ($102m)
  • Plus D&A (2.5%): $43m
  • Less CapEx (3.0%): ($51m)
  • Less NWC (1.0% of incr): ($18m)
  • Terminal UFCF: $315m

Valuation Output:

ScenarioWACC / T. GrowthTerminal UFCFEV ($B)Equity ($B)Implied Price
Base10% / 3%$315m$3.89$5.29$27.85
Bull9% / 4%$398m$6.48$7.88$41.47
Bear12% / 2%$219m$1.76$3.16$16.63

Note: Equity Value = EV + $1.4B Net Cash.

5) Comps Cross-Check

Peer Set:

  • Peer A: 9.0x Rev / 35x EBIT
  • Peer B: 7.0x Rev / 28x EBIT
  • Peer C: 11.0x Rev / 42x EBIT
  • Median: 9.0x Rev / 35x EBIT

Valuation Implied by Comps:

  • Current Trading: LLLT FY2025E Revenue is $680m (NTM for current moment, or use FY26 NTM $992m?).
    • Using FY2025 ($680m) as NTM proxy: EV = $680m * 9.0x = $6.12B. Equity = $7.52B. Price = $39.58.
    • Using FY2026 ($992m) as NTM proxy: EV = $992m * 9.0x = $8.93B. Equity = $10.33B. Price = $54.37.

Adjustment: We apply a 20% discount to the median multiple (7.2x Rev). Rationale: LLLT’s growth is decelerating from 21% to 12% over the projection period, significantly slower than the high-growth peer set implied by the 9-11x range.

  • Adjusted EV: $992m (FY26E) * 7.2x = $7.14B.
  • Implied Price: ($7.14B + $1.4B) / 190m = $44.84.

Cross-Check Conclusion: While comps suggest the stock is fairly valued if it maintains premium multiples, the DCF reveals the structural overvaluation relative to cash generation. As growth decelerates, the multiple will compress, making the DCF the primary valuation anchor.

6) Catalysts, Risks & Triggers

Catalysts (Downside):

  1. Deceleration Shock: FY26 guidance likely to be set at ~18-20% growth, disappointing investors expecting a re-acceleration.
  2. Margin Miss: S&M spend (34% of rev) is elevated; if CAC paybacks extend due to macro tightening, Op Margin expansion will stall.
  3. Churn Tick-up: Even a 1-2% increase in logo churn (currently 6%) would severely impair the NRR engine and force a guide-down.

Risks (to Short Thesis):

  1. M&A Takeout: The $1.4B net cash and sticky customer base make LLLT an attractive tuck-in for larger ERP players (e.g., Oracle, Microsoft) at a 30-40% premium.
  2. AI Upside: Successful integration of GenAI for AP automation could expand TAM and margins, justifying a higher multiple.
  3. Multiple Support: The scarcity of high-NRR (123%) assets may keep the floor on the valuation higher than fundamentals suggest.
  4. Interest Rate Cuts: A macro pivot to lower rates disproportionately benefits high-multiple growth stocks.
  5. Short Squeeze: Low float or high borrow cost could trigger volatility.

What Would Change My Mind (Falsifiable Triggers):

  1. NRR > 130%: Sustained NRR expansion above 130% would indicate a product-led growth phase, validating higher multiples.
  2. Rule of 40 Score > 45: If LLLT demonstrates margin expansion >500bps while maintaining >20% growth, the growth-efficiency balance improves drastically.
  3. CAC Payback < 12 months: A significant reduction in payback period would signal a shift to efficient viral growth, altering the FCF trajectory.

7) Diligence Questions for Management

  1. Can you break down the $132k ARPA by cohort—how much is from new logo landings vs. expansion of existing accounts?
  2. Services gross margin is 25%; is this a loss-leader strategy, or are implementation costs structurally higher than peers?
  3. With S&M at 34% of revenue, what is the marginal ROI on sales spend, and has productivity per rep declined in the last 12 months?
  4. How much of the 123% NRR is price-driven vs. seat expansion vs. cross-sell?
  5. The top 10 customers represent 16% of revenue; have any of these customers signaled intent to in-source or renegotiate contracts in the next 12 months?
  6. What is the implied renewal rate for customers acquired during the 2021-2022 "growth at all costs" period?
  7. Capex is modeled at 3%; is this maintenance level, or are there significant data center/hosting investments required for the AI roadmap?
  8. How does the net cash position of $1.4B factor into capital allocation—do you anticipate M&A or buybacks, or is this purely a defensive buffer?
  9. Given the 18-month CAC payback, what is the specific trigger for the operating margin expansion to 26% by 2030?
  10. What is the competitive win-rate against legacy ERPs (SAP/Oracle) vs. modern best-of-breed competitors?
Advanced Investment Memo (IC Memo)

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About Z.ai: GLM 5

Capabilities

ConversationReasoningCode GenerationAnalysisAgentic Tool UseTool Use

Categories

TextCode

Specifications

Provider
Zhipu
Released
2026-02-11
Size
XLARGE
Context
202,752 tokens

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