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olo-deal-screening

Target company evaluation and deal qualification for PE and strategic buyers

作者: admin | 来源: ClawHub
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olo-deal-screening

# Deal Screening for M&A Score and qualify acquisition targets against buyer investment criteria. ## Screening Framework Evaluate targets across five dimensions, each scored 0-100: ### 1. Strategic Fit (25% weight) - Industry/sector alignment with buyer portfolio - Geographic fit (markets, operations, customer base) - Product/service complementarity - Technology or capability gap fill - Brand and market position value ### 2. Financial Profile (25% weight) - Revenue scale (minimum threshold check) - Revenue growth trajectory (3-year trend) - EBITDA margin vs. industry benchmark - Revenue quality (recurring vs. one-time, customer concentration) - Working capital efficiency ### 3. Valuation Attractiveness (20% weight) - EV/EBITDA vs. comparable transactions - EV/Revenue vs. sector median - Implied IRR at estimated purchase price - Multiple arbitrage potential (buy low, exit higher) ### 4. Risk Profile (15% weight) - Customer concentration (top 10 customers as % of revenue) - Key-person dependency - Regulatory exposure - Technology obsolescence risk - Litigation or compliance issues ### 5. Execution Feasibility (15% weight) - Management team quality and retention likelihood - Integration complexity estimate - Competitive auction dynamics - Seller motivation and timeline - Financing availability ## Scoring Output ``` Overall Fit Score: 78/100 — PROCEED TO DD Strategic Fit: 85/100 ████████░░ Financial Profile: 72/100 ███████░░░ Valuation: 80/100 ████████░░ Risk Profile: 68/100 ██████░░░░ Execution: 82/100 ████████░░ Recommendation: PROCEED TO DD Key Strengths: [top 3] Key Concerns: [top 3] Suggested Next Steps: [prioritized actions] ``` ## Thresholds | Score Range | Recommendation | |-------------|----------------| | 80-100 | Strong fit — prioritize for DD | | 65-79 | Good fit — proceed with caution | | 50-64 | Marginal — requires strategic justification | | Below 50 | Poor fit — pass unless compelling thesis | ## Deal-Breaker Checks (Auto-Fail) Before scoring, check for absolute disqualifiers: - Revenue below buyer's minimum threshold - Negative EBITDA (unless growth-stage thesis) - Active material litigation exceeding 20% of EV - Sanctioned entities in ownership chain - Industry explicitly excluded by buyer mandate ## PE-Specific Criteria For financial sponsor buyers, additionally evaluate: - **LBO feasibility**: Can the deal be levered 3-5x EBITDA? - **Value creation levers**: Revenue growth, margin expansion, add-ons, multiple expansion - **Exit path**: IPO viability, strategic buyer universe, sponsor-to-sponsor - **Hold period returns**: Target 20-25% gross IRR over 3-5 years - **Fund fit**: Check size, vintage, sector focus, geographic mandate ## Output Format Provide structured JSON-compatible output with: - `overall_score`: 0-100 - `recommendation`: proceed_to_dd | proceed_with_caution | pass - `dimension_scores`: object with each dimension - `deal_breakers`: list of any auto-fail conditions triggered - `strengths`: top 3 positive factors - `concerns`: top 3 risk factors - `next_steps`: prioritized action items

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skill ai

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⬇ 下载 olo-deal-screening v1.0.0(免费)

文件大小: 2.38 KB | 发布时间: 2026-4-16 17:40

v1.0.0 最新 2026-4-16 17:40
Initial release

- Introduces a comprehensive M&A deal screening framework for private equity and strategic buyers.
- Scores acquisition targets across five key dimensions: Strategic Fit, Financial Profile, Valuation Attractiveness, Risk Profile, and Execution Feasibility.
- Includes deal-breaker checks (auto-fail conditions) before detailed scoring.
- Provides tailored criteria for PE investors, such as LBO feasibility and fund fit.
- Outputs clear recommendations, key strengths/concerns, and prioritized next steps in a structured format.

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