analyzing-add-on-acquisition-candidates

Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.

11 stars

Best use case

analyzing-add-on-acquisition-candidates is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.

Teams using analyzing-add-on-acquisition-candidates should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/analyzing-add-on-acquisition-candidates/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/analyzing-add-on-acquisition-candidates/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/analyzing-add-on-acquisition-candidates/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How analyzing-add-on-acquisition-candidates Compares

Feature / Agentanalyzing-add-on-acquisition-candidatesStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Analyzing Add On Acquisition Candidates

Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis.

## When To Use

- Screening potential tuck-in or bolt-on targets against an existing portfolio company (platform)
- Building a systematic add-on acquisition pipeline for a buy-and-build thesis
- Modeling the incremental return impact of a bolt-on on the consolidated platform
- Comparing multiple add-on candidates to prioritize deal pursuit
- Preparing investment committee materials justifying an add-on acquisition

## Inputs To Gather

- **Platform profile**: current revenue, EBITDA, margin structure, capital structure, entry multiple, and hold-period assumptions
- **Target financials**: revenue, EBITDA (or SDE for smaller targets), margins, growth rate, customer concentration, and capex requirements
- **Deal terms**: indicative purchase price or multiple range, expected financing mix (platform revolver draw, incremental term loan, seller note, earnout), and transaction costs
- **Synergy hypotheses**: specific cost synergies (back-office consolidation, procurement leverage, facility rationalization) and revenue synergies (cross-sell, geographic expansion, product bundling) with estimated ramp timeline
- **Integration considerations**: management retention needs, technology/ERP compatibility, cultural fit indicators, and customer/contract transferability risk
- **Market context**: sub-sector multiples for comparable transactions, competitive landscape for targets, and fragmentation level of the addressable market

## Workflow

1. **Define strategic fit criteria** — Map the target against the platform's buy-and-build thesis. Score across dimensions: geographic fill-in, product/service adjacency, customer overlap vs. expansion, and capability acquisition. Disqualify targets that fail threshold fit on the primary thesis driver.

2. **Normalize target financials** — Recast the target's P&L to reflect pro forma adjustments: owner compensation normalization, one-time items, related-party transactions, and run-rate revenue/cost changes. Arrive at adjusted EBITDA and confirm the basis for the purchase multiple. [VERIFY] treatment of add-backs against lender underwriting standards for the platform's credit facility.

3. **Quantify synergies** — Build a bottoms-up synergy model:
   - **Cost synergies**: headcount reductions (with severance cost), insurance/benefits consolidation, vendor renegotiation, and facility overlap. Assign confidence tiers (high/medium/low) and realization timeline (Year 1 vs. Year 2+).
   - **Revenue synergies**: cross-sell pipeline value, price harmonization opportunity, and new market access. Discount revenue synergies more heavily (typically 50%+ haircut for IC purposes).
   - Calculate net synergies after one-time integration costs.

4. **Model return contribution** — Determine how the add-on affects consolidated platform returns:
   - **Multiple arbitrage**: entry multiple for the add-on vs. expected exit multiple for the consolidated entity.
   - **Accretion/dilution**: impact on consolidated EBITDA margin and free cash flow yield.
   - **Levered return impact**: model the add-on's contribution to platform equity IRR and MOIC under base, upside, and downside scenarios. Sensitize on purchase price, synergy realization rate, and exit multiple.
   - Flag whether the add-on is self-funding through platform cash flow or requires incremental equity.

5. **Assess integration risk** — Evaluate execution complexity across:
   - Management quality and retention (key-person dependency)
   - Systems integration timeline and cost
   - Customer contract portability and change-of-control provisions [VERIFY]
   - Regulatory or licensing requirements for the combined entity [VERIFY]
   - Working capital seasonality mismatches

6. **Rank and recommend** — If evaluating multiple candidates, produce a scoring matrix weighted toward the platform's strategic priorities. Summarize each target with a go/no-go recommendation and prioritized pursuit order.

## Output

- **Candidate screening scorecard**: strategic fit scores across defined criteria with pass/fail thresholds
- **Adjusted financials summary**: restated revenue, EBITDA, and margins for each target with clear add-back detail
- **Synergy bridge**: itemized cost and revenue synergies with confidence levels, timing, and integration costs
- **Return contribution analysis**: incremental IRR/MOIC impact on the consolidated platform under multiple scenarios, including sensitivity tables on price and synergy realization
- **Integration risk matrix**: key risk areas rated by likelihood and severity with proposed mitigants
- **Recommendation summary**: prioritized candidate ranking with deal pursuit rationale and suggested next steps (LOI terms, diligence workstreams)

## Quality Checks

- Confirm add-back adjustments are supportable and consistent with lender and IC expectations — do not inflate adjusted EBITDA with speculative items
- Verify that synergy estimates have operational backing (e.g., specific headcount, specific vendor contracts) rather than percentage-of-revenue assumptions
- Ensure the return model correctly layers the add-on into the platform's existing capital structure (check debt covenants, revolver capacity, and permitted acquisition baskets) [VERIFY]
- Cross-check implied acquisition multiples against comparable transaction data for the sub-sector
- Confirm that integration cost estimates include all major categories: severance, IT migration, rebranding, lease termination, and professional fees
- Flag any target where customer concentration exceeds 20% of revenue in a single account or where revenue is substantially contract-dependent with near-term renewal risk

Related Skills

analyzing-vital-statistics

11
from CaseMark/skills

Structures vital records analysis with birth, death, and demographic trend reporting. Use when analyzing vital statistics, interpreting mortality data, or reporting demographic trends.

analyzing-social-determinants-of-health

11
from CaseMark/skills

Maps social determinants affecting health outcomes with intervention strategy development. Use when analyzing SDOH, mapping community resources, or designing social health interventions.

analyzing-pharmacovigilance-data

11
from CaseMark/skills

Structures post-marketing safety surveillance with signal detection and PSUR reporting. Use when analyzing safety signals, preparing PSURs, or managing pharmacovigilance data.

analyzing-flow-cytometry

11
from CaseMark/skills

Interprets flow cytometry panels for hematologic malignancy classification and minimal residual disease. Use when analyzing flow cytometry, classifying lymphomas/leukemias, or documenting immunophenotyping.

analyzing-epidemiological-data

11
from CaseMark/skills

Structures epidemiologic analysis with incidence, prevalence, rate calculations, and statistical inference. Use when calculating disease rates, analyzing epi data, or interpreting population statistics.

analyzing-clinical-trial-data

11
from CaseMark/skills

Structures clinical trial data analysis with primary endpoint evaluation and safety reporting. Use when analyzing trial results, evaluating endpoints, or preparing statistical reports.

analyzing-clinical-data-warehouses

11
from CaseMark/skills

Structures clinical data warehouse queries for quality measurement, research, and operational analytics. Use when querying clinical data, building analytics reports, or extracting research datasets.

analyzing-yield-curves

11
from CaseMark/skills

Interprets yield curve shapes with term structure analysis and relative value identification. Use when analyzing yield curves, identifying curve trades, or interpreting interest rate expectations.

analyzing-wealthtech-platforms

11
from CaseMark/skills

Evaluates wealth management technology with robo-advisory models, digital planning, and fee analysis. Use when analyzing wealthtech, evaluating robo-advisors, or assessing digital wealth platforms.

analyzing-water-risk

11
from CaseMark/skills

Structures water risk assessment with water stress mapping, usage analysis, and regulatory exposure evaluation. Use when analyzing water risk, mapping water stress, or evaluating water-related financial exposure.

analyzing-volatility-surfaces

11
from CaseMark/skills

Constructs and interprets implied volatility surfaces with skew analysis and term structure assessment. Use when analyzing vol surfaces, interpreting skew, or modeling volatility dynamics.

analyzing-venture-deal-terms

11
from CaseMark/skills

Evaluates VC term sheet provisions with economic and control analysis and cap table impact. Use when analyzing term sheets, negotiating deal terms, or modeling cap table outcomes.