Perusal Global is a strategic, technology- and AI-driven research and advisory partner trusted by investment banks, financial institutions, corporates, private funds, and high-growth enterprises across the United States, Europe, the GCC, and India.
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Independent assessment of a target company’s market potential, competitive position, customer dynamics, growth prospects, and key commercial risks. The analysis supports validation of the investment thesis, identification of value drivers, and informed transaction decision-making.
Deal models built to investment committee standard: sources and uses, debt schedule across multiple tranches, management incentive schemes, operating model integration, and IRR and exit multiple sensitivity across entry multiples, exit multiples, and holding periods.
Intrinsic value analysis with WACC derived from the actual capital structure of the business being valued, not a sector database average. Comparable transaction analysis is built into the valuation as market evidence, not as a check on the DCF but as a parallel method.
Integrated deal models covering acquisition price sensitivity, synergy modeling, accretion/dilution analysis, and post-merger integration cost modeling. Assumptions are grounded in what the diligence found rather than the management case.
Analysis of whether reported profitability reflects underlying cash generation or is inflated by accounting treatment such as aggressive revenue recognition, working capital movements, or non-recurring items.
Building the analytical framework that allows the deal team to construct, validate, and defend an investment thesis ahead of a capital commitment. For existing theses, investment proposal assessment evaluates whether the assumptions are grounded in fundamentals or driven by optimism.
Independent valuation updates, performance attribution analysis, and periodic research for active holdings across the fund cycle. For PE portfolio companies, management meeting and board meeting note preparation is part of the same practice.
Primary and secondary market research to validate the commercial assumptions feeding the deal model. Competitor benchmarking, demand analysis, and white space mapping grounded in field research, not just published reports.
For VC mandates where team quality is a primary investment variable. Management track record, capital allocation history, and governance structure assessed as part of the same engagement as the financial and commercial analysis.
Capital allocation analysis, portfolio evaluation, and M&A advisory inputs for investment committees making structural decisions across the fund.
Assessment of strategic priorities, business portfolio, growth pathways, and resource allocation to support long-term value creation. The analysis helps companies evaluate new business lines, market expansion, operating model changes, and strategic initiatives aligned with broader corporate objectives
The analytical work for a PE or VC transaction is most credible when it draws on sector-specific domain expertise, not just generic financial modeling frameworks. Perusal's industry coverage provides the sector context, regulatory knowledge, and competitive benchmarking that deal teams need to make the investment thesis defensible.
OEM valuation, EV platform investment thesis, Tier 1 supplier commercial due diligence, China-plus-one and near-shoring strategy, green hydrogen vehicle economics.
Clinical asset valuation (probability-weighted NPV), biopharma commercial due diligence, HTA and payer dynamics, GLP-1 and cardiometabolic pipeline intelligence, SFDA and MoHAP regulatory pathways.
CCS project economics, LNG arbitrage analysis, energy transition asset valuation, specialty chemicals M&A, large-scale CapEx de-risking, plastic pyrolysis and chemical recycling investment thesis.
LCOE and LCOS financial modeling, VCM credibility assessment, green hydrogen project finance, IRA tax credit structures, grid interconnection risk, India and GCC cleantech investment thesis.
Should-cost modeling, nearshoring feasibility, Industry 4.0 readiness assessment, operational due diligence, Tier 2 and Tier 3 supply chain risk, JV and carve-out analysis.
D2C unit economics, Q-commerce shelf velocity, private label displacement risk, consumer brand M&A target screening, cash conversion cycle and inventory turnover modeling.
Agentic AI displacement risk, SaaS valuation (NRR, ARR, Rule of 40), technology M&A due diligence, cyber-resilience assessment, human-AI workflow transition cost modeling.
Embedded finance market sizing, RegTech investment thesis, AML/KYC orchestration platform assessment, BFSI earnings quality, legacy system interoperability cost modeling.
Digital freight platform unit economics, last-mile economics, multimodal and intermodal connectivity analysis, Scope 3 emissions modeling, logistics infrastructure due diligence.
