How We Research

The Analytical Framework

Each report follows a structured analytical process covering every dimension a professional investor evaluates: thesis construction, financial analysis, competitive positioning, valuation, risk assessment, and scenario modeling.

The framework is regime-aware. A listed company with SEC filings, consensus estimates, and options markets activates the full 22-section stack. A sponsor-backed private target routes to a different section set — emphasizing returns analysis, quality of earnings, and competitive landscape mapping while suppressing sections that require public market data. When data is unavailable, the report says so rather than filling sections with assumptions.

What Does a Complete Research Report Include?

A professional research report covers more than valuation. It documents the investment thesis, stress-tests assumptions, benchmarks the subject against the relevant comparison set, and maps the specific catalysts that will prove the thesis right or wrong. The table below shows all 22 analytical sections in every Semper Signum report:

Research Regimes: What Changes for Private Companies

Not every section applies to every subject. The framework adapts based on three research regimes — public listed, sponsor-backed private, and portfolio company surveillance. Sections are included, adapted, or suppressed based on what data actually exists.

PE-Specific Analytical Modules

When the research regime is sponsor-backed, these additional analytical dimensions activate:

• Returns Analysis — IRR / MOIC build from entry to exit. Debt paydown schedule, multiple expansion sensitivity, and holding period scenario trees.
• Quality of Earnings Linkage — EBITDA normalization, working capital cycle assessment, sustaining vs. growth capex separation.
• Capital Structure — Debt capacity, covenant analysis, refinancing risk, and leverage sensitivity tables.
• Value Creation Plan — Operational levers, revenue growth drivers, margin expansion pathways, and synergy realization timeline.
• Exit Analysis — Multiple exit paths (IPO, strategic sale, secondary recap) with probability weights and return implications per path.
• Commercial Due Diligence Proxy — Customer concentration, pricing power decomposition, net retention signals, and unit economics where inferable from public or provided data.

Information Confidence Grading

Every claim in a private company report carries a confidence tag:

• A — Cited exhibit: Directly sourced from a filing, transcript, or client-provided document.
• B — Client attestation: Confirmed by client-provided data but not independently verifiable.
• C — Modeled interpolation: Derived from available data through analytical inference. Methodology disclosed.

When data is unavailable, the report says so. No section is filled with assumptions disguised as facts.

How Is Institutional Equity Research Valuation Done?

Every report applies three independent valuation approaches and triangulates them to produce a probability-weighted fair value estimate:

• Discounted Cash Flow (DCF) — Multi-stage free cash flow model with explicit assumptions on revenue growth, margin trajectory, capital intensity, and terminal value.
• Comparable Company Analysis — Relative valuation against 10+ peers on EV/EBITDA, P/E, EV/Revenue, and sector-specific multiples.
• Scenario Modeling — Bull, base, and bear cases with explicit assumptions and probability weights. Each scenario maps to a specific price target.

Best practice triangulates all three methods to produce a fair value range rather than a single point estimate. When the three approaches diverge materially, the report explains why and which it weights most heavily.

What Is Variant Perception?

Variant perception is the identification of a specific, material way in which the analyst's view differs from the market consensus — and why that difference is correct. A research report without variant perception is a description of what everyone already knows. It might concern the durability of a competitive moat, the underappreciation of a margin driver, the misinterpretation of a risk, or the mispricing of optionality.

Every Semper Signum investment thesis section requires a stated variant perception before a conviction rating is assigned.

Data Sources

Every report draws from multiple primary and secondary data sources, cross-referenced for accuracy and consistency:

Quality Assurance

Every report undergoes a multi-step verification process before delivery:

• Data cross-referencing — Financial figures are validated against multiple sources to catch transcription or calculation errors.
• Internal consistency checks — The thesis, valuation, and risk sections are checked for logical coherence. A bullish thesis with bearish valuation triggers a review.
• Adversarial review — The analysis is stress-tested against counter-arguments and alternative interpretations of the same data.