Industry Analysis in Private-Equity Diligence

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Private-equity diligence is a layered exercise. Commercial diligence assesses the market and the company's position within it. Financial diligence audits the historicals and tests the projections. Operational diligence walks the floor and meets the team. Legal diligence reviews contracts and encumbrances. Each layer answers a different question, generates its own paper trail, and produces an opinion that the deal team integrates before committing capital.

Within commercial diligence, one layer in particular is where industry-level analysis lives. The question is what kind of industry the target operates in — its structure, its operating norms, its physical and geographic shape — independent of the specific company under review. That layer is the empirical substrate from which the rest of the commercial argument is built. It is also, in the publisher's observation, the layer where the available reference material is thinnest.

Industrial Patterns™ publishes against that gap. This page describes what industry analysis brings to a diligence question, how the academic literature has framed the subject, why federal data is the right empirical substrate, and how the catalog's three modules map onto the work. It is descriptive, not prescriptive — the case for the layer, not a method for executing the broader diligence.

The frame most diligence teams reach for is Michael Porter's Five Forces. First published in Harvard Business Review in 1979and formalized in Competitive Strategy the following year, the framework asks five questions of an industry: how concentrated rivalry is among existing competitors, how easy or hard it is for new entrants to come in, how much bargaining power buyers and suppliers have, and how exposed the industry is to substitutes. The framework remains the lingua franca of industry analysis in business-school curricula, consulting decks, and PE diligence summaries. It is not the only frame, but it is the one most decision-makers grew up with.

Forty-seven years of subsequent work have both validated and refined the original. McGahan and Porter, working with large empirical samples in the 1990s, found that industry effects explain roughly 18 percent of variance in firm profitability — meaningful, but firm-level effects matter more. The productivity-dispersion school (Syverson, Hortaçsu, Bartelsman) has documented that the within-industry distribution of operating performance is enormous, and that an industry's average performance is often a poor summary of what individual firms actually look like. The implication for diligence is that the industry-level question is not just "is this a good industry" (the Five Forces frame) but "where in the industry's distribution does this firm sit, and how stable is that position over time" (the dispersion frame).

The two frames are complementary. Five Forces supplies the structural narrative; the dispersion school grounds it in measurable data. A diligence pack that carries both is materially stronger than one that carries either alone.

The empirical material for industry-level analysis exists, and it sits in the federal statistical system. The U.S. Census Bureaupublishes the Economic Census every five years and County Business Patterns annually, both at the six-digit NAICS level. The Bureau of Labor Statistics publishes the Quarterly Census of Employment and Wages and the Occupational Employment and Wage Statistics survey at the same granularity. The IRS Statistics of Income publishes industry-level balance sheet and income statement summaries. The Bureau of Economic Analysis publishes industry value-added and depreciation.

These are the same sources academic industrial economists use to study industry structure and dispersion. They are publicly available; they are reproducible; and they have not historically been organized into a buyer-ready reference format for diligence teams. That gap is what the publisher's catalog addresses.

Industrial Patterns is organized around three complementary lenses, each addressing a different facet of the Five Forces and dispersion question. The three modules are described in their own reference pieces (Operating Benchmarks, Industry Structure, Add-On Density Atlas); what follows summarizes how each lens lands in the diligence layer.

The Operating Benchmarks module addresses rivalry and operating performance. It maps the within-industry distribution of margins, labor productivity, capital efficiency, and growth at the six-digit NAICS level, with percentile markers (p10 / p50 / p90) and dispersion measures. The output describes where in the industry's distribution a firm sits, and where it would need to move to reach a different percentile.

The Industry Structure Reference module addresses threat of entry, rivalry concentration, and industry dynamics. It maps firm count, concentration ratios, fragmentation depth, and the structural condition of the peer set at the same six-digit NAICS level. The output describes the kind of industry structure the peer set sits in — fragmented, consolidating, concentrated — and how stable that structure has been across the published windows.

The Add-On Density Atlas module addresses the geographic dimension of bargaining power, supplier proximity, and consolidation runway. It maps establishment density at the county level across the same six-digit NAICS codes, with five-year and three-year drift windows on a comparable-cell panel. The output describes where a firm's national footprint sits, where the industry's national footprint has filled or thinned, and how that geography has shifted across recent years.

Each module is descriptive, reproducible from federal sources, and updated annually. The reports are designed to be cited in a diligence pack alongside the deal team's own commercial-diligence work — not to replace that work, but to ground it. The same argument extends to buy-and-build settings, where the geographic and structural layers carry particular weight in shaping the platform-and-bolt-on thesis.

Industry analysis is not the deal team's only job, and the publisher does not claim otherwise. The commercial-diligence consultant, the financial-diligence accountant, the operational-diligence partner, and the legal-diligence counsel each carry the bulk of the work. What the industry-analysis layer provides is the empirical baseline against which the other layers are calibrated — the description of what is normal in the industry, and where a specific firm sits relative to normal. Industrial Patterns publishes that baseline. The diligence team builds on it.

For the broader argument on why descriptive reference material is the right starting point for industrial decision-making, see The Case for Industry Reference. For the related discussion of how this reference base lands in roll-up and platform-and-bolt-on settings, see Buy-and-Build in Mid-Market US Manufacturing.

Hammer, B., Knauer, A., Pflücke, M., & Schwetzler, B. (2017). Inorganic growth strategies and the evolution of the private equity business model. Journal of Corporate Finance, 45, 31–63.

Hortaçsu, A., & Syverson, C. (2007). Cementing relationships: Vertical integration, foreclosure, productivity, and prices. Journal of Political Economy, 115(2), 250–301.

Mauboussin, M. J. (2006). More Than You Know: Finding Financial Wisdom in Unconventional Places. Columbia Business School Publishing.

McGahan, A. M., & Porter, M. E. (1997). How much does industry matter, really? Strategic Management Journal, 18(S1), 15–30.

Porter, M. E. (1979). How competitive forces shape strategy. Harvard Business Review, 57(2), 137–145.

Porter, M. E. (1980). Competitive Strategy: Techniques for Analyzing Industries and Competitors. Free Press.

Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49(2), 326–365.