Business models
Concepts: investing · moats · industry-analysis · business-analysis
Business models
The best business models do not merely sell a product; they control a coordination point while leaving the underlying risk with customers. In a two-sided market, participation improves the venue, which attracts still more participation. CME illustrates the pattern: concentrated liquidity, open positions, clearing, and market data reinforce one another, while CME collects fees without taking traders’ directional exposure cme-group-cme cme-group-and-the-business-of-being-the-toll-bridge-for-risk. Copart similarly connects insurers with a broad salvage-buyer network while generally avoiding vehicle ownership copart-and-the-salvage-auction-marketplace-that-keeps-getting-wider. The newest evidence therefore sharpens the model: the moat is not the visible asset or current margin, but control of a difficult-to-recreate point where transactions must converge industry-mechanisms monopoly-and-moats.
A second mechanism is economies of density: each well-chosen unit of volume makes the existing network more useful or economical. Old Dominion combines terminal density, reliable service, and selective pricing; refusing unattractive freight protects the loop rather than maximizing activity for its own sake old-dominion-freight-line-and-the-ltl-network-that-compounds-by-refusing-bad-freight. Saia shows the uncertain side of the same wager: terminals and equipment create potential reach, but returns emerge only if shipment density and execution catch up with the capital invested saia-and-the-ltl-network-still-being-built. IAA provides the broader warning. It occupied a structurally scarce salvage network, yet weaker execution and greater financial complexity produced a less attractive outcome than Copart’s iaa-and-the-salvage-auction-second-fiddle.
The practical test is to trace the reinforcing loop rather than label the business “asset-light,” “recurring,” or “networked.” Identify what becomes better as volume grows, who bears inventory or market risk, whether customers gain by clustering, and whether management can reject revenue that degrades the system. Then invert the thesis: ask what would let participants coordinate elsewhere, make capacity outrun density, or tempt the operator into leverage and low-quality volume. If growth strengthens a scarce control point without proportionally increasing capital or risk, upside can widen while downside remains bounded; if growth merely adds assets, transactions, or complexity, the supposed moat may be only scale wearing a clever costume industry-analysis monopoly-and-moats.
Connections
Sources (11)
- blogCME Group: the toll bridge that gets wider every time someone trades
- blogCME Group: the toll bridge that gets paid on both fear and greed
- blogCME Group: the clearing house is the moat, and open interest is the cornered resource
- blogCopart and the salvage auction that keeps getting wider
- blogIAA: the salvage auction second fiddle that proved the network was scarce
- blogWhy I built an industry-analysis machine
- blogOld Dominion Freight Line: the LTL network that compounds by refusing bad freight
- blogSaia and the LTL network still being built
- blogServices are eating software
- knowledgeIndustry mechanisms
- knowledgeMonopoly and moats
History (3 prior versions)
- v4 · 2026-07-20 · current
- · 2026-05-12
- · 2026-05-25
- · 2026-07-06