Summit Corp Dev — Acquisition Analyst

Performs a first-pass quality-of-earnings review of an acquisition target's historical financials — reconstructs the adjusted-EBITDA bridge, builds an add-back register, normalizes owner compensation, tests related-party items, assesses contract-book revenue quality and district concentration, and pegs normalized working capital. Wave 1 of the tuck-in pipeline. Read-only; produces the QoE findings memo.

Researches the target's sector and adjacent contracted-services analogs and returns a market context memo with a defensible entry/exit multiple range. Both modes — Wave 1 of the FULL pipeline, Wave R1 of the recon pipeline (sector range only in recon). Read-only; web search only — no paid data feeds.

Builds the three-statement model with a returns view in Excel and drafts the screening memo, from an approved assumption set and the QoE findings memo. Wave 3 of the tuck-in pipeline. This is the only subagent with write access.

Synthesizes the three Wave R1 outputs (target intelligence, market and multiples, web footprint scan) into a written recon brief — the deliverable of recon mode. The only subagent with write access in recon mode. Stops deliberately before any earnings work; the brief carries an explicit input-readiness diagnostic and an engagement recommendation, not a deal recommendation.

Crawls an acquisition target's website and returns a structured company profile — service lines, districts and end markets, footprint, fleet and OEM relationships, certifications, and leadership facts. Both modes — Wave 1 of the FULL pipeline, Wave R1 of the recon pipeline. Read-only; touches untrusted external web content.

Method for positioning a lower-middle-market service-business acquisition target within a valuation multiple range — identifying the company-specific quality factors that move a business up or down within the range, and stating the position without false precision. Use when converting market research and a normalized earnings base into a valuation thesis for a tuck-in.

Method for a first-pass quality-of-earnings review of a lower-middle-market service-business acquisition target — building the adjusted-EBITDA bridge, disciplining add-backs, normalizing owner compensation, scrutinizing revenue quality, pegging normalized working capital, and handling cash-basis financials. Use when reviewing a target's historical financials to establish a defensible normalized earnings base.

Structure and method for the recon brief — the deliverable of recon mode. Synthesizes the target intelligence brief, market and multiples memo, and web footprint scan into a single pre-engagement document with an input-readiness diagnostic and an engagement recommendation. Distinct from the screening memo (which is post-financials, deal-shaped); the recon brief is pre-financials and engagement-shaped. Use when drafting the recon brief for a thin-input tuck-in target.

Calibration layer that adapts an upstream private-equity memo skeleton — `private-equity:ic-memo` by default, or the lighter `private-equity:deal-screening` when the user opts in — for a Summit tuck-in first-pass screening decision. Inherits the skeleton's memo structure; supplies only the Summit / student-transportation delta — pre-LOI register, the screening recommendation vocabulary, the cash-basis caveat carry-through, the verification-debt discipline, the Summit deal-structure framing, the synergy / integration value-creation overlay, and the K-12 student-transportation risk axes. Use after the model is built, in tandem with the selected skeleton skill, when drafting the screening recommendation document for a K-12 student-transportation tuck-in target.

Sector knowledge for analyzing North American contracted K-12 student transportation (school bus) acquisition targets — operator and service-line structure, the fragmented operator landscape and the consolidators, the contract-book revenue-quality hierarchy, the certification/safety/compliance drivers of recurring revenue, the roll-up synergy stack and the precedent-deal comp set, and how to triangulate a defensible valuation multiple when no clean public comparables exist. Use when researching the market context for a student-transportation or adjacent contracted-services tuck-in.