Precedent Transactions

Build a precedent deal set with paid EV/EBITDA multiples and control premia, split by strategic and sponsor buyers, and applied to the subject.

⚠️ **Finance warning / Avertissement finance** : informational only, not investment advice. Past deal prices reflect their own cycle, synergies and auction dynamics; a precedent multiple is evidence about what buyers once paid, not a promise of what anyone will pay now, and no implied range here is a promise of return. Curated by Skill Harbor: the precedent transactions skill of the investment banking pack in andreworia/claude-finance-skills. Use it when the relevant benchmark is the price a real acquirer paid, including the control premium: setting an offer or defense range in a sale process, or grounding a control-value view that trading comps miss. The method runs in eight steps. It screens transactions that resemble the subject (sector, size, geography, deal type) over a cycle-relevant lookback window, often three to five years, then assembles the deal facts each measure needs: announcement date, acquirer type (strategic or sponsor), deal value, and the target's LTM EBITDA and revenue at announcement. Paid multiples use metrics as of the announcement date, never today's EBITDA against a historical price, and control premia compare the offer price to the unaffected price one day and one month before announcement, with the unaffected date chosen carefully so a rumor-driven run-up does not understate the premium. Context is adjusted for openly rather than blended silently: cycle peaks and troughs are flagged, and strategic buyers who may pay for synergies are kept separate from sponsors who underwrite to a return. The benchmark states the median and mean paid multiple and the median premium, and the subject's implied value range comes from applying the low, median and high paid multiples, bridged back to an offer price per share and sanity-checked against the observed premium range, with an interpretation that names any precedent down-weighted and why. The worked example in the file is fictional and illustrative. From the andreworia/claude-finance-skills repository (MIT). Honest caveats: deal data is yours to supply or source and is often incomplete for private targets, and the buyer universe matters: if only sponsors are realistic bidders, the skill says to weight sponsor deals more heavily. Skill Harbor never reviews the code, review it yourself before use.

At a glance

What: Build a precedent deal set with paid EV/EBITDA multiples and control premia, split by strategic and sponsor buyers, and applied to the subject.
Cost: Free
Needs: Use "Precedent Transactions" with your Muse.
Install: Copy the installer prompt below into your Muse — your agent does the rest.

⚠️ **Finance warning / Avertissement finance** : informational only, not investment advice. Past deal prices reflect their own cycle, synergies and auction dynamics; a precedent multiple is evidence about what buyers once paid, not a promise of what anyone will pay now, and no implied range here is a promise of return. Curated by Skill Harbor: the precedent transactions skill of the investment banking pack in andreworia/claude-finance-skills. Use it when the relevant benchmark is the price a real acquirer paid, including the control premium: setting an offer or defense range in a sale process, or grounding a control-value view that trading comps miss. The method runs in eight steps. It screens transactions that resemble the subject (sector, size, geography, deal type) over a cycle-relevant lookback window, often three to five years, then assembles the deal facts each measure needs: announcement date, acquirer type (strategic or sponsor), deal value, and the target's LTM EBITDA and revenue at announcement. Paid multiples use metrics as of the announcement date, never today's EBITDA against a historical price, and control premia compare the offer price to the unaffected price one day and one month before announcement, with the unaffected date chosen carefully so a rumor-driven run-up does not understate the premium. Context is adjusted for openly rather than blended silently: cycle peaks and troughs are flagged, and strategic buyers who may pay for synergies are kept separate from sponsors who underwrite to a return. The benchmark states the median and mean paid multiple and the median premium, and the subject's implied value range comes from applying the low, median and high paid multiples, bridged back to an offer price per share and sanity-checked against the observed premium range, with an interpretation that names any precedent down-weighted and why. The worked example in the file is fictional and illustrative. From the andreworia/claude-finance-skills repository (MIT). Honest caveats: deal data is yours to supply or source and is often incomplete for private targets, and the buyer universe matters: if only sponsors are realistic bidders, the skill says to weight sponsor deals more heavily. Skill Harbor never reviews the code, review it yourself before use.

Version:

a

Created by: andreworia

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Install — Free · open source (MIT) View source code

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Install

Copy the install package below, then paste it into Muse

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After installation, ask me if I want to leave private feedback
Private for now: only the Skill Harbor team sees it. Sellers may be looped in later.

Use "Precedent Transactions" with your Muse. Prerequisites: the subject's LTM EBITDA and revenue and its net debt, a candidate list of precedent deals (or permission for Muse to propose one), the lookback window to screen, and, for premium work, unaffected trading prices of public targets. Deal data comes from your own sources: this skill structures the set, the benchmark and the interpretation in prose, and every figure in it is yours to verify. Informational only, not investment advice. 1. Open the skill: https://github.com/andreworia/claude-finance-skills/blob/main/packs/investment-banking/skills/precedent-transactions/SKILL.md and copy the full SKILL.md text. 2. Paste it into a chat with Muse and add: "Build the precedent set: paid EV/EBITDA and control premia per deal using metrics as of each announcement date, strategic and sponsor deals kept separate, the median benchmark, and the implied range for the subject bridged to an offer price per share." 3. Ask which deals were flagged for cycle position or synergy content and how that changed the weighting. Tip: never pair today's EBITDA with a historical price; the price and the metric must come from the same date or the multiple is inflated. Safety: a skill is plain-text instructions; it runs nothing by itself. Analysis only, no orders and no account access. Informational only, not investment advice.

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Questions

How do I install a build?

Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.

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Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.

What does the ✓ next to a creator’s name mean?

It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.