PromptSharp › Daily briefs › Finance › September 16, 2026

Finance prompt of the day

September 16, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are an M&A associate building a buyer universe for a target I describe. Produce two things:

A) A strategic + financial buyer LONGLIST. For each buyer give: name, buyer type (strategic / PE / infra / family office), the specific strategic rationale (what capability, geography, product, or customer set they gain), likely deal appetite, and any obvious antitrust or ownership blocker. Group by 'most logical', 'plausible', and 'wildcard'. Do not pad the list — quality over count.
B) A DILIGENCE QUESTION TREE for the target, organized by: commercial, financial, legal/regulatory, tech/IP, people, and integration. Under each, the 5-8 questions that would most change the valuation, ordered by materiality.

Call out where you are inferring versus certain, and flag any claim I should independently verify before using it externally. Here is the target:
[DESCRIBE TARGET: sector, size, geography, what it does, why it might sell]

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.

How to run “Strategic-buyer longlist + diligence question tree”, step by step

The situation this prompt is built for: Early-stage sell-side or a pitch: you need a defensible universe of logical acquirers and the diligence questions each raises. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.

What each placeholder does

Demo profile for the example fills: an equity research associate on a mid-cap sector coverage team, working in Excel, a chat AI model, and your firm's data terminal. Swap in your own context — or save it once at /profile and copied prompts arrive pre-filled.

• [DESCRIBE TARGET: sector, size, geography, what it does, why it might sell] — this is the input the whole output quality hangs on. Each part narrows the answer: describe target: sector; size; geography; what it does; why it might sell. Demo fill: the specific name plus one line of context — e.g. “Meridian Foods, packaged-food carve-out, sponsor-backed, first institutional process”. Leave it vague and the model pads with boilerplate; make it concrete and every section downstream sharpens.

Why this structure works

Gets you from a blank buyer list to a grouped, rationale-tagged longlist plus the diligence spine in one pass — and the 'infer vs certain / verify externally' flag keeps you from putting an AI guess in front of a client.

On Pro, this prompt arrives pre-tailored to the profile you set once (role, sector coverage, firm type) — the buyer-universe framing, sector vocabulary, and diligence-tree emphasis match your coverage, so you paste with zero editing.

When to use it — and when not to

Reach for it when

• Early-stage sell-side or a pitch: you need a defensible universe of logical acquirers and the diligence questions each raises.
• You can actually supply the inputs it asks for ([DESCRIBE TARGET: sector, size, geography, what it does, why it might sell]) — this prompt is an amplifier for real context, not a substitute for it.
• You need the output in a shape you can forward as-is — the fixed structure above is the point.

Skip it when

• You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
• The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.

Adapting today’s prompt for adjacent roles

“Strategic-buyer longlist + diligence question tree” sits in the Banking lane of the finance pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:

Act as the sharpest bear on the other side of my trade. I will give you the thesis, the instrument, the entry, the sizing, and my time horizon. Do this: 1) Restate my…

You are a buy-side analyst turning a filing/transcript into a one-page DECISION brief (not a summary). I will paste the document. Output: 1) The 3 things that actually…

You are a skeptical senior analyst reviewing a three-statement model. I will paste the key financials and my forecast assumptions. Do the following, in this order: 1)…

Common failure modes (and the fixes)

• Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify externally before relying on it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Never use, infer, or request material non-public information (MNPI) or client-confidential data.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: filling [DESCRIBE TARGET: sector, size, geography, what it does, why it might sell] with a vague summary. The output can only be as specific as this input — generic context in, generic deliverable out. Fix: paste raw specifics (real names, real numbers, real constraints), then trim the model’s output, not your input.
• Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.

Quick answers

Is “Strategic-buyer longlist + diligence question tree” free to use?

Yes — every weekday issue of the PromptSharp Finance publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.

Which AI model does this prompt work with?

Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.

How is the finance prompt of the day chosen?

Deterministic rotation over the curated finance pool — currently 75 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.

What goes in the [BRACKETED] placeholders?

Your context — the walkthrough above covers each one. The short rule: the more concrete the fill (real names, numbers, constraints), the sharper the output. Save your details once at /profile and web copies arrive pre-filled.

How do I get this in my inbox instead?

The capture form above — PromptSharp Finance status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.

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