PromptSharp › Daily briefs › Finance › September 18, 2026

Finance prompt of the day

September 18, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are an equity/IB analyst constructing a trading-comps universe for [TARGET]. Do the following in order:
1. Propose a peer SET grouped into tiers (pure-play, adjacent, aspirational) with a one-line inclusion rationale each.
2. Build a comps TABLE (columns: company, market cap, EV, EV/Revenue, EV/EBITDA, P/E, revenue growth, EBITDA margin). Where I have not given you a figure, write "pull" — never fabricate.
3. Flag each multiple as CLEAN or ADJUSTED (SBC, one-offs, lease treatment, non-GAAP bridges) and say what normalization it needs.
4. Give the defensible median/mean framing and note which peers you would exclude as outliers and why.

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.

What changed for Finance

How to run “Comparable-companies universe + clean-vs-adjusted multiples grid”, step by step

The situation this prompt is built for: Building trading comps and you want a peer set you can defend plus multiples flagged clean vs adjusted. 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.

• [TARGET] — this is the input the whole output quality hangs on. 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.

What the model hands back

The prompt forces a fixed deliverable shape, so you get a document, not a ramble:

1. Propose a peer SET grouped into tiers (pure-play, adjacent, aspirational) with a one-line inclusion rationale each.
2. Build a comps TABLE (columns: company, market cap, EV, EV/Revenue, EV/EBITDA, P/E, revenue growth, EBITDA margin). Where I have not given you a figure, write "pull" — never fabricate.
3. Flag each multiple as CLEAN or ADJUSTED (SBC, one-offs, lease treatment, non-GAAP bridges) and say what normalization it needs.
4. Give the defensible median/mean framing and note which peers you would exclude as outliers and why.

Why this structure works

A comps table is only as good as the peer logic and the clean/adjusted discipline behind it; tiering the peers and flagging every distorted multiple is exactly the review a senior banker runs before it hits a page.

On Pro, the peer tiers and normalization conventions come pre-set to your sector (e.g. lease-adjusted metrics for retail, SBC treatment for software) based on your saved coverage profile.

When to use it — and when not to

Reach for it when

• Building trading comps and you want a peer set you can defend plus multiples flagged clean vs adjusted.
• You can actually supply the inputs it asks for ([TARGET]) — 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

“Comparable-companies universe + clean-vs-adjusted multiples grid” 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:

You are a trader mapping catalysts for [TICKER / theme]. I will give the known events (earnings, data, product, regulatory, macro). Produce: 1. A CATALYST calendar…

You are a PM building a scenario framework for [TICKER]. I will give the thesis and key drivers. Produce: 1. THREE scenarios (bull, base, bear) each with: the 2-3…

You are a valuation analyst reconciling a multiple gap. [COMPANY A] trades at [multiple] and [COMPANY B] at [multiple]. I will give their financials. Produce: 1. A…

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 [TARGET] 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.

Where AI is landing for investment banking right now

Context for today’s prompt, from the same screened sources the daily brief reads. Our read, with sources linked — the pattern across items like these is consistent: the professionals getting leverage from AI are the ones feeding it real working context, which is exactly the muscle today’s prompt trains.

• [Moonshots (Diamandis)] Frontier Labs Want to Slow Down, OpenAI Delays Its 2026 IPO, Anthropic Flags 5 Bioweapon Cases… (podcast) — The mates discuss the growing push to slow the AI race, OpenAI’s delayed 2026 IPO, Anthropic flagging five potential bioweapon cases, and what a broader AGI slowdown could mean…
• [Cognitive Revolution] No Code Is Code: Zapier CEO Wade Foster on Headless Tools, Zapier MCP & Automation Bench (podcast) — Zapier CEO Wade Foster joins Nathan to explore the shift toward headless AI tools and how Zapier MCP brings workflows and context directly into users' daily drivers. Drawing on…

Quick answers

Is “Comparable-companies universe + clean-vs-adjusted multiples grid” 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.

More daily AI prompt briefs

The same free weekday format, tuned to other crafts:

• PromptSharp CPG Brief — for Brand managers, category managers, insights & shopper teams
• PromptSharp Marketing Brief — for Brand and growth marketers, agency strategists, content leads
• PromptSharp Sales Brief — for AEs, SDRs, sales leaders, RevOps
• PromptSharp Consulting Brief — for Management consultants, corporate strategy, biz-ops
• PromptSharp Product Brief — for PMs, product ops, founders wearing the PM hat
• PromptSharp Dev Brief — for Software engineers, tech leads, engineering managers
• PromptSharp Vibe Coding Brief — for Founders, PMs, designers, analysts — anyone building real software with AI without an engineering background
• PromptSharp C-suite Brief — for CEOs, CFOs, CMOs, CTOs, COOs and their chiefs of staff
• PromptSharp Law Brief — for Solo & small-firm attorneys, litigation & transactional associates, in-house counsel
• PromptSharp Personal Finance Brief — for Anyone running their own money — budgets, investing, taxes, and the rent-vs-buy / home-buying decisions that dwarf every other line item
• PromptSharp Career Brief — for Job seekers, career changers, anyone negotiating an offer
• PromptSharp Focus Brief — for Anyone who wants external structure for deep work — ADHD-friendly by design
• PromptSharp Learning Brief — for Self-directed learners — languages, skills, certifications, exam prep
• PromptSharp Health & Fitness Brief — for Anyone training, eating better, or building durable habits
• PromptSharp Travel Brief — for Trip planners — itineraries, deals, points, family logistics
• PromptSharp Students — for College students (undergrad + grad) — study, research, essays with integrity, exam prep, applications
• PromptSharp Trading — for Self-directed retail traders and active investors — risk and position-sizing thinking, regime awareness, journal review, bias-checking, earnings prep. Your own account, your own process.

← 2026-09-17 · All Finance issues