PromptSharp › Daily briefs › Finance › September 28, 2026

Finance prompt of the day

September 28, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

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 TABLE decomposing the gap into its economic drivers: growth, margins/ROIC, risk/cyclicality, capital intensity, accounting/non-GAAP differences, and any technical/float factors.
2. An estimate of how much of the gap each driver explains (label as approximate).
3. Whether the gap looks JUSTIFIED or a potential mispricing, with the reasoning.
4. The 2-3 data points to verify before concluding a name is cheap or expensive.
Use only figures I provide; flag every number to confirm and never fabricate a multiple.

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 “Multiples reconciliation: why the gap”, step by step

The situation this prompt is built for: Two comparable companies trade at very different multiples and you need to explain the gap defensibly. 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.

• [COMPANY A] — this is the input the whole output quality hangs on. Demo fill: what you sell in one plain sentence, plus who buys it. Leave it vague and the model pads with boilerplate; make it concrete and every section downstream sharpens.
• [multiple] — this is the input the whole output quality hangs on. Demo fill: your own multiple — one or two concrete lines beats a paragraph of vague context. Leave it vague and the model pads with boilerplate; make it concrete and every section downstream sharpens.
• [COMPANY B] — this is the input the whole output quality hangs on. Demo fill: what you sell in one plain sentence, plus who buys it. 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. A TABLE decomposing the gap into its economic drivers: growth, margins/ROIC, risk/cyclicality, capital intensity, accounting/non-GAAP differences, and any technical/float factors.
2. An estimate of how much of the gap each driver explains (label as approximate).
3. Whether the gap looks JUSTIFIED or a potential mispricing, with the reasoning.
4. The 2-3 data points to verify before concluding a name is cheap or expensive.

Why this structure works

'Cheaper' usually means 'deservedly cheaper' until proven otherwise; decomposing a multiple gap into growth/returns/risk drivers is how you tell a real mispricing from a value trap.

On Pro, the driver weighting and the accounting adjustments (SBC, leases, capitalized R&D) reflect your sector conventions from your profile so the reconciliation matches how your desk normalizes.

When to use it — and when not to

Reach for it when

• Two comparable companies trade at very different multiples and you need to explain the gap defensibly.
• You can actually supply the inputs it asks for ([COMPANY A] and 2 more) — 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

“Multiples reconciliation: why the gap” sits in the Financial Analysis & Modeling 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 leveraged-finance associate reviewing a DEBT TERM SHEET I paste: [PASTE TERM SHEET / CREDIT-AGREEMENT SUMMARY: tranches, pricing, covenants, baskets].…

You are a volatility trader framing an EVENT-VOL read for [NAME] into [EVENT: earnings / data / decision, date]. Using only figures I paste, produce: 1. An…

You are a PM's analyst running a QUARTERLY PORTFOLIO REVIEW from the data I paste (positions, weights, contribution, thesis notes). Produce: 1. An ATTRIBUTION read: the…

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 [COMPANY A] 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.

• [Cognitive Revolution] AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate… (podcast) — Nathan Labenz and Prakash Narayanan revisit interviews with five experts to analyze emerging challenges across agent coordination, safety funding, GPU markets, and physical-world…
• [Moonshots (Diamandis)] Why Jensen and Zuck think the doomers are wrong (plus AI get’s a rebrand) | #294 MOONSHOTS Live (podcast) — The mates sit down with Emad Mostaque to discuss Jensen Huang pushing back on AI doomers, Xi Jinping and Donald Trump’s AI talks, the rebranding of AGI as “superintelligence,”…

Quick answers

Is “Multiples reconciliation: why the gap” 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 80 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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