PromptSharp › Daily briefs › Finance › August 17, 2026

Finance prompt of the day

August 17, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

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) Restate, in a TABLE, the operating drivers you infer from the historicals (revenue growth, gross margin, EBIT margin, capex % of sales, NWC as % of sales, cash conversion). Flag any that look internally inconsistent.
2) Interrogate my forward assumptions line by line. For each, tell me whether it is aggressive, conservative, or in-line versus the historical trend and typical sector ranges, and WHY. Ask me the 5 questions a VP would ask before signing off.
3) Build the implied bridge from this year's EBITDA to the terminal-year EBITDA and tell me what share of the growth is volume, price, margin, or acquisition.
4) List the 3 assumptions the valuation is MOST sensitive to and the ones that are cosmetic.
5) Give me a one-paragraph 'what would have to be true' summary I could defend in a model review.

Do not invent numbers. If something is missing, ask for it. Here are the financials and assumptions:
[PASTE HISTORICALS + YOUR ASSUMPTIONS]

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 “Three-statement driver interrogation + model sanity-check”, step by step

The situation this prompt is built for: You have a working model (or a target's historicals) and want a fast, structured challenge of the assumptions before it goes to a VP or PM. 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.

• [PASTE HISTORICALS + YOUR ASSUMPTIONS] — this is the input the whole output quality hangs on. Each part narrows the answer: paste historicals; your assumptions. Demo fill: your own paste historicals + your assumptions — 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.

Why this structure works

Turns the model review from a formatting pass into an assumptions stress-test, and pre-empts the exact questions a VP/PM will ask. The 'do not invent numbers / ask if missing' guardrail keeps the model honest.

On Pro, arrives tuned to your coverage sector's typical margin/capex ranges and the review emphasis you choose in your profile (e.g. 'pressure-test working capital and any adjustments to EBITDA') — a sharper starting persona, zero editing.

When to use it — and when not to

Reach for it when

• You have a working model (or a target's historicals) and want a fast, structured challenge of the assumptions before it goes to a VP or PM.
• You can actually supply the inputs it asks for ([PASTE HISTORICALS + YOUR ASSUMPTIONS]) — 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

“Three-statement driver interrogation + model sanity-check” 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 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,…

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…

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 [PASTE HISTORICALS + YOUR ASSUMPTIONS] 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 “Three-statement driver interrogation + model sanity-check” 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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