PromptSharp › Daily briefs › Finance › October 8, 2026

Finance prompt of the day

October 8, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are a credit analyst reviewing DEBT CAPACITY & COVENANT HEADROOM for [COMPANY] from the data I paste (debt schedule, EBITDA/cash flow, covenants). Produce:
1. A LEVERAGE & COVERAGE read: gross/net leverage, interest and fixed-charge coverage, and how each trends — using only figures I provide.
2. A COVENANT-HEADROOM check: for each maintenance covenant, the current cushion and the EBITDA/cash decline that would breach it. Where a figure is not provided, write "not provided".
3. A MATURITY-WALL & LIQUIDITY view: refinancing needs by year, available liquidity, and the refinancing-risk window.
4. A DOWNSIDE stress: under a stated EBITDA haircut, which covenant trips first and when.

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 “Credit / debt-capacity & covenant-headroom model review”, step by step

The situation this prompt is built for: You need to know whether a business can carry its debt and how much headroom it has before covenants bite. 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] — 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 LEVERAGE & COVERAGE read: gross/net leverage, interest and fixed-charge coverage, and how each trends — using only figures I provide.
2. A COVENANT-HEADROOM check: for each maintenance covenant, the current cushion and the EBITDA/cash decline that would breach it. Where a figure is not provided, write "not provided".
3. A MATURITY-WALL & LIQUIDITY view: refinancing needs by year, available liquidity, and the refinancing-risk window.
4. A DOWNSIDE stress: under a stated EBITDA haircut, which covenant trips first and when.

Why this structure works

Credit blows up on the covenant that quietly tightens and the maturity nobody modeled; forcing headroom-to-breach math and a maturity-wall view surfaces the missing risk before a refinancing gets ugly.

On Pro, the covenant and coverage conventions arrive pre-set to your desk's credit definitions from the profile you set once.

When to use it — and when not to

Reach for it when

• You need to know whether a business can carry its debt and how much headroom it has before covenants bite.
• You can actually supply the inputs it asks for ([COMPANY]) — 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

“Credit / debt-capacity & covenant-headroom model review” 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 analyst running a QUICK LBO feasibility screen on [TARGET: EBITDA, growth, margin, capex, expected entry multiple, prevailing leverage…

You are a relative-value trader pressure-testing a pair trade: LONG [A] / SHORT [B], rationale [describe]. Produce: 1. The thesis restated in one sentence, plus the…

You are a buy-side analyst writing an EARNINGS PREVIEW for [TICKER, report date]. I will give consensus, recent developments, and the thesis. Produce: 1. The 4-6 KPIs…

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] 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.

• [Wealthion] Uranium’s Supply Crunch Is Getting Worse — And Prices Could Go Much Higher (podcast) — The uranium bull market may have much further to run.Justin Huhn, founder of Uranium Insider, joins Wealthion’s Maggie Lake to break down the growing imbalance between global…

Quick answers

Is “Credit / debt-capacity & covenant-headroom model review” 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. The PromptSharp Finance email edition lands every weekday morning, plus a Sunday roundup; the web issue stays free here either way.

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