Explain a Profit and Loss Report in Plain Words

7 min readBy Siqwes

When you explain a profit and loss statement to a client, plain words help more than jargon. AI can draft the explanation from a made-up sample report, so you shape the wording first and add real figures yourself later.

Many clients look at a profit and loss report and see a wall of numbers. A request like "explain this P&L" gets a generic answer, often full of jargon. Pasting a client's real report into a chatbot is the shortcut this method leaves out.

How do you explain a profit and loss report with AI?

Paste your practice profile and the prompt below into ChatGPT. It's free to use, and in the U.S. you can start before creating an account. The prompt carries a made-up profit and loss summary and asks for a short plain-language explanation, two owner questions and a list of every number used.

What are the steps to explain a P&L in plain words?

Five steps take you from a sample report to a saved template. Your firm's AI rule and client confidentiality come first. The confidentiality rule is simple: the AI sees made-up numbers and your practice profile only, while client names, SSNs, account numbers, tax return information, transactions and exports stay in your accounting software and your firm's approved systems.

  1. Check your firm's rule on AI tools.
  2. Write a short practice profile: your role, your typical clients in general terms, your main software, how you write to clients, and what AI leaves to you, such as calculations and advice.
  3. Paste your profile and the prompt below into ChatGPT.
  4. Improve it in the same chat, such as "Shorter," then check every number (see below).
  5. Save the profile, and save the prompt as your Report Explainer Template.

Like we saw in Day 2 of our free educational series for bookkeepers, good practice prompts cover five things we call BOOKS. The first is Background: your role and the kind of client, in general terms.

What profit and loss prompt can you copy?

This prompt is written for practice with a made-up sample report. It asks for one short sentence per line, what net profit means next to cash in the bank, and two questions for the owner. It also asks the AI to use only those numbers and to list each one it used.

Why does each part of the prompt matter?

Each part of the prompt has one job, from the profile at the top to the number list at the end. Together they follow the BOOKS pattern. Knowing each job helps you fill in the prompt well and spot a draft that drifts from the sample.

  • Your practice profile. It describes your practice in general terms, so the explanation matches how you write to clients.
  • The MADE-UP label. It tells the AI the figures are for practice, and it reminds you the sample stands in for a client report.
  • Seven sample lines. Sales, costs, wages, rent, software, other expenses and net profit give a simple report to explain.
  • A two-minute read for an owner. This sets the length and the reader.
  • One sentence per line. Short definitions are easy for a client to scan.
  • Net profit and cash. This part covers an important point: profit and cash in the bank are different things.
  • Two owner questions. These help the client start a conversation with you.
  • The number rules and the list. They ask the AI to use only the sample figures and list every number it used, so you can check each one.

What's another way to explain the report?

The same chat can reshape the explanation for different clients. Ask for one change at a time, then check the new version against the sample. These follow-ups come from the same lesson, and each one fits a different way you send reports to clients.

  • Shorter: reply "Shorter," and compare the new version with the first.
  • A service business: ask it to "Explain 'cost of materials' for a service business."
  • A monthly email: ask for a three-bullet summary version you can paste into a monthly client email.
  • Mostly spreadsheets: ask for a one-paragraph "how to read this sheet" note for clients, using your column headers only.

Each version stays built on made-up numbers. Save the one that fits your practice beside your template.

What does it look like before and after?

Here is a before-and-after with placeholders: the before is your profile and the prompt with the sample report. The after is the shape the explanation should come back in. Check it against the seven sample figures before you save anything.

Before (what you paste):

  • Practice profile: [My role], [Typical clients, in general terms], [Main software], [How we write to clients]
  • The prompt, with the made-up sample report as written

After (the shape to expect):

  • One short sentence for each line: [Sales], [Cost of materials], [Wages], [Rent], [Software and subscriptions], [Other expenses], [Net profit]
  • A short note on net profit and cash in the bank
  • Two questions the owner might ask
  • A list of every number used and where it came from

Say a bookkeeper runs the prompt framed as a small landscaping business. If it adds a profit margin percentage, the used-numbers list shows the AI calculated it, so the bookkeeper deletes it.

What are common snags and fixes?

Most snags come from new numbers, judgment words or terms that need a clearer meaning. Each has a small fix in the same chat or in your own copy. Here are the ones to watch for, each phrased as a change to try before you save the template.

  • If a new figure or percentage appears, try deleting it. Percentages come from your software.
  • If a word like "healthy" or "too high" appears, try removing it, since judgment words read as advice.
  • If a term is explained loosely, try correcting it and adding a line to your profile's limits.
  • If the explanation runs long, try "Shorter" in the same chat.

How do you check the explanation?

Compare every number in the explanation with the sample report. Each figure should appear in the sample, each sentence should explain rather than judge, and the used-numbers list should match the seven figures exactly. This checklist helps you confirm the draft before you save the template:

  • Every number matches the sample, with new figures and percentages deleted.
  • Judgment words such as "healthy" or "you should" are removed.
  • Net profit and cash in the bank are explained as different things.
  • Real figures go in later, in your own document, after the AI step.

This check points you to the places to look. Your own read against the sample is the final step.

What do bookkeepers ask about explaining reports?

These questions come up when bookkeepers start using an explainer template. The answers below come from the same lesson, and they assume made-up numbers throughout. What a report means for a client's business is a question for your firm's reviewer or a CPA to confirm.

Can I paste a client's real P&L?

Use the made-up sample or numbers you invent. When you use the template with a real client, fill in real figures yourself, in your own document, after the AI step.

Can it work out margins for me?

Percentages come from your accounting software. The prompt asks the AI to use only the numbers given, so you can check every figure.

Does this work for other reports?

Yes. The same pattern suits a balance sheet explainer built from invented numbers, with the same checks.

What's one more tip?

When the AI explains a term loosely, add a line to your practice profile so the next draft starts from it. Say "retained earnings" comes back as money saved in the bank. Correct it, then add a line asking for equity to be described accurately.