Extracting Key Metrics from Financial Reports

6 min

What you will learn

Identify the most important sections of annual and quarterly financial reports
Use AI to extract specific metrics and KPIs from dense financial documents
Understand the structure of 10-K and 10-Q filings for effective prompting

1 of 7

Extracting Key Metrics from Financial Reports

A 10-K annual filing can be 200+ pages. A quarterly earnings release with supplementary materials might be 50 pages. Nobody reads these cover to cover — not even professional analysts. They know where to look and what to extract.

This lesson teaches you where the critical information lives and how to use AI to extract it efficiently.

←→navigatespacecontinue

Knowledge check

1 of 1

A company reports 15% revenue growth in their quarterly earnings. The MD&A section mentions an acquisition completed during the quarter that contributed $20M in revenue. Total revenue growth was from $200M to $230M ($30M increase). What should you flag?

Key takeaway

Financial reports bury critical information in hundreds of pages. Knowing WHERE to look (MD&A, risk factors, segment data) and WHAT to extract (revenue drivers, margin trends, guidance changes) is the difference between reading a report and understanding it.

Practice Exercise

Hands-on practice — do this now to lock in what you learned

Open an AI assistant and try this:

Download a public company's most recent quarterly earnings release (usually available on their investor relations page). Use the metric extraction prompt to pull out the key numbers. Then find the same report from a year ago and run the year-over-year comparison. What trends emerge?

Open in ChatGPT

Or try it in:Claude Gemini Perplexity

+10 XP when completed

Write your prompt attempt here (optional)