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Earnings Recap Analysis

Your AI analyzes a company's latest earnings: actual vs estimate, surprise, revenue/margin trends, and stock reaction—using Yahoo Finance data. No setup required.

Try asking: “Give me a recap of MSFT's latest earnings with price reaction”

himself65 on GitHub

Curated by PromptsEdge from a public repo · MIT license. All credit goes to the author.

What is this skill?

After a company reports earnings, understanding the results and market reaction is crucial. With this skill, your AI delivers a concise post-earnings analysis, showing whether the company beat or missed, the size of the surprise, recent financial trends, and how the stock moved. It's perfect for investors, analysts, and anyone who wants a clear recap of quarterly results.

What you can do

  • See whether a company beat or missed EPS and by how much (e.g., "AAPL: Beat by $0.07, +5% surprise").
  • Review quarterly revenue, margin, and EPS trends for the last four quarters (e.g., "Revenue up 8% YoY, margins steady").
  • Check the stock’s price reaction on earnings day and compare to its average move (e.g., "NVDA: +4% on report, average move +2.5%").
  • Get context on margin trends and revenue growth trajectory (e.g., "Margins expanding for three consecutive quarters").

How it works

Your AI uses Python and yfinance to pull the latest earnings data from Yahoo Finance. It compares actual results to estimates, calculates the surprise, tracks recent financial trends, and fetches the stock’s price move after the report. The result is a structured, easy-to-read recap that highlights what mattered most.

Good to know

  • Requires Python 3.8+; yfinance installs automatically if missing.
  • No authentication or API keys needed.
  • Works on all platforms (Claude Code, Claude.ai, etc.).