earnings-recap
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat earnings", "post-earnings analysis", "earnings surprise", "what happened with GOOGL earnings", "earnings reaction", "stock moved after earnings", "EPS beat or miss", "revenue beat or miss", "quarterly results for", "how were earnings", "AMZN reported last night", "earnings call recap", or any request about a company's recent earnings outcome. Use this skill when the user references a past earnings event, even if they just say "AAPL reported" or "how did they do".
Earnings Recap — An AI Skill for One-Click Post-Earnings Analysis
Skill Overview
Earnings Recap is an earnings review skill powered by Yahoo Finance data (yfinance). Enter any stock ticker to instantly generate a comprehensive post-earnings analysis covering EPS beats/misses, year-over-year revenue growth, stock price reaction, and quarterly financial trends.
Use Cases
- Quick review after an earnings release: After companies such as Apple, Tesla, or NVIDIA announce their earnings, you may want to know immediately whether EPS beat or missed expectations, by how much, and how the stock moved that day—without having to go through the earnings report page by page. Get structured conclusions directly.
- Ongoing portfolio tracking during earnings season: Compare revenue, gross margin, operating margin, and EPS trends over the most recent four quarters to determine whether the company’s performance is improving or deteriorating and to assess its growth momentum.
- Evaluating whether an “earnings rally” can continue: Review the stock’s price changes around the earnings release, compare them with the stock’s average historical movement on earnings dates, assess whether post-earnings gains have held, and combine recent news with analyst ratings to understand market sentiment.
Core Features
- EPS and Revenue Beat/Miss Analysis: Automatically compare actual EPS with analyst expectations, calculate the surprise percentage, and extract year-over-year revenue growth from the quarterly income statement—making it easy to determine whether the earnings report truly exceeded expectations or merely cleared a low bar.
- Quarterly Financial Trends and Margin Breakdown: Using financial statements from the most recent four quarters, calculate the direction of changes in gross margin and operating margin, identify margin expansion or compression, and reveal the quality of earnings behind the headline figures.
- Stock Price Reaction and Market Sentiment Reconstruction: Calculate the change in closing price between the trading day before and the trading day after the earnings release, compare it with the stock’s average historical movement on earnings dates, and summarize recent news and analyst ratings to reconstruct the complete “earnings-to-stock-price” story.
Frequently Asked Questions
Which stocks are supported? Can I check A-shares?
The skill primarily covers markets included in Yahoo Finance. Data for U.S. stocks such as AAPL, TSLA, MSFT, and NVDA is the most complete. Other markets can also be tried as long as the corresponding ticker is available on Yahoo Finance—for example, 0700.HK for Hong Kong stocks and 600519.SS for Shanghai-listed stocks—but field completeness depends on the data source.
Where does the data come from? Does it include earnings call content?
The data is retrieved from Yahoo Finance through the open-source yfinance library. It includes earnings history (estimated EPS vs. actual EPS), quarterly financial statements, and stock price data. The data is provided for research and educational purposes only and may be delayed or incomplete. Details from earnings calls, such as guidance and segment data, may not be included. It is recommended that you verify the information against the company’s official announcements.
How is the post-earnings stock price reaction calculated?
The calculation uses the closing price on the last trading day before the earnings release and the closing price on the first trading day after it. Because companies may release earnings before or after market hours, the analysis examines adjacent closing prices around the earnings date and identifies the largest gap to determine the reaction window. Note that price movements on the earnings date may also reflect broader market trends.
Can the analysis be used as investment advice?
No. This skill only provides an objective data review, including performance comparisons, stock price reactions, and financial trends. It does not predict stock prices or provide buy/sell recommendations. The analysis is for research and educational purposes only; please consider multiple sources of information and make independent decisions.