Skillsearnings-preview
E

earnings-preview

Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview for AAPL", "what to expect from TSLA earnings", "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.

Earnings Preview — Stock Earnings Report Preview Analysis Skill

Skill Overview

Earnings Preview is an earnings-report analysis skill based on Yahoo Finance data. Before any company releases its earnings report, it automatically integrates the earnings release date, consensus EPS and revenue estimates, historical beat/miss records, and analyst sentiment to generate a one-page earnings preview brief.

Use Cases

  1. Quick preparation before an earnings release — Enter “earnings preview for AAPL” or “What are the expectations for TSLA’s earnings next week?” to receive the earnings release date (pre-market/after-hours), market capitalization, recent stock performance, and market consensus estimates, allowing you to complete your preparation for the earnings call in just a few minutes.
  2. Assessing expectations and the company’s track record of delivering — Review the EPS and revenue estimate ranges provided by covering analysts, along with the magnitude of beats or misses versus expectations over the past four quarters, to determine whether current expectations are relatively easy or demanding.
  3. Reviewing multiple companies during earnings season — Before a period of concentrated earnings releases, quickly compare analyst rating distributions (from Strong Buy to Strong Sell), target-price ranges, and implied upside/downside for multiple companies to decide which earnings reports deserve closer attention.

Core Features

  1. Earnings date and key information: Automatically retrieves the next earnings date and whether the release is pre-market or after-hours, ex-dividend date, industry, market capitalization, and stock performance over the past week and month to provide the background environment ahead of the earnings release.
  2. Consensus estimates and historical beat/miss records: Summarizes average, low, and high EPS and revenue estimates, the number of covering analysts, and year-over-year growth; it also lists estimates, actual results, and beat/miss percentages for recent quarters. When the estimate range is unusually wide, it flags elevated uncertainty.
  3. Analyst sentiment and key issues to watch: Displays the distribution of analyst ratings, low/median/high target-price ranges, and the implied upside/downside relative to the current price. Based on recent quarterly financial data, it identifies 3–5 issues the market is likely to focus on, such as revenue growth and margin trends.

Frequently Asked Questions

Where does the data come from, and how accurate is it?

The data is obtained from Yahoo Finance through yfinance and covers the earnings calendar, consensus estimates, historical earnings performance, and analyst ratings. The data may lag the real-time consensus by several hours, and analyst estimates can be revised at any time before the earnings release. Always refer to the latest data on the day of the release.

How do I use it to analyze a stock’s earnings?

Simply provide the ticker symbol or company name. For example, say “Prepare an earnings preview for NVDA” or “What are analysts expecting from GOOGL’s upcoming earnings?” The skill will retrieve the necessary data in one pass and produce a brief covering five sections: earnings date, consensus estimates, historical records, analyst sentiment, and key issues to watch.

Can it predict whether the stock will rise or fall after earnings?

No. This skill organizes market consensus and historical data for research and educational purposes only and does not constitute investment advice. A history of consistently beating expectations does not guarantee another beat, and differences between estimates and actual results will always exist.