analyst-estimates

Fetch consensus revenue and EPS estimates for public companies.

130|13|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/OctagonAI/skills --skill analyst-estimates-octagonai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyst-estimates
Source: https://github.com/OctagonAI/skills/tree/main/skills/analyst-estimates
Command: npx skills add https://github.com/OctagonAI/skills --skill analyst-estimates-octagonai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyst estimates for public companies are used to inform forward-looking forecasts and valuation decisions; this skill retrieves revenue and EPS projections with consensus ranges and coverage details to accelerate decision making.

Core Features & Use Cases

  • Retrieve quarterly and annual Revenue estimates with consensus ranges
  • Retrieve EPS estimates with consensus, coverage counts, and revisions
  • Use cases: forward forecasting, valuation inputs, benchmarking against historical performance

Quick Start

Ask the agent to retrieve analyst estimates for a ticker for the desired period and limit.

Frequently Asked Questions about analyst-estimates

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get consensus analyst estimates for a public company ticker?

You retrieve consensus analyst estimates by querying a public company ticker for a specified period. The skill provides forward-looking revenue and EPS projections with consensus ranges and coverage counts.

What financial data do I need for forward-looking revenue forecasting?

Forward-looking revenue forecasting requires consensus analyst estimates, which include quarterly and annual revenue projections, consensus ranges, and analyst revision data to inform valuation models.

Can I retrieve EPS estimates with analyst coverage counts and revisions?

Yes, you can retrieve EPS estimates with consensus data, coverage counts, and revisions. This data is available for both quarterly and annual horizons to support valuation tasks.

Does this skill support quarterly and annual horizons for valuation inputs?

Yes, the skill supports both quarterly and annual horizons for retrieving analyst estimates. It produces structured outputs with clear field mappings suitable for tabular presentation and valuation inputs.

What is the best way to benchmark historical performance against forward estimates?

Benchmarking historical performance against forward estimates involves retrieving consensus revenue and EPS projections with revision data. This provides the necessary forward-looking valuation inputs to compare against past results.