|VALUATION

Peer comparables

Peer comparables

Peer comparables

Compares a company with its peers on valuation, growth, margins, returns, leverage and sentiment, and says whether its premium or discount is justified.

Run it

Claude/bigdata-peer-comparables
ChatGPT@bigdata-peer-comparables
Claude Code/bigdata-com:bigdata-peer-comparables

Or ask in plain words. The skill starts when your request matches it.

Run it

Claude/bigdata-peer-comparables
ChatGPT@bigdata-peer-comparables
Claude Code/bigdata-com:bigdata-peer-comparables

Or ask in plain words. The skill starts when your request matches it.

Overview

Short answer

Peer comparables is a valuation skill by Bigdata.com. It compares a company with its peers on valuation, growth, margins, returns, leverage and sentiment, and says whether its premium or discount is justified. You give it a company name or ticker. You get a comps table with a relative verdict and inline citations.

You give

Company name or ticker · Optional: the peers to include

You get

A comps table with a relative verdict and inline citations.

Each note is grounded in Bigdata.com content: news, filings, earnings call transcripts and market data, with citations you can open.

  1. 01The peer set, with the reason for each inclusion and exclusion
  2. 02Comps table: multiples, growth, margins, returns, leverage
  3. 03Peer median and quartile position for each metric
  4. 04Whether the premium or discount is justified by fundamentals
  5. 05Sentiment and sell-side posture across the peers
  6. 06A relative attractiveness verdict
  7. 07Sources with inline citations

Try asking

Prompt 01

“Compare Visa to its peers”

Prompt 02

“Is Airbus cheap relative to peers?”

Prompt 03

“Comps table for Snowflake”

Open a prompt in Claude or ChatGPT, or copy it. Change the company or the quarter to your own. If Bigdata.com is not connected yet, the assistant helps you add it first.

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A full institutional investment memo: thesis, where the view differs from consensus, valuation, risks, catalysts, and a recommendation with a conviction level.

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Install once, in the tool you use

One install adds every skill and the connection to Bigdata.com. Sign in with your Bigdata.com account; new accounts start with free credits.

Claude

Open the Bigdata.com plugin in the Claude directory (Customize → Plugins → Browse → Partners) and click Install. Sign in with your Bigdata.com account when asked. On Team and Enterprise plans, an admin adds the Bigdata.com connector first.

Open the plugin in Claude

ChatGPT

Go to Settings → Apps, click Add more, choose Bigdata.com and click Connect to sign in with your Bigdata.com account. The skills come with the app. On Business and Enterprise workspaces, an admin enables the app first.

Open in ChatGPT

Copilot Cowork

Open Customize in Microsoft 365 Copilot Cowork, search for Bigdata and click Install. Sign in with your Bigdata.com account when asked.

Open in Copilot Cowork

Claude Code

Create an API key on the Bigdata.com Developer Platform and add the Bigdata.com MCP server with it. Then run /plugins in Claude Code and install the Bigdata plugin from the official marketplace.

claude mcp add --transport http bigdata_com https://mcp.bigdata.com/ --header "x-api-key: YOUR_API_KEY"
Read the Claude Code guide

Skills produce research and analysis, not investment advice. Check every number before you act on it.

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