income-statement-analysis_skill

This skill analyzes income statements to assess revenue quality, margins, and expense structure, enabling benchmarking and trend insights for informed
  • Python

1

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

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npx veilstrat add skill pedro-mello30/stock-analyst --skill income-statement-analysis

  • SKILL.md2.7 KB

Overview

This skill analyzes income statements (profit & loss statements) to assess a company’s financial performance and trends. It focuses on revenue quality, margin calculation, expense structure, and benchmarking against peers to produce clear, actionable conclusions. The output follows a structured checklist that highlights risks and a concise summary of financial health.

How this skill works

The skill ingests multi-period income statement data (quarterly or annual) and computes key metrics: gross, operating, and net margins, plus EPS when shares data is available. It breaks down operating expenses as percentages of revenue, flags recurring vs non-recurring items, and compares trends across periods and peers. The result is a prioritized analysis covering revenue assessment, margin trends, expense efficiency, competitive position, and key risks.

When to use it

  • Evaluating revenue sustainability and quality.
  • Assessing margin trends and unit economics.
  • Reviewing expense mix and operating leverage.
  • Preparing competitor benchmarking or peer comparisons.
  • Screening for accounting adjustments or one-time items.

Best practices

  • Use at least four quarters or 2–3 years of data for reliable trends.
  • Normalize for one-time events and reconcile GAAP vs non-GAAP adjustments.
  • Express expenses and margins as percentages of revenue for comparability.
  • Compare metrics to industry peers and context-specific benchmarks.
  • Call out stock-based comp, restructuring, and unusual gains/losses explicitly.

Example use cases

  • Due diligence for an acquisition: quantify profitability drivers and risks.
  • Investor research note: summarize revenue drivers and margin outlook.
  • Quarterly earnings review: identify whether improvements reflect operating leverage or temporary items.
  • Sector comparison: benchmark a company’s margins and expense ratios against peers.
  • Management briefing: highlight cost efficiency opportunities and margin recovery actions.

FAQ

Preferably at least four consecutive quarters or 2–3 years of annual statements to detect trends and seasonality.

Should I trust non-GAAP metrics reported by the company?

Treat them as supplementary. Always reconcile exclusions, question removal of stock-based compensation, and prioritize GAAP for long-term assessment.

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income-statement-analysis skill by pedro-mello30/stock-analyst | VeilStrat