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look-06-input-output-efficiency

Compute working-capital, fixed-asset, and labor-productivity metrics from financial statements.

2|1|Updated Apr 17, 2026
Search Tags:#benchmarking#efficiency#financial-analysis#turnover#operating-capital#per-capita
One-click install
npx skills add https://github.com/shadowinlife/nano_quant_skills --skill look-06-input-output-efficiency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: look-06-input-output-efficiency
Source: https://github.com/shadowinlife/nano_quant_skills/tree/main/2min-company-analysis/look-06-input-output-efficiency
Command: npx skills add https://github.com/shadowinlife/nano_quant_skills --skill look-06-input-output-efficiency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires duckdb, and includes scripts (resource) components.

What problem does it solve?

This skill helps analysts quantify how efficiently a company converts revenue into working capital, fixed assets, and labor costs, and compares performance against industry peers.

Core Features & Use Cases

  • Compute one-unit revenue capital needs (WC per revenue), fixed-asset intensity (fix_assets per revenue), and labor-productivity metrics (revenue per labor cost) across multiple years.
  • Benchmark against SW L3 peers by market cap, surfacing per-year comparisons and a peer Benchmark summary.
  • Support true per-capita analysis when an employee-count bundle is provided; enables revenue and profit per employee calculations and flags data gaps for user review.

Quick Start

Run look-06 with your stock and as-of date to obtain the efficiency metrics, and optionally supply a JSON employee-count bundle to enable real per-capita calculations.

Frequently Asked Questions about look-06-input-output-efficiency

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

FAQPage Schema
How do I benchmark a company's input-output efficiency against industry peers?▼

Benchmarking input-output efficiency involves computing working-capital-per-revenue, fixed-assets-per-revenue, and labor-productivity metrics from financial statements, then comparing them against SW L3 peers by market cap to surface per-year performance gaps.

What is labor productivity analysis and how does it use financial statements?▼

Labor productivity analysis measures revenue generated per labor cost using financial statement data. It calculates one-unit revenue capital needs and fixed-asset intensity across multiple years to evaluate operational efficiency.

Can I calculate true per-capita revenue and profit if I only have financial statements?▼

Calculating true per-capita revenue and profit requires an optional employee-count bundle in addition to financial statements. Without this human-in-the-loop employee data, the analysis flags data gaps and computes revenue per labor cost instead.

What financial data sources do I need to compute working capital per revenue?▼

Computing working capital per revenue requires DuckDB-backed fin_balance, fin_income, fin_cashflow, and fin_indicator data sources. These sources provide the financial statements needed for single-stock analyses and cross-year comparisons.

Does this efficiency analysis support cross-year comparison for a single stock?▼

Yes, cross-year comparison is supported for single-stock analyses. The skill evaluates working-capital-per-revenue and fixed-asset intensity metrics across multiple years, with optional peer benchmarking and per-capita data when employee counts are provided.

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