How We Actually Analyze Financial Statements

Most analysts rely on basic ratios and standard templates. We built something different over fifteen years working with businesses across Southeast Asia.

Our approach evolved from real projects, not textbooks. It's tested in markets where financial reporting standards vary wildly.

Evolution of Our Framework

This didn't happen overnight. Each phase taught us something crucial about how financial data tells stories beyond the numbers.

2010
Starting Point
We began with traditional ratio analysis. Worked fine for stable companies, but failed completely when dealing with rapid growth or seasonal businesses. Too many false signals.
2014
Industry Context Layer
Added sector-specific benchmarks after a retail client's "concerning" inventory levels turned out to be perfectly normal for their category. Context matters more than we realized.
2018
Cash Flow Focus
Shifted primary attention to cash movements rather than accounting profits. This came from seeing profitable companies run out of cash and technically insolvent ones thrive. The balance sheet lies less often.
2022
Pattern Recognition
Developed systematic ways to spot early warning signs and growth opportunities by comparing trends across statement periods. Numbers tell stories when you know what sequences to look for.
2025
Current Approach
Now we combine quantitative analysis with operational reality checks. The best insights come from asking why numbers moved, not just that they did.

Core Analysis Components

These aren't sequential steps. They're lenses we apply simultaneously. Each reveals different aspects of financial health.

Liquidity Assessment

Can this business pay its bills next month? We look beyond current ratio.

  • Operating cycle timing and cash conversion
  • Working capital trends over twelve months
  • Debt maturity schedules versus cash position
  • Seasonal patterns and their cash impact

Profitability Structure

Where does money actually come from? Gross margins hide important details.

  • Revenue composition by product and customer
  • Cost behavior and operating leverage
  • Margin sustainability and pricing power
  • One-time items versus recurring earnings

Efficiency Metrics

How well do assets work? Turnover ratios need context to mean anything.

  • Asset utilization relative to industry norms
  • Inventory quality and obsolescence risk
  • Receivables aging and collection patterns
  • Fixed asset productivity and depreciation policies

Capital Structure

Is the financing sustainable? Debt isn't automatically bad.

  • Leverage ratios in context of cash generation
  • Interest coverage and debt servicing capacity
  • Capital allocation decisions and their returns
  • Off-balance sheet commitments and risks

Growth Quality

Revenue increase looks great until you check how it's funded.

  • Organic growth versus acquisition-driven expansion
  • Customer retention and recurring revenue base
  • Investment requirements to sustain growth
  • Market share trends and competitive position

Risk Identification

What could break this business model? We actively hunt for vulnerabilities.

  • Concentration risks in customers or suppliers
  • Regulatory exposure and compliance costs
  • Technology disruption potential
  • Management quality indicators in financials
Financial analysis workspace with multiple statement reviews

Real Analysis Example

A distribution company approached us in early 2024. Revenue grew 40% year-over-year. Management was optimistic. Their bank was getting nervous.

What We Found

Surface level looked good. Dig deeper and problems emerged quickly. Days sales outstanding jumped from 45 to 78 days. Inventory turnover dropped by 30%. Current ratio improved, but only because they stopped paying suppliers on time.

The revenue growth was real. They landed a major retail chain contract. But the payment terms were brutal and they lacked working capital to fund the gap. They were growing into insolvency.

The Approach

We mapped their cash conversion cycle in detail. Modeled different scenarios for the new contract. Showed them exactly when they'd run out of cash despite strong profits on paper.

Key Lesson

Financial statements show symptoms. You need to diagnose the underlying condition. In this case, a profitable contract that was financially unviable without restructuring payment terms or securing working capital financing.

They renegotiated terms with both the customer and their suppliers. Secured a receivables financing facility. Still growing, but now the numbers actually work.

Manufacturing Turnaround Project

Mid-sized manufacturer. Three consecutive years of declining margins. Management blamed raw material costs and competition. Board wanted answers.

Initial Assessment

Revenue was stable. Gross margin compressed by 8 percentage points. But when we calculated revenue per employee and output per machine hour, efficiency had collapsed.

They'd added production capacity two years earlier. Utilization rates looked okay on paper because they measured it wrong. Actual productive hours versus total hours told a different story.

What Changed

The financial analysis pointed to operational issues. We brought in production specialists. Found they were running three times as many small batch orders as before, killing their efficiency.

The company had drifted into custom work without adjusting pricing or production processes. Every small order generated revenue but destroyed margins through setup time and complexity.

Result

They restructured pricing for small orders and minimum batch sizes. Some customers left. Revenue dropped 12% initially. Operating margin improved by 15 percentage points within eight months. Sometimes you need to shrink to become healthy.

Manufacturing floor financial performance review

Analysis Team

Different backgrounds, but we all came to financial analysis through operational roles. That shapes how we read statements.

Siriporn Chaiwong financial analyst

Siriporn Chaiwong

Senior Financial Analyst

Started in credit risk at a regional bank. Spent five years deciding which companies to lend money to. You learn to spot problems when your job depends on predicting defaults. Now I apply that paranoia to helping businesses avoid the issues I used to identify.

Narisa Rattanaporn methodology specialist

Narisa Rattanaporn

Methodology Development Lead

Background in operations consulting before moving to financial analysis. That combination matters because statements reflect operational reality. I focus on connecting what numbers say to what's actually happening in the business. Most analysis fails at that translation step.

Learn This Approach

We're running a twelve-week program starting September 2025. It's project-based. You'll work through real company financials and learn to spot what matters. Limited to fifteen participants because it's intensive.