Financial Analysis That Actually Makes Sense

Stop guessing. Start understanding the numbers that drive real business decisions.

We've spent years working with professionals who thought they knew finance. Then they realized they were missing the subtle patterns that separate decent analysis from work that actually changes outcomes. Our September 2025 intake focuses on techniques most courses skip over—the ones that matter when you're staring at a balance sheet at midnight trying to figure out what's really going on.

View Program Details
Advanced financial analysis workspace showing detailed spreadsheet modeling

What You'll Actually Learn

Cash Flow Forensics

Most people look at cash flow statements and see numbers. You'll learn to spot the warning signs three months before things go sideways. We cover the patterns that indicate trouble—the kind accountants whisper about but rarely teach.

Ratio Analysis Beyond the Basics

Current ratio, debt-to-equity, return on assets—sure, everyone knows those. But what about the combinations that reveal competitive positioning? Or the industry-specific metrics that actually predict performance? That's where things get interesting.

Scenario Modeling That Works

Building models is easy. Building models that hold up under scrutiny and actually help with decisions? That's different. You'll learn stress-testing approaches and sensitivity analysis methods used by analysts who've been doing this for twenty years.

Real-World Application Focus

Here's what we've noticed over the years: people can memorize formulas all day. But when they're handed an actual company's financials and asked "should we invest?"—that's when theory meets reality.

Our approach uses case studies from real businesses (anonymized, obviously). You'll work through scenarios where the right answer isn't obvious. Where the data contradicts itself. Where you have to make judgment calls with incomplete information.

  • Analyze quarterly reports from ASX-listed companies
  • Evaluate acquisition targets using multi-factor frameworks
  • Build defensible investment theses under time pressure
  • Present findings to simulated stakeholder groups
Detailed financial statement analysis with highlighted key metrics

Industry-Specific Techniques

Analyzing a tech startup? Different game than analyzing a mining company. Retail has its own quirks. Manufacturing, another set of considerations entirely.

We don't just teach universal principles (though those matter too). You'll learn the specific metrics and red flags for different sectors. The things that separate someone who's read a textbook from someone who knows what they're looking at.

  • Technology sector burn rate and unit economics
  • Resource company reserve valuations and sustainability metrics
  • Retail inventory turnover and margin compression indicators
  • Service business utilization rates and scaling challenges
Comparative industry financial performance charts and trend analysis

This Isn't for Everyone

If you're looking for quick wins or simple formulas, this probably isn't your program. We're focused on people who want to understand financial analysis deeply enough to trust their own judgment—even when it contradicts conventional wisdom.

Time Commitment

Expect 12-15 hours weekly for twelve weeks starting September 2025. This includes live sessions, case work, and independent study. It's substantial but manageable if you're serious.

Prerequisites

You should understand basic accounting principles and be comfortable with spreadsheets. If you can build a three-statement model, you're ready. If not, take an intro course first.

Application

We cap enrollment at 30 participants to maintain quality discussions. Applications open June 2025. We prioritize people with relevant work experience who can contribute diverse perspectives.

Learn from Practitioners

Henrik Lindqvist, Lead Financial Analysis Instructor

Henrik Lindqvist

Lead Instructor

Sixteen years analyzing deals for private equity firms taught Henrik which metrics actually predict success. He's evaluated over 200 potential investments and seen both spectacular wins and expensive mistakes. Now he teaches the pattern recognition skills that took him a decade to develop.

Siobhan O'Malley, Financial Modeling Specialist

Siobhan O'Malley

Financial Modeling Specialist

Siobhan spent eight years building valuation models for M&A advisory teams. She's particularly good at explaining why certain modeling approaches fail under stress and how to build frameworks that hold up when assumptions change. Her case studies come from actual transactions she worked on.

How the Program Works

Twelve weeks, structured around progressively complex case studies. Each week builds on previous concepts while introducing new analytical frameworks. By week eight, you'll be working on capstone projects using real company data.

1

Foundation Weeks (1-3)

Financial statement analysis fundamentals, ratio interpretation, and cash flow mechanics. We move quickly through basics to reach the interesting material. Live sessions twice weekly with recorded lectures for reference.

2

Applied Analysis (4-7)

Industry-specific techniques, competitive analysis frameworks, and scenario planning. You'll work in small groups analyzing different companies within the same sector, then compare findings. This is where theory becomes practical skill.

3

Advanced Methods (8-10)

Valuation approaches, due diligence procedures, and red flag identification. Guest practitioners join sessions to critique your work and share what they've learned from experience. Expect honest feedback.

4

Capstone Project (11-12)

Comprehensive analysis of a publicly-traded company of your choice. Build a full investment thesis, present to the group, and defend your conclusions under questioning. This simulates real-world presentation scenarios.

Next Intake: September 2025

Applications open June 1st. We'll review submissions on a rolling basis and notify accepted participants by July 15th. Early applications get priority consideration. If you have questions about fit or prerequisites, reach out before applying.