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Glowlyconnect

Master Valuation Through Real Analysis

Financial markets don't care about textbook theories. They respond to numbers, context, and informed judgment. Our program focuses on building practical valuation skills through actual company data and real market scenarios that happened over the past two years.

You'll work with discounted cash flows, comparable company analysis, and precedent transactions. But more importantly—you'll understand when each method makes sense and when it doesn't.

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Financial analyst reviewing valuation models and market data

How We Built This Program

Started with a simple observation in 2019: most valuation training taught methods without teaching judgment. We set out to fix that.

2019

Foundation Year

Launched initial curriculum with 18 participants from banking and corporate finance roles. Focus was straightforward: DCF models that actually worked in practice. Learned quickly that participants struggled most with assumption-setting, not Excel formulas.

2021

Case Library Development

Added 40+ real valuation cases from Southeast Asian markets. Each case included what went right, what went wrong, and why certain assumptions fell apart. Started incorporating market disruptions from the 2020 period to show how valuations adapt during uncertainty.

2023

Methodology Expansion

Participants kept asking about situations where DCF alone wasn't enough. So we added modules on relative valuation, real options thinking, and sum-of-the-parts analysis. The goal wasn't just teaching more methods—it was knowing which tool fits which problem.

2025

Current Program Structure

Today's curriculum balances technique with business reality. We run cohorts starting September 2025 and February 2026. Each session includes live market analysis, peer review sessions, and practical model-building. Participants leave with a portfolio of work they can reference later.

Who Teaches This

Henrik Sorensen - Lead valuation instructor

Henrik Sorensen

Spent 12 years in equity research covering industrials. Teaches DCF modeling and comparable company analysis with focus on manufacturing sectors.

Petra Novak - Financial modeling expert

Petra Novak

Background in investment banking M&A. Leads sessions on precedent transactions and handles the trickier aspects of deal comparability.

Marcus Chen - Corporate finance specialist

Marcus Chen

Corporate development role at a regional conglomerate. Brings real-world perspective on how valuations get used in actual business decisions.

Sofia Ramirez - Market analysis instructor

Sofia Ramirez

Previously with private equity firm focused on growth investments. Covers scenario analysis and helps participants think through market assumptions.

What You'll Actually Work On

Every session involves analyzing real companies and walking through actual valuation challenges. Here's what that looks like in practice.

01

Thai Beverage Expansion Analysis

Context

Regional beverage company considering entry into new markets. Needed to value both existing operations and potential expansion opportunities.

Approach Used

Built separate DCF models for core business and new markets. Used comparable public companies to cross-check multiples. Main challenge was estimating market penetration rates without reliable historical data.

Key learning: Sometimes you need multiple valuation scenarios not because you're unsure, but because the business genuinely has different possible futures. Management decisions matter more than your discount rate precision.

02

Technology Platform Valuation

Context

E-commerce platform with strong user growth but inconsistent profitability. Traditional DCF struggled because free cash flow was negative during high-growth phase.

Approach Used

Combined revenue multiple analysis with long-term DCF projection. Looked at comparable platforms that had already reached profitability. Weighted both approaches based on company's maturity stage.

Key learning: Growth companies often need hybrid approaches. The trick isn't picking one perfect method—it's understanding what each method tells you and why the answers differ.