Startup Valuation: How to Determine the Value of a Young Business

A practical, founder-friendly guide to valuing early-stage ventures — from idea to scalable startup.

Siert Bruins Siert Bruins is the author of this webpage
startup valuation

Whether you're working on an invention, preparing to raise capital, or simply curious what your idea might be worth, one question eventually becomes unavoidable: “How do I determine the value of my startup?” It sounds simple — but for early-stage ventures, valuation is rarely straightforward. Young companies often have limited revenue, uncertain cash flows, and risks that change from month to month.

Yet valuation is essential. Founders need it when pitching investors, negotiating equity, or choosing the right commercialisation strategy. Investors rely on it to compare opportunities and assess risk. And inventors need it to understand whether building a business, licensing, or selling the idea makes the most sense.

This page introduces the key valuation concepts used for early-stage startups, and explains how investors think about growth, uncertainty, and potential returns. Throughout this guide, we use a fictional invention — the iCic — to demonstrate how different assumptions, methods, and risk profiles can dramatically shift the perceived value of a business. If you want to understand startup valuation from both the founder and investor perspective, this is the best place to begin.

How Startup Valuation Relates to My Three Strategies

On this website, I outline three distinct strategies to profit from an invention: selling just an idea, building a company to sell, and starting, growing, and scaling a real business. Each of these paths comes with its own level of maturity — and therefore with its own way of looking at valuation.

When you sell just an idea, there's often no product, no market entry, and no revenue yet. In this case, I look at how investors will assess the uniqueness and strength of your intellectual property, alongside the potential market opportunity. The challenge is that the value must almost entirely be justified by what could happen in the future.

By contrast, the build to sell strategy can take two forms: one where you sell the company before any market introduction, and one where you already have a prototype or early product generating traction. These situations create very different valuation dynamics. Without a market launch, value relies on IP, concept validation, and development potential. But once your invention reaches the market — even in a limited way — real-world data such as customer feedback or early sales can significantly reduce investor risk and increase perceived value. I will explore this difference further on a dedicated page about valuation and market introduction.

How Risk Shapes Startup Valuation

Ultimately, I've found that the value of any idea, invention, or young business hinges on a single, crucial factor: risk. Investors are not just buying potential — they are pricing uncertainty. An early-stage idea or startup carries far more risk than a company with proven revenue, customers, and operations. Naturally, a mature business is perceived as less uncertain, and that confidence is reflected in a higher valuation.

When it comes to a startup built around a new invention, several layers of risk come into play. There's the technical risk — will the invention actually work as intended? In fields like pharmaceuticals, unexpected side effects can derail even the most promising innovation. Then there's market risk — will customers embrace the product, and at what price point? Finally, regulatory and legal risks can emerge, from safety regulations to intellectual property disputes, potentially delaying or even blocking market entry. A familiar example is the debate around whether AI systems like ChatGPT may have infringed copyrighted material — a reminder that innovation often navigates legally uncharted territory.

As a company matures and demonstrates product performance, market acceptance, and operational stability, perceived risk naturally decreases — and its value rises in tandem. Understanding this relationship between risk and value is essential for any inventor or founder. It should inform strategic decisions at every stage, from concept through commercialization. In the next section, I'll explore how these risks are translated into financial value using widely recognized valuation methods, illustrated through practical examples such as the iCic case.

For founders who choose to start, grow, and scale a real business, the valuation possibilities become far richer. Investors can draw on established financial models — revenue, margins, cash flow, and growth dynamics — which make the valuation more transparent and easier to justify. This path often requires more effort, time, and funding, but it usually offers the strongest and most defensible way to determine value.

On this page, I focus primarily on valuing early-stage businesses within the “Start, Grow, and Scale” framework, because it's the model investors most often use to assess worth. By understanding these valuation methods — and their limitations when applied to young startups — you'll gain a solid foundation for realistic, credible valuation thinking. Later, I'll also show how to value ideas, pre-revenue ventures, and build-to-sell startups. Throughout these sections, I use the fictional iCic invention as an ongoing example to demonstrate how different assumptions and risk levels can dramatically change perceived value.

Methods to Determine the Value of a Business

Before we dive in: there are many established valuation methods, but not all of them are equally useful for early-stage innovation. We introduce each approach briefly so you understand the landscape, but in this series we rely mainly on the Discounted Cash Flow (DCF) method.

Why DCF? Because it allows us to simulate different future scenarios — essential for our fictional invention, the iCic, where market success can vary widely. Other methods explain how investors think, but DCF gives us the clearest way to compare outcomes and show how value changes over time.

It's important to note that founders and inventors are not expected to master every technique listed below. Many of these models take years of training to apply properly. Our goal here is not to turn you into a corporate finance expert, but to give you enough understanding to approach investors with confidence — knowing the basic logic behind how they assess value.

If you want a more narrative explanation of why early-stage financing always starts with personal investment and risk, you can read my Amsterdam example — a historical story that illustrates the principle behind every startup valuation: “De Cost Gaet Voor de Baet Uyt.”

0. Quick Financial Estimate Methods

These are simple, back-of-the-envelope checks based on current financial statements. They offer a quick first impression before deeper analysis, but should never be used as a final valuation.

I. Cost-Based Valuation

This group looks at what has already been invested or what it would cost to recreate what you've built. Two common forms are:

  • Pre-money / Post-money valuation: Based on invested capital before and after new funding. Useful for negotiations when traction is limited.
  • Cost-to-Duplicate: Estimates what it would cost to reproduce your invention, product, or company from scratch. Simple — but ignores market potential entirely.

II. Valuation Based on Future Potential

Here we estimate what the company could be worth several years from now. This category includes multiple sub-methods, ranging from simple to sophisticated.

1. Market Comparables (Comparable Method)

Compares your startup to similar companies that were recently valued, funded, or sold. Useful when strong market data exists — less reliable for unique inventions or early-stage technologies.

2. Economic Valuation Methods

  • Income Method: Based purely on projected future income or cash flows.
  • Time Adjustment: Discounted Cash Flow (DCF) models that correct for the time value of money.
  • Risk Adjustment: Advanced DCF models incorporating uncertainty, risk variations, and scenario analysis.

The DCF family sits at the center of economic valuation methods — and this is the approach we will use extensively for the iCic.

3. Flexibility-Based Valuation

  • Decision Tree Analysis (DCF-based)
  • Monte Carlo Simulation
  • Real Options Analysis

These methods evaluate strategic flexibility — the ability to pivot, delay, expand, or abandon projects as new information emerges.

4. Changing-Risk Valuation Models (Option Pricing Theory)

  • Discrete models (e.g., Binomial)
  • Continuous models (e.g., Black-Scholes)

These treat startup decisions like financial options. Powerful in theory, but rarely used by smaller investors due to complexity and data requirements.

Why We Don't Use “Capital + Goodwill” or P/E Ratios

These methods rely on long-term financial history. Because startups have limited or no track record, these traditional models simply don't apply.

Why This Series Focuses on the DCF Method

You've now seen that there are multiple ways to approach valuation — from cost-based methods and comparables to income methods, risk-adjusted models, and even highly advanced real-options frameworks. In practice, mastering all these methods would take an entire career in finance. And investors themselves often specialize in only one or two of them.

That is exactly why this series does not try to turn you into a valuation expert. Instead, the goal is to give you enough structure, confidence, and intuition to have an informed conversation with investors — and to understand why different numbers arise under different assumptions.

To keep things practical and transparent, we focus primarily on one method throughout the rest of this series:

The Discounted Cash Flow (DCF) model.

Why this one?
Because the DCF method allows us to explore multiple future scenarios for your invention — optimistic, conservative, and everything in between. For our fictional invention, the iCic, this flexibility is essential. We can vary adoption rates, pricing, costs, risk, and timing, and see immediately how each scenario affects value.

DCF is not the only model investors use, but it is the most instructive, the most widely understood, and the best tool to show you how value actually emerges over time.

With that foundation, let's now dive into the DCF approach — step by step — and use the iCic as our running example to see how valuation really works in practice.

All Valuation Topics and Supporting Pages

To make this series practical, each topic links to a deeper explanation. Below you'll find all supporting pages — each with a short note on what you can expect.

Quick Valuation Methods — five simple financial shortcuts that give an initial sense of value (useful, but never definitive).

The Cost Method — how to value a business based on what has been invested so far, often used in early negotiations.

The Discount Rate & Future Value of Money — why future income is worth less than income today, and how this affects valuation.

CAPM: Understanding Risk — introduces the risk-return relationship investors use when evaluating early-stage companies.

The DCF Method — the core valuation model used in this series, allowing scenario-based valuation of the iCic.

Return on Investment (ROI) — key definitions that help interpret whether a projected investment makes sense.

Net Present Value (NPV) — how future cash flows are translated into one clear number to support investment decisions.

Understanding Cash Flow — explains what cash flow really is and how it drives both valuation and investment interest.

Comparables Analysis — how to value your startup by comparing it to similar companies in the market.

Equity, Goodwill & Startup Valuation — how equity splits work, how goodwill is created, and why ownership structure affects valuation.

Monte Carlo Simulation — is one of the abovementioned Flexibility-Based Valuation methods, an advanced technique that shows how uncertain variables can create a full distribution of possible valuations.

Company Valuation: The Example of the iCic

At this point, we introduce the example invention we will use throughout the valuation pages. Imagine you are developing the iCic — the I Cinema in Car. The name may change later, but the idea is clear: a system that projects moving images onto the inside of a car's windshield while correcting for curvature and keeping the projection transparent. This allows the driver to keep full visibility of the road while still seeing high-quality (HD) content, from movies to real-time financial news, all supported by immersive audio.

You have progressed far enough to build a first working prototype in your garage. It is not perfect yet, but it demonstrates the core concept. In the next steps of this valuation series, we will test the iCic against the three pillars of a successful invention and introduce the valuation techniques used for startups whose primary asset is an invention.

For many inventors, determining the value of the company is one of the first major hurdles. Often, an invention works partially (or not yet at all), and substantial development is still required. But to continue building, you need capital. And to attract capital, you need at least a first idea of what your invention — and therefore your company — might be worth.

Methods for the Valuation of a Company

Before we begin, we define what exactly will be valued. Do we value the iCic as a product? Only the patents? Or both? To keep things simple at this early stage, we treat the patents and the invention as one combined asset. We also assume there are no licensees or producers yet — you are still in the initial commercialization phase.

In the upcoming pages, we walk through the various valuation methods introduced above. We begin with the most accessible approach: the quick valuation methods based on a company's financial statements.

About Siert Bruins

Siert Bruins, PhD

Hello! I'm Siert Bruins, a Dutch entrepreneur and founder of Life2Ledger B.V. . Trained as a Medical Biologist, I hold a PhD in Clinical Diagnostics from the University of Groningen and have over two decades of hands-on experience in innovation at the intersection of universities, hospitals and technology-driven companies.

Throughout my career, I have (co)-founded several life science startups and helped researchers, inventors, and early-stage founders transform their ideas into prototypes, patents, partnerships, and funded projects. My work spans medical device development, clinical validation, startup strategy, and technology transfer. I've guided innovations from the initial sketch to licensing agreements and investment negotiations.

Since 2009, I've run the Dutch version of this site. I launched to provide founders worldwide with practical, experience-based guidance on inventions, patents, valuation and raising startup capital. Today, in Life2Ledger, I also focus on blockchain-based data validation for AI in healthcare — Specifically: how can you be sure that your AI is trained and validated on the correct data, and that this data truly comes from the patient and the device you think it does?

I write everything on this website myself, based on real cases, real negotiations and real outcomes. No content farms. No generic AI text. Just practical guidance from someone who has been in the room.

Want to connect? Visit my LinkedIn or follow me on X. Have questions about your startup strategy or patents? Reach out and I'll share practical insights from real-world experience.