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FinToolSuite
Updated April 20, 2026 · Startup & VC · Educational use only ·

Equity Crowdfunding Return Calculator

Crowdfund portfolio returns.

Calculate equity crowdfunding portfolio returns using a power-law distribution with a chosen failure rate across the portfolio.

What this tool does

This tool models how an equity crowdfunding portfolio might perform across multiple deals over time. It calculates portfolio value by estimating which deals succeed, applying an average return multiple to winners, and projecting growth across your hold period. The result shows estimated total portfolio value and annualized return rate based on your assumptions. Portfolio size, number of deals, failure expectations, and winner multiples are the primary drivers of outcomes. A typical scenario might involve spreading investment across ten early-stage companies with an expected failure rate and average successful exit multiple. The calculator assumes uniform deal sizing, identical hold periods across all investments, and that winner multiples are consistent—it does not account for deal-by-deal variation, secondary sales, or fees. Results are illustrative approximations for educational purposes and depend entirely on input accuracy.


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Formula Used
Winners count
Avg winner multiple
Total deals

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Disclaimer

Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.

Equity crowdfunding return calculator models portfolio outcomes from startup investing platforms (Seedrs, Crowdcube, Republic, AngelList). Power-law distribution: 60-80% complete losses, 5-10% modest returns, 5-10% deliver 5-50x outcomes that drive portfolio returns. 20k spread across 20 deals at average winner 8x with 70% failure rate: 6 winners × 1k × 8 = 48k portfolio value, 2.4x MOIC.

Example: 20,000 spread across 20 deals (1,000 each). 70% failure rate (14 deals to zero). 6 winners at average 8x = 48,000 portfolio value. 28,000 net gain. Over 7 years = 13.3% IRR. Diversification matters mathematically: a single 20,000 deal at 70% failure probability has negative expected value before any portfolio effect. Spreading the same capital across multiple deals reduces the variance, which is the structural advantage retail crowdfunders have.

Equity crowdfunding tax benefits: SEIS (Seed Enterprise Investment Scheme) - 50% income tax relief on 200k/year max, capital gains exempt if held 3+ years, loss relief offsets failures. EIS - 30% income tax relief up to 1M/year. Combined: even portfolio with 50% failure rate can be net positive after tax relief. Without SEIS/EIS: equity crowdfunding rarely beats S&P 500 risk-adjusted. Investing via tax-advantaged structures where available.

A worked example

Try the defaults: total portfolio investment of 20,000, number of deals of 20, expected failure rate of 70%, average winner multiple of 8. The tool returns 13.32%. You can adjust any input and the result updates as you type — no submit button, no reload. That's the real power here: seeing how sensitive the output is to one or two assumptions.

What moves the number most

The result responds to Total Portfolio Investment, Number of Deals, Expected Failure Rate %, Average Winner Multiple, and Hold Period (years). Not every input has equal weight. Adjusting one input at a time toward extreme values shows which ones move the result most.

The formula behind this

Winners count × per-deal investment × average winner multiple = portfolio value. Everything the calculator does is shown in the formula box below, so you can check the math against your own spreadsheet if you want.

Where this fits in planning

This is a "what-if" tool, not a forecast. Use it to test ideas before committing: what happens if the rate is 2% lower than hoped, what happens if you add five more years. The value is in the scenarios you run, not the single answer you get from the defaults.

What this doesn't capture

Steady-rate math ignores real-world volatility. Actual returns are lumpy; sequence-of-returns risk matters most in drawdown; fees and taxes drag on compound growth; and behaviour changes in drawdowns can reduce outcomes below the projection. The number represents one scenario rather than a forecast.

Example Scenario

££20,000 across 20 deals at 70% fail, 8x winners over 7y = 13.32%.

Inputs

Total Portfolio Investment:£20,000
Number of Deals:20
Expected Failure Rate %:70
Average Winner Multiple:8
Hold Period (years):7
Expected Result13.32%

This example uses typical values for illustration. Adjust the inputs above to match a specific situation and see how the result changes.

Sources & Methodology

Methodology

Winners count × per-deal investment × average winner multiple = portfolio value.

Frequently Asked Questions

Realistic crowdfunding returns?
Without SEIS/EIS: typically negative after fees and failures. With SEIS/EIS tax relief: can be net positive even with 70% failure rate. Median crowdfunder: loses money. Top quartile: 10-20% IRR. Bottom: complete losses. Diversification across 20+ deals is essential - single-deal investing = guaranteed loss expected value.
SEIS/EIS tax benefits?
SEIS: 50% income tax relief on investments up to 200k/year. EIS: 30% relief up to 1M/year. Capital gains tax exemption if held 3+ years. Loss relief: failed investments offset against income tax. Combined effect: SEIS investor can lose 50% of capital and still break even after relief. Materially different for early-stage portfolios.
Diversification minimum?
Statistical analysis: need 20+ investments for meaningful chance of catching a winner. 10 investments at 70% failure rate has 14% chance of zero winners. 30 investments has 0.4% chance. Spread 20k across 20-30 deals (600-1,000 each) rather than concentrating 20k in 2-5 deals. Power-law distribution requires breadth.
Best platforms?
Seedrs (acquired by Republic): largest platform, secondary market for liquidity. Crowdcube: similar size, slightly different deal mix. SyndicateRoom: more institutional. Republic: broader deal flow. Carefully review fees, secondary market liquidity, due diligence quality. Screening individual listings carefully - platforms list many low-quality deals.

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