Empirical Study: Price Discovery on Pre-IPO Secondary Markets Using Forge, EquityZen, and Hiive Data

A private company can reach a valuation of tens or hundreds of billions of dollars before its shares ever trade on a public exchange. However, the valuation announced during a funding round does not always represent the price investors can actually achieve in a secondary transaction.

The real question for institutional investors is:

Does a private company’s headline valuation reflect the price buyers are actually willing to pay?

Pre-IPO secondary markets provide another layer of evidence by showing executed transactions, buyer demand, seller expectations, and liquidity constraints.

This study analyzes how Forge Global, EquityZen, and Hiive contribute to private-market price discovery by examining:

• transaction pricing signals
• bid-ask spreads
• valuation discounts against primary rounds
• pricing adjustment delays
• liquidity measurement challenges

Why Private Secondary Markets Require Different Price Discovery Models

Private-company shares do not trade through centralized exchanges. Instead, transactions occur through specialized marketplaces, broker networks, direct shareholder sales, and structured investment vehicles.

Because trading activity is limited, investors cannot rely on a single continuously updated market price. Instead, they combine multiple signals to estimate fair value.

These signals include:

• recent funding rounds
• completed secondary transactions
• buyer demand
• seller expectations
• company disclosures
• share ownership structures

Limited Trading Creates Pricing Delays

The frequency of transactions directly affects how quickly prices adjust.

When a public company releases new information, investors can immediately buy or sell shares. In private markets, the same information may take weeks or months to influence transaction prices because buyers need available shares and approved transfers.

This creates a pricing lag between company developments and observable secondary-market values.

For example, a private company may raise capital at a high valuation during favorable market conditions. If investor sentiment changes afterward, secondary buyers may demand a lower price. However, the adjustment may not appear immediately because private transactions happen less frequently.

Fragmented Liquidity Influences Execution

Private-market liquidity is distributed across different channels:

• secondary marketplaces
• private brokers
• employee liquidity programs
• direct investor transactions
• SPV-based investment structures

As a result, investors may see different pricing signals depending on where they search for shares.

This fragmentation creates execution challenges because the best available price on one platform may not represent the broader market.

Information Asymmetry Affects Pricing Accuracy

Private companies disclose less information compared with public companies.

Institutional investors typically analyze:

• financing history
• company updates
• market demand
• secondary transaction activity
• regulatory filings where available

However, buyers and sellers may not have equal access to information. Existing shareholders may understand liquidity events or internal developments that outside investors cannot fully observe.

This information gap contributes to wider pricing differences in private markets.

How Forge Global, EquityZen and Hiive Capture Private Market Pricing Signals

Different private-market platforms provide different views of pricing activity. Institutional investors usually combine multiple sources rather than rely on one marketplace.

1. Forge Global Private Market Data Model

Forge Global provides infrastructure for buying and selling private-company shares while collecting market activity data.

Its pricing signals include:

• completed secondary transactions
• private-company market activity
• historical pricing trends
• private-market index data

The Forge Private Market Index provides insight into valuation movements across selected private companies and helps investors understand broader private-market trends.

However, investors must separate two important concepts:

Indicative valuation represents an estimated market value based on available information.

Executed transaction price represents the actual price agreed between a buyer and seller.

For institutional investors, executed transactions generally provide stronger evidence because they reflect real market behavior.

1. EquityZen Marketplace Pricing Signals

EquityZen provides investors access to private-company investments, often through special purpose vehicles (SPVs).

Its pricing information comes from:

• shareholder offerings
• investor demand
• completed investment opportunities
• company approval processes

The platform has expanded access to private markets by allowing qualified investors to participate in companies that previously had limited availability.

However, investors must evaluate the structure behind each opportunity.

Important considerations include:

• SPV fees
• ownership rights
• investment minimums
• expected holding periods

EquityZen provides access to private companies, but investors still need additional market data to determine whether pricing reflects fair value.

1. Hiive Order Book Approach to Private Shares

Hiive focuses on marketplace-based private share trading by displaying buyer and seller activity.

Its pricing signals include:

• bid prices
• ask prices
• available shares
• investor demand

This approach provides greater visibility into current market interest.

Institutional investors use this information to evaluate:

• market depth
• buyer competition
• seller pressure
• execution difficulty

However, displayed interest does not always become completed transactions. Investors must distinguish between market indications and actual executed trades.

Comparing Private Secondary Market Pricing Signals

No single platform represents the complete private market.

Instead, institutional investors combine multiple sources to build a more reliable pricing assessment.

Measuring Bid-Ask Spreads in Pre-IPO Secondary Markets

Bid-ask spreads measure the difference between the highest price buyers are willing to pay and the lowest price sellers are willing to accept.

The formula is:

Bid-Ask Spread % = (Ask Price - Bid Price) / Midpoint Price × 100

Example:

Buyer bid: $95 per share

Seller asks: $110 per share

Midpoint: $102.50

Bid-ask spread: 14.6%

A wider spread usually indicates:

• lower liquidity
• fewer active buyers
• greater uncertainty
• higher transaction costs

Private-market spreads depend on several factors:

• company maturity
• investor demand
• shareholder urgency
• transaction size
• transfer restrictions

For institutional investors, spread analysis helps estimate the practical cost of entering or exiting a private position.

Secondary Market Pricing Versus Primary Funding Valuations

Primary funding rounds and secondary transactions measure different market events.

A primary round provides capital directly to the company. A secondary transaction provides liquidity to existing shareholders.

A secondary discount does not always indicate declining company value.

It may reflect:

• limited liquidity
• weaker share rights
• transfer restrictions
• changing investor expectations

Therefore, investors compare secondary pricing with primary valuations while adjusting for structural differences.

Measuring Pre-IPO Secondary Market Pricing Lag

Private-market prices usually adjust slower because transactions require additional steps.

Pricing delays can occur because of:

• shareholder approval requirements
• right of first refusal (ROFR)
• legal reviews
• limited transaction volume
• negotiation periods

Investors measure pricing lag by comparing:

• primary funding date
• secondary transaction date
• implied valuation difference

Example:

The difference may represent:

• liquidity discount
• delayed market adjustment
• uncertainty premium
• seller motivation

How Investors Separate Real Price Signals From Private Market Noise

Not every private-market price provides the same level of reliability.

Institutional investors evaluate the strength of each pricing signal before using it in valuation models.

A completed transaction generally provides stronger evidence than an unexecuted listing because it represents actual market participation.

Investors examine:

• whether the trade was completed
• whether the share class matches
• whether transaction size is meaningful
• whether multiple buyers support the price

This approach helps investors avoid relying on outdated valuation marks.

Private Market Pricing Examples From Leading Technology and AI Companies

Major private companies demonstrate how secondary transactions provide additional pricing signals between funding rounds and possible IPO events.

SpaceX Secondary Market Demand and Liquidity Premium

SpaceX shows how strong investor demand can influence private-market pricing before public-market access becomes available. As investors evaluated Starlink expansion, reusable launch technology, and space infrastructure opportunities, secondary-market interest remained strong.

In 2025 and 2026, reported private transactions reflected valuations reaching hundreds of billions of dollars, with demand for limited available shares creating a significant liquidity premium.

For institutional investors, SpaceX highlights that headline valuation alone does not determine tradable value. Analysts must evaluate:

• completed transaction prices
• share availability
• transfer restrictions
• differences between equity classes

The company demonstrates how limited private-share supply can create differences between reported valuation and executable market pricing.

Databricks Secondary Pricing and AI Infrastructure Demand

Databricks demonstrates how artificial intelligence infrastructure demand influences private-market valuation.

After reaching a reported $62 billion valuation during its 2024 funding round, the company continued attracting investor interest as businesses increased spending on AI and data infrastructure.

By 2025, reported private-market valuations moved above $100 billion, reflecting expectations around enterprise AI adoption.

For secondary investors, Databricks provides an example of valuation adjustment between financing events. Investors analyze whether pricing is supported by:

• revenue growth
• enterprise adoption
• AI infrastructure demand
• comparable public-company valuations

OpenAI Secondary Market Pricing Signals

OpenAI represents one of the strongest examples of AI-driven private-market valuation expansion.

Investor interest increased as markets evaluated ChatGPT adoption, enterprise AI demand, and future AI infrastructure requirements.

By 2026, reported private-market transactions placed OpenAI among the world’s highest-valued private technology companies, with valuations reaching several hundred billion dollars.

However, institutional investors analyze more than valuation headlines.

They evaluate:

• secondary share availability
• buyer competition
• liquidity constraints
• differences between financing valuations and executed transactions

OpenAI demonstrates how limited share availability can create a liquidity premium before a public listing.

Anthropic Secondary Transactions and AI Valuation Discovery

Anthropic shows how investors evaluate rapidly growing AI companies through private-market signals.

The company’s Claude AI models increased investor interest as enterprises adopted generative AI solutions.

In 2026, Anthropic’s valuation increased significantly following additional financing activity, reflecting expectations around AI infrastructure growth and enterprise demand.

Investors evaluating Anthropic analyze:

• AI adoption trends
• revenue potential
• infrastructure costs
• competitive positioning
• secondary liquidity conditions

Anthropic shows why private-market pricing requires balancing growth expectations with actual transaction evidence.

Institutional Framework For Evaluating Pre-IPO Secondary Opportunities

A disciplined process helps investors evaluate private-market opportunities.

Compare Primary And Secondary Prices

Start with the latest funding valuation and compare it with available secondary transaction data.

Calculate Valuation Discount

Investors estimate:

Secondary Discount = (Primary Valuation - Secondary Implied Valuation) / Primary Valuation

Adjust For Share Rights

Review:

• liquidation preferences
• voting rights
• anti-dilution protections
• transfer restrictions

Measure Liquidity Conditions

Analyze:

• transaction frequency
• buyer participation
• order-book depth
• execution time

Include Total Costs

Consider:

• platform fees
• SPV expenses
• legal costs
• holding period risk

Limitations of Private Secondary Market Data

Private-market data has improved, but several challenges remain.

Investors should consider:

• incomplete transaction coverage
• confidential negotiations
• different share classes
• limited company disclosures

Reported facts include:

• completed transactions
• published market indexes
• disclosed financing rounds

Calculated estimates include:

• implied valuations
• liquidity discounts
• comparable adjustments

Understanding these limitations prevents false precision.

How Investors Should Use Secondary Market Data

Pre-IPO secondary markets provide important pricing signals for investors evaluating private companies before an IPO.

Forge Global, EquityZen, and Hiive each reveal different aspects of private-market activity. Forge helps analyze transaction trends, EquityZen provides structured access opportunities, and Hiive offers visibility into buyer and seller interest.

However, the strongest investment decisions come from combining multiple signals.

Institutional investors should evaluate:

• executed transaction prices
• valuation differences
• liquidity conditions
• share structures
• market demand

Private-market price discovery is not about finding one perfect valuation. It is about understanding whether available pricing reflects real investor demand, transaction efficiency, and the economic value of owning private shares.

FAQs

How Does Price Discovery Work In Pre-IPO Secondary Markets?

Pre-IPO secondary price discovery occurs through negotiations between buyers and sellers, marketplace activity, completed transactions, company approvals, and available private-market information.

How Are Forge Global EquityZen And Hiive Different?

Forge focuses on private-market transaction intelligence, EquityZen provides structured access to private investments, and Hiive emphasizes buyer and seller marketplace activity.

Why Do Private Shares Trade Below Funding Valuations?

Private shares may trade below funding valuations because of liquidity limitations, transfer restrictions, different share rights, and changing investor demand.

How Do Investors Calculate Secondary Market Discounts?

Investors compare implied secondary-market valuations with recent primary funding valuations to estimate pricing discounts or premiums.

How Long Does Private Market Price Discovery Take?

Private-market pricing adjustments may take weeks or months because transactions depend on available shares, approvals, negotiation, and investor participation.