Executive Summary
What separates the best private equity deals from the rest? Which sectors consistently outperform, and why? How has value creation changed over the years?
These are just some of the questions that led us to analyze data from over 10,000 private equity investments globally for our latest “Private Equity Value Creation” report. Here's a summary of our key findings:
Revenue growth is the largest driver of PE value creation, contributing on average 54% of value creation. Multiple expansion contributes significantly at 32%, while margin expansion plays a smaller role at 14%. Given the recent downward pressure on multiples, revenue growth has become an even more critical driver of success.
Buy-and-build is central to PE value creation. Companies with a more active buy-and-build strategy deliver higher returns across all performance quartiles. When done right, buy-and-build bolsters all three value creation drivers: revenue growth, margin expansion, and multiple expansion.
Companies with higher revenue growth rates generate significantly higher investment returns. Growth amplifies other value drivers as well, particularly exit multiples. Fast-growing companies typically command 30-50% higher multiples at exit.
Margin expansion is most impactful when PE firms target operationally challenged businesses rather than already-efficient businesses. 78% of deals with negative entry EBITDA margins achieved margin expansion.
Multiple expansion is more common for smaller deals under $100M EV. This reflects both lower initial valuations and uplift as companies achieve scale. By sector, TMT, Science & Health, and Services see the largest multiple expansion.
There are many more insights for you to explore — we’ve only scratched the surface here! Email any questions about the report or the data to insights@gain.pro.
Chapter 01: Value Creation Drivers
Revenue growth is the largest driver of PE value creation. On average, it accounts for 54% of value creation for PE deals. Multiple expansion contributes significantly at 32%, while margin expansion plays a smaller role at 14%.
Multiple expansion's contribution to value creation has declined in recent years. It contributed to ~40-45% of returns in 2019-21, driven by higher exit multiples and attractive entry valuations. However, as exit multiples have come down, revenue growth has clearly become the primary driver of value creation (~65-70%). We expect revenue growth to remain the key driver going forward as multiples remain under pressure in this higher-for-longer interest rate environment.
Top quartile deals have a higher share of value creation through multiple expansion. On average, they realize 40% of their value through multiple expansion compared to just 25% for bottom quartile deals. While growth is paramount, this shows that entry valuations matter too.
By sector, Science & Health, TMT, and Services rely more on multiple expansion. Valuations in these high-growth, high-margin sectors have risen in the last few years as more capital flowed in, driving multiple expansion. In contrast, Industrials, Consumer, and the Energy & Materials sectors have seen moderate levels of multiple expansion, with more value created through revenue growth and margin expansion. Despite these differences, revenue growth remains the largest component of value creation across all sectors.
Compared to other deal types, margin expansion drives a higher share of value creation in public-to-private deals. These deals involve mature, scaled companies that offer the greatest potential for cost optimization and operational improvements. Similarly, carve-outs show higher margin expansion versus other deal types as they typically involve non-core and underinvested units. In comparison, sponsor-to-sponsor and family-to-sponsor deals rely more on revenue growth, with family businesses also offering some potential for margin expansion.
Larger deals see more margin expansion compared to smaller deals. Scale provides greater opportunities for cost optimizations and operational improvements. In contrast, smaller deals tend to create more value through revenue growth and multiple expansion.
Revenue growth accounts for a larger share of value creation for longer held assets. Shorter exits, in contrast, are more heavily influenced by valuations and market timing. Often, these shorter exits stem from strategic buyers or other financial sponsors who missed the initial acquisition opportunity and subsequently make premium offers to acquire these assets.
Chapter 02: Returns and Loss Rates
Smaller businesses on average deliver higher MOIC compared to larger ones. They benefit from higher growth rates and lower entry multiples compared to large, mature enterprises. On the other hand, larger deals do offer more predictable returns with less variance compared to smaller deals.
By sector, MOIC is highest in TMT (median of 3.1x), followed by Science & Health (2.7x), and Services (2.6x). These three sectors are among the fastest-growing, with strong investor appetite. On the other hand, Energy & Materials and Industrials show more modest returns. These capital-intensive sectors also tend to have longer holding periods (~1 year longer on average).
By deal type, MOIC is highest in family-to-sponsor deals (2.9x). These businesses are typically in their earlier stages of growth and on average have lower entry valuations. Sponsor-to-sponsor deals, on the other hand, offer slightly lower returns (2.7x) but more predictable outcomes, while carve-outs deliver the lowest returns (2.3x) of all deal types.
Companies held longer are usually the best performers or the worst. Investors hold onto the best-performing assets for greater upside but also hold the worst, trying to fix the business or hoping for a market turnaround, though exits often become difficult for these struggling investments.
The longer you hold an investment, the lower the IRR despite higher absolute returns. For example, doubling your money in 2 years delivers a 41% IRR, while tripling it in 8 years yields only 15% IRR. This creates a fundamental tradeoff between a higher MOIC and a higher IRR, and whether you let your winners run.
Companies with negative revenue growth had the highest loss rate at ~25%, while companies with higher growth rates (>10% CAGR) had much lower loss rates at ~2%. This makes intuitive sense since declining revenue makes companies less attractive to potential buyers, resulting in more challenging exits, multiple contraction, and longer holding periods.
By sector, loss rates are highest in Industrials (9%), Consumer (8%), and Services (7%). TMT has the lowest loss rates at 5%. By subsector, Retail (Consumer) shows the highest loss rates at 12%, impacted by the structural shift to e-commerce, COVID, high fixed costs, and intense competitive pressures.
By deal type, loss rates are highest in carve-outs (11%) and public-to-private (9%) deals. These higher loss rates reflect slower growth, concentration in cyclical sectors such as Industrials and Energy & Materials, and operational complexities. In contrast, family-to-sponsor (6%) and sponsor-to-sponsor (5%) have lower loss rates in part due to higher growth rates within these deal types.
Longer holding periods don't necessarily mean better returns. In fact, we see a barbell effect in assets held the longest. They include the biggest winners and the biggest losers, while those held in the 3-6 year range tend to cluster around more predictable, moderate returns
Chapter 03: Revenue Growth
Companies with higher revenue growth rates generate significantly better investment returns compared to slower growing ones. The median MOIC for companies growing >30% CAGR is 4.0x. It nearly halves to 2.3x for companies growing in the 0-10% range, with significant downside risk for those with negative growth.
Higher growth also drives value creation through an increase in multiple. Fast-growing companies typically command 30-50% higher multiples at exit, driving an uplift in valuation. This is true across assets of all sizes and sectors.
Not just that, companies with positive revenue growth are more likely to achieve margin expansion too. 58% of growing companies experience margin expansion (median of +130bps) versus only 44% of companies with negative growth. This makes intuitive sense — growing companies benefit from operating leverage as revenues scale faster than costs.
By sector, TMT, Science & Health, and Services have the highest growth rates, while traditional sectors with larger, asset-heavy operations such as Industrials, Energy & Materials, and Consumer showcase slower growth. At the subsector level, Software, Professional Services, and Healthcare Services lead, in contrast to slower-growing Consumer Goods, Food, Retail, and Manufacturing.
By size, revenue growth is slowest for large-cap deals. Median CAGR drops from 10% for sub-$1bn entries to 6.9% for deals >$1bn. Since revenue growth is the largest value driver, slower growth directly limits the return potential for these deals.
By deal type, revenue growth is strongest in family-to-sponsor deals. Family-owned businesses often have untapped growth potential (M&A, geographic expansion, new markets) and hence tend to scale faster. Public-to-private deals, on the other hand, are often the largest and grow more slowly. Carve-outs also lag, often reflecting mature business units in Industrials and Energy & Materials.
Chapter 04: Margin Expansion
Private equity firms target best-in-class family-owned businesses. PE firms today are mainly geared towards acquiring successful businesses and scaling them rather than acquiring underperforming businesses and turning them around. This is the reason why we don't see a higher contribution of margin expansion broadly. There isn't much room to operationally improve a top-quartile business.
Margin expansion is most impactful when PE firms target operationally challenged businesses rather than already-efficient businesses. 78% of deals with negative EBITDA margins achieved margin expansion (median +1250bps), while businesses with high EBITDA margins (>30%) typically saw margin contraction.
It's only when companies improve their EBITDA margins significantly (300+ basis points) that we see meaningfully higher returns. Returns are largely unchanged when margins decline or improve only slightly.
Divestitures boost margins. PE-owned businesses that divest underperforming units have a higher median margin expansion of +240bps vs. +70bps for those without. Multiple expansion is higher too (+3.3x vs. +2.5x). This divestiture activity is more common among larger businesses, with 23% of PE-owned businesses over $1bn revenue undertaking divestitures.
Large businesses ($1bn+ EV) deliver more margin expansion. They have more opportunities to spread fixed costs across a larger revenue base, and any operational improvements carried out at scale have a larger impact. In contrast, smaller companies (<$100M EV) show no margin improvement, as growth remains their top focus.
By sector, margin expansion is the highest in Energy & Materials, Industrials, TMT, and Science & Health. Energy & Materials and Industrials particularly benefit from their larger scale and asset-heavy nature, which creates more opportunities for operational optimizations. At the subsector level, the margin expansion is the highest in Leisure (+460bps), Biotech (+380bps), Chemicals (+310bps), and Education (+280bps), reflecting more opportunities for cost optimizations.
Margin expansion is strongest in public-to-private deals. These deals are typically large with inefficiencies that private equity can address without public market scrutiny and the pressure of quarterly earnings. As these transformations can often take time to fully materialize, public-to-private deals are held about a year longer on average compared to other deal types.
Contrary to common belief, most businesses grow their headcount during PE ownership. Only in large public-to-private deals do we see a significant portion (33%) of businesses reduce employee count. These companies often undergo a one-time operational reset, streamlining processes and reducing administrative layers.
Chapter 05: Multiple Expansion
MOIC is highest for businesses with lower entry multiples. As entry multiples increase, the MOIC decreases and becomes more consistent. Finding attractively priced deals is not easy, as they typically occur only in the smallest transactions or during market dislocations (e.g., 2009). As multiples have expanded, such opportunities have become increasingly rare.
Multiple expansion is more common at lower entry multiples than at higher ones. 99% of all deals bought in the 0-6x EV/EBITDA range experienced positive multiple expansion, compared to only 54% of those purchased above 15x EV/EBITDA. The magnitude of expansion is also higher at lower entry multiples.
Multiple expansion varies by sector, with TMT, Science & Health, and Services seeing the largest expansion due to strong sponsor demand and higher growth rates. Traditional sectors such as Consumer and Industrials show minimal expansion, reflecting slower growth rates and limited competition for these assets.
Multiple expansion is highest for smaller deals under $100M EV. This reflects both lower initial valuations and re-rating as assets achieve scale. Larger assets, on the other hand, experience lower expansion, constrained in part by higher entry valuations.
Public-to-private transactions deliver the highest multiple expansion (+3.5x), largely driven by discounted entry valuations and subsequent re-rating at exit following operational improvements. Carve-outs show the least multiple expansion, reflecting their concentration in sectors such as Industrials, which offer limited scope for valuation uplift. Family-to-sponsor and sponsor-to-sponsor deals both show similar levels of multiple expansion (~+2.7x).
Chapter 06: Buy-and-Build
Companies with a more active buy-and-build strategy deliver higher returns across all performance quartiles. The median MOIC grows from 2.3x (no add-ons) to 3.7x (>5 add-ons). Buy-and-build strategies drive better returns by positively impacting all three value creation levers: revenue growth, margin expansion, and multiple expansion.
Buy-and-build works at any size but the uplift is strongest in small platforms. Smaller platforms benefit disproportionately from multiple expansion and accelerated revenue growth, starting from a lower base.
Companies with a more active buy-and-build strategy drive higher value creation through revenue growth. The reliance on multiple expansion decreases progressively, making these investments less susceptible to market downturns. However, successful integration and execution quality are important. Poorly executed acquisitions can destroy value regardless of strategy.
Revenue growth rates are higher for businesses with a more active buy-and-build strategy. Companies with over 5 acquisitions during the holding period grow at over 15% CAGR vs. 8% for those without. While this growth is partly inorganic, it drives scale and further organic growth through cross-selling opportunities and shared capabilities.
Margin expansion is the highest for those with a very active buy-and-build strategy (>5 add-ons over the holding period). Standalone platforms and small-to-medium buy-and-build platforms show more modest levels of margin improvement. We hypothesize that serial acquirers develop better integration capabilities over time, enabling them to extract greater cost efficiencies and synergies from each successive deal.
The multiple arbitrage strategy continues to work. Add-ons still typically trade at a 20% discount to platform deals due to their smaller size. PE firms acquire these smaller assets at lower valuations, integrate them to achieve scale, and benefit from the multiple uplift at exit.
Multiple expansion is higher for those with an active buy-and-build strategy (+3.5x on average vs. +1.8x for standalone investments). Buy-and-build strategies drive both revenue growth and scale, which leads to a higher multiple at exit.
Buy-and-build has gained popularity over the years. In 2025, 65% of deals exited had a buy-and-build component (up from 53% in 2020). 15% of businesses were serial consolidators, completing 5 or more deals during the holding period (up from 7% in 2020). This trend has been partly enabled by LP liquidity solutions such as single-asset continuation vehicles, which have allowed more time for consolidation strategies to work.
By sector, Financial Services and Services are the most active for buy-and-build. We see market fragmentation along with complexities in capturing organic growth as the key reasons for increased add-on activity in these sectors. In Financial Services, many asset managers and insurers pursue M&A to shore up their AUM and market share. Within Services, the biggest consolidators are in the Technical and Professional Services subsectors.
Methodology
The data for this report comes from Gain.pro. Our analysis covers over 10,000 private equity investments and exits globally over time. We include all transactions that led to liquidity, including partial exits.
We use the Shapley method of value decomposition to calculate the percentages for value creation drivers (revenue growth, margin expansion, and multiple expansion). We calculate each component's contribution across 6 permutations and average the results. This ensures that interaction effects are accounted for and that no component is favored due to sequencing.
For value creation analysis, we also exclude outliers and only analyze the data where all entry and exit metrics are available and there is positive total value creation.
We calculate MOIC as the ratio of exit equity value to entry equity value. Where equity values are not available, we estimate them using debt estimates at entry and exit.
Our dataset relies on publicly available deal sources, and as such, there might be an upward bias to our MOIC figures as the best-performing deals are typically reported more frequently than others.
All EBITDA-related aggregates, such as EBITDA margin and EV/EBITDA multiples, exclude Financial Services from calculations unless stated otherwise. EV/EBITDA multiples are based on trailing figures, while EBITDA margins represent the last reported values.













































































