Introduction
This article provides a data reference for M&A and trading multiples across major sectors, designed to ground the valuation frameworks covered throughout this guide in real market data. Multiples shift with market conditions, so each figure here is tied to its data provider and period, and any live analytical work needs a fresh pull. The underlying principles (why multiples vary by sector, how interest rates affect them) are durable; the specific numbers are time-sensitive.
The 2025-2026 M&A Environment
Global M&A reached $4.81 trillion in 2025 on Mergermarket's full-year count, the second-highest annual total on record and up 41% from 2024. A record 70 megadeals (each above $10 billion) contributed $1.53 trillion, and a further 367 transactions in the $2-10 billion range added $1.46 trillion. Providers count differently: LSEG's data puts the same year at $4.6 trillion, up 49%, so any year-over-year comparison should use one provider on both sides. Notable landmarks included the bidding war for Warner Bros. Discovery (won by Paramount Skydance at about $31 per share in cash after Netflix walked away from its $83 billion agreement; closed on October 6, 2026, after an antitrust settlement with state attorneys general), the Electronic Arts take-private at $55 billion (the largest all-cash sponsor LBO on record, completed in August 2026), and Alphabet's $32 billion acquisition of cybersecurity firm Wiz.
Sponsors were central to the 2025 surge: the number of mega buyouts (deals above $10 billion) more than doubled from 6 in 2024 to 13 in 2025. On Mergermarket's figures, North American M&A reached $2.65 trillion (its second-best year after 2021), while EMEA climbed 24% to just over $1 trillion and APAC reached $1 trillion (up 33%).
The momentum carried into a record-chasing first half of 2026, then rising rates checked it. LSEG data reported by Investment Executive shows third-quarter value falling 41% from the second quarter to $993 billion, with megadeals dropping from 26 in Q2 to 10 in Q3. For the first nine months, LSEG tallies $3.9 trillion, up 28%, while deal count fell 8%. Mergermarket's nine-month count is higher at $4.44 trillion (up 27%), but both describe a large-deal market: fewer transactions carry more of the value while the mid-market recovers slowly.
PE vs. Strategic Buyer Multiples
One of the defining features of this cycle is the gap between private equity and corporate buyer pricing, and PitchBook's quarterly Global M&A Reports show it narrowing through 2026:
| Scope | Corporate-Led Deals | PE-Led Deals | Gap |
|---|---|---|---|
| Global (trailing twelve months, PitchBook Q1 2026 report) | 9.8x | 12.6x | +2.8x |
| North America and Europe (trailing twelve months, PitchBook Q3 2026 report) | 8.9x | 11.5x | +2.6x |
| North America and Europe (2026 year to date, PitchBook Q3 2026 report) | 8.9x | 10.9x | +2.0x |
PE sponsors have paid roughly two to three turns of EBITDA more than strategic buyers through this cycle. The premium reflects about $1.3 trillion of buyout dry powder (Preqin data in Bain's 2026 private equity report), competition for quality assets, and willingness to pay up for defensive characteristics (recurring revenue, contractual cash flows, market leadership). PitchBook's Q3 2026 data puts that premium at its narrowest since 2023 and blames higher financing costs, which make leveraged buyouts less competitive against cash-rich strategics. In business services and healthcare services, PE-backed buy-and-build platforms remain the dominant acquirers.
Historical Context: The 2019-2026 Multiple Cycle
Understanding current multiples requires understanding the cycle that produced them:
2019 (pre-pandemic). The median M&A multiple was approximately 10x EV/EBITDA, consistent with the long-term average in a stable, moderate-rate environment.
2020-2021 (pandemic stimulus). Central banks cut rates to near zero and flooded markets with liquidity. Combined with accelerated digital transformation, this pushed M&A multiples to historic highs. SaaS companies were acquired at 30-50x revenue. Technology sector median EV/EBITDA exceeded 25x. Sponsors, armed with record dry powder and 6-7x leverage capacity, competed aggressively with strategics.
2022-2023 (rate shock). The Federal Reserve raised rates from 0% to 5.25-5.50%, the fastest tightening cycle in 40 years. Multiples compressed 40-60% across most sectors. M&A volume dropped approximately 35-40% as the bid-ask spread widened dramatically. Leveraged lending tightened, reducing LBO affordability by 1.5-2.0 turns of EBITDA.
2024-2025 (recovery). The Fed began cutting in September 2024 and ended 2025 at 3.50-3.75%. Both buyers and sellers adjusted expectations, and global M&A value rose 41% in 2025 to $4.81 trillion on Mergermarket's count. Multiples recovered to approximately 15-20% below the 2021 peak but 10-15% above the 2023 trough. The megadeal wave (70 deals above $10 billion) was the primary driver, with mid-market activity recovering more gradually.
2026 (rates turn higher). Multiples held through the first half, with PitchBook's global median trailing multiple at 10.2x in its Q2 2026 report. Then the rate backdrop reversed (elevated inflation, a September Fed hike, a 10-year yield above 5%), third-quarter deal value slumped, and the PE premium over strategics compressed as financing costs rose.
Regional Differences
M&A multiples vary significantly by geography:
| Region | Median EV/EBITDA (M&A, 2025) | Key Drivers |
|---|---|---|
| United States | 10.5-11.0x | Deepest capital markets, highest PE activity |
| Western Europe | 8.5-9.5x | Lower growth, regulatory complexity |
| United Kingdom | 9.0-10.0x | Post-Brexit repricing, some GBP-driven discount |
| Asia-Pacific (developed) | 9.0-11.0x | Japan reform story, Australia active in resources |
| Emerging Markets | 6.0-8.0x | Higher risk premiums, less leverage availability |
The US consistently commands the highest M&A multiples globally because of its deeper capital markets, more active PE ecosystem, greater leverage availability, and the concentration of high-multiple sectors (technology, healthcare). European multiples run 1-2 turns below the US for comparable businesses, partly reflecting structurally lower growth and partly reflecting the more fragmented regulatory landscape. Volume follows the same ordering, though Europe is catching up: in LSEG's data for the first nine months of 2026, the US market accounted for more than half of global value (about $2 trillion, up 38%), European deal value rose 54%, and Asia-Pacific grew just 11%.
M&A Multiples by Sector
Technology and Software
| Sub-Sector | Median EV/EBITDA | Median EV/Revenue | Key Driver |
|---|---|---|---|
| Software (all deals) | ~19.0x | ~3.7x | Recurring revenue, high margins |
| SaaS | 15-25x | ~3.1x | ARR growth, Rule of 40 |
| IT Services | ~10.2x | 1.0-2.0x | Labor model, lower margins |
| Semiconductors | 20-30x | 5-8x | AI demand, supply constraints |
Technology remains the highest-valued sector over the long run, with software carrying the highest 10-year median M&A EV/EBITDA at approximately 19x across over 600 transactions with disclosed terms. Treat that figure as a long-run benchmark, not a read on 2026 pricing: public software valuations fell nearly 30% in February 2026 before a partial recovery, according to Bain's 2026 midyear private equity report, reflecting investor unease about what AI agents mean for seat-based software revenue (the SaaS valuation reset traces the knock-on writedowns in PE portfolios). AI now cuts both ways: companies with genuine AI capabilities command 30-50% premiums over comparable non-AI software, while seat-based products exposed to automation are priced at a discount to their own history. Semiconductors have seen extraordinary multiple expansion on the AI compute buildout, with NVIDIA, the world's most valuable company, setting the sector's ceiling: a run of record highs in early October 2026 lifted its market value close to $6 trillion, according to CNBC.
For high-growth SaaS companies, EV/Revenue remains the primary multiple because many targets have negative or minimal EBITDA. The Rule of 40 (revenue growth + EBITDA margin exceeding 40%) is the standard benchmark: companies exceeding it consistently trade at 2-3x the EV/Revenue multiple of those below. PE firms (Vista Equity, Thoma Bravo, Francisco Partners) have built specialized operating playbooks for software, making them competitive with strategic buyers for high-quality SaaS targets.
Healthcare
| Sub-Sector | Median EV/EBITDA | Key Driver |
|---|---|---|
| Healthcare (overall) | ~12.8x | Defensive demand, PE consolidation |
| Biopharma (commercial) | 12-18x | Pipeline quality, patent cliff exposure |
| Healthcare services | 11-15x | Reimbursement mix, scale advantages |
| Medtech/devices | 15-22x | Innovation pipeline, regulatory moats |
| Life sciences tools | 18-25x | Essential research infrastructure |
Healthcare and IT trade at the highest median M&A multiples across sectors (12.5-12.8x), reflecting their scalable business models, recurring revenue characteristics, and strong investor demand for growth and resilience. Within healthcare, the life sciences tools sub-sector (companies providing essential research equipment, reagents, and services to pharmaceutical and biotech companies) commands the highest multiples (18-25x) because the customer base is diversified, revenue is largely recurring, and demand is driven by pharmaceutical R&D budgets that are relatively insensitive to economic cycles. Medtech companies with innovative product pipelines and regulatory moats also command premiums (15-22x), while healthcare services multiples (11-15x) are driven by the PE consolidation wave that has transformed how physician practices, clinics, and outpatient facilities are valued and acquired.
Financial Services
| Sub-Sector | Primary Multiple | Typical Range | Key Driver |
|---|---|---|---|
| Large-cap banks | P/TBV | 0.7-2.6x | ROE vs. COE |
| Insurance (P&C) | P/B | 1.0-2.0x | Combined ratio, reserve adequacy |
| Asset management | P/AUM, P/E | 1-3% AUM, 10-15x P/E | AUM growth, fee compression |
| Fintech | EV/Revenue | 5-15x | Growth trajectory, profitability path |
Financial services carry a median M&A multiple of approximately 10.3x, though equity value multiples (P/TBV, P/E) are the standard for banks and insurers since EV/EBITDA is not meaningful when debt is an operating asset. The Capital One/Discover deal ($35.3 billion, completed 2025) remains the defining financial services transaction of the current cycle, priced at a meaningful premium to Discover's tangible book value and reflecting the strategic value of Discover's payment network. Fintech multiples have compressed from 20-40x revenue in 2021 to 5-15x in 2025, tracking the broader technology repricing but with additional pressure from profitability scrutiny and reduced consumer lending margins.
- Median M&A Multiple
The middle value in a set of transaction multiples for deals completed in a specific sector and time period, representing the "typical" price paid. Median is preferred over mean because it minimizes distortion from outlier transactions. M&A multiples differ systematically from trading multiples because they include control premiums and synergy expectations. The gap between the two approximates the sector's typical acquisition premium.
Industrials and Manufacturing
| Sub-Sector | Median EV/EBITDA | Key Driver |
|---|---|---|
| General manufacturing | 6.5-8x | Cyclicality, capex intensity |
| Specialty industrials | 10-14x | Technology content, niche markets |
| Aerospace and defense | 16-18x | Government contracts, long-term visibility |
| Business services | 8.1-12x (strategic), up to 23x (PE) | Recurring revenue, scalability |
Industrial multiples vary more by sub-sector than almost any other category. Manufacturing experienced a reset in 2025, with multiples dropping to 6.5x as reshoring tailwinds were offset by input cost pressure and trade policy uncertainty. Aerospace and defense reached 16-18x, reflecting elevated defense spending across NATO countries (driven by the Ukraine conflict and broader geopolitical tensions) and the long duration of government contracts that provide revenue visibility.
Business services is the most active sub-sector for PE-driven M&A, with some platform deals reaching 20-23x EV/EBITDA. The premium reflects the recurring revenue characteristics of many service businesses (payroll processing, compliance services, facility management) and the proven success of buy-and-build strategies in fragmented services markets.
Consumer and Retail
| Sub-Sector | Median EV/EBITDA | Key Driver |
|---|---|---|
| Luxury brands | 12-18x | Brand durability, pricing power |
| Consumer staples | 10-14x | Defensive demand, margin stability |
| Specialty retail | 8-12x | Same-store sales, digital penetration |
| Restaurants/QSR | 8-14x | Unit economics, franchise model |
Consumer and B2C sectors carry median multiples in the 8.1-8.4x range, with significant premium for brand strength and franchise models. Luxury brands (LVMH, Hermes, Prada) command the highest consumer multiples because their pricing power, global brand recognition, and resilient demand through economic cycles justify premium valuations. The 2025 deal landscape in consumer has been active: Prada Group's acquisition of Versace, 3G Capital's acquisition of Skechers, and continued PE consolidation in restaurant and retail franchise platforms illustrate the range of deal types and valuations in this sector. For lease-heavy retailers and restaurants, EV/EBITDAR (adding back rent expense) is the correct metric to neutralize the own-versus-lease decision.
Energy and Natural Resources
| Sub-Sector | Median EV/EBITDA | Key Driver |
|---|---|---|
| Oil and gas E&P | 4-7x | Commodity price, reserve life |
| Midstream/pipelines | 8-12x | Fee-based contracts, volume stability |
| Mining | 5-8x | Commodity exposure, reserve quality |
| Renewable energy | 10-15x | Policy support, long-term contracts |
Energy carries the lowest median M&A multiple at 7.4x, followed by Materials and Resources at 8.9x, both impacted by asset intensity and commodity cycle exposure. The renewable energy segment commands a significant premium, reflecting the energy transition, decarbonization mandates, and long-term contracted cash flows (power purchase agreements with 15-25 year durations) that make renewables more similar to infrastructure than traditional energy. The bifurcation within the sector is striking: conventional hydrocarbon assets at 4-7x versus clean energy assets at 10-15x reflects the market's assessment that ESG-driven capital reallocation will continue to favor the latter.
Mid-cycle normalization is essential for all energy and commodity multiples because trailing EBITDA at a cyclical peak dramatically understates the "true" multiple: a company appearing cheap at 5x peak EBITDA may be expensive at 10x mid-cycle EBITDA. The 2026 oil market makes the point concrete. After the war with Iran disrupted tanker traffic through the Strait of Hormuz, Brent crude averaged above $100 a barrel in March, April, May and September, peaking at a monthly average of about $117 in April, according to EIA spot price data. Upstream earnings that capture those prices flatter trailing multiples, so an E&P that screens at 4x on 2026 EBITDA should be tested against a normalized oil deck before anyone calls it cheap.
Real Estate and Infrastructure
| Sub-Sector | Primary Multiple | Typical Range | Key Driver |
|---|---|---|---|
| REITs (office) | P/FFO, NAV | 8-14x P/FFO | Remote work impact, cap rates |
| REITs (industrial/logistics) | P/FFO, NAV | 18-28x P/FFO | E-commerce demand |
| Data center REITs | P/FFO, NAV | 25-40x P/FFO | AI/cloud demand explosion |
| Utilities | EV/EBITDA, P/E | 8-12x EBITDA | RAB growth, rate sensitivity |
Data center REITs have been a dramatic outlier, with P/FFO multiples expanding to 25-40x as the AI power demand thesis has driven explosive growth in data center construction and leasing. The Blackstone Infrastructure consortium's $11.5 billion acquisition of TXNM Energy at 1.8x rate base illustrates the infrastructure investor appetite for regulated assets with predictable returns and exposure to the electrification trend.
Media and Telecommunications
| Sub-Sector | Primary Multiple | Typical Range | Key Driver |
|---|---|---|---|
| Pure-play streaming (Netflix) | EV/EBITDA | 25-35x | Subscriber base, margin expansion |
| Diversified media | SOTP | Varies by segment | Streaming + linear + parks |
| Wireless telecom | EV/EBITDA | 6-8x | Subscriber base, ARPU, capex intensity |
| Gaming | EV/EBITDA | 12-20x | IP value, live services, mobile growth |
Media multiples span the widest range of any sector. Netflix at 25-35x reflects a global streaming platform with expanding margins. Traditional cable at 7-8x reflects a business model facing secular decline from cord-cutting. The ongoing conglomerate discount at diversified media companies (exemplified by Vivendi's four-way split in December 2024) continues to drive restructuring activity as companies seek to unlock value by separating streaming, studios, and legacy distribution businesses.
How to Use Sector Multiples in Practice
As a DCF Sanity Check
When building a DCF, compare the DCF-implied EV/EBITDA multiple to the sector benchmark. If the DCF implies 18x for a company in a sector that typically trades at 10-12x, either the projections are aggressive or the company is genuinely exceptional. The sector multiple provides a reality check that prevents disconnected outputs.
For Quick Valuation in Initial Conversations
Before detailed analysis, bankers use sector multiples for back-of-the-envelope valuations in initial client conversations. "Your company generates approximately $150 million in EBITDA. Companies in your sector have been acquired at 10-13x, implying an enterprise value of $1.5-2.0 billion." This directional estimate frames client expectations before the formal engagement begins.
For Precedent Transaction Calibration
When sourcing precedent transactions, the sector multiples calibrate expectations. If the sector's median M&A multiple is 11x and the client expects to sell at 15x, the precedent set should specifically include transactions where similar premiums were achieved, with documented reasons why (competitive auction, unique synergy profile, or favorable market conditions).
- Deal Value vs. Deal Count
M&A multiples can be measured by deal value (total enterprise value of transactions, skewed toward mega-deals) or deal count (number of transactions, more representative of typical deals). In 2025, mega-deals averaged 12-14x EV/EBITDA while mid-market deals averaged 9-10x, reflecting the size premium that larger, more diversified businesses command. When citing "the market multiple," always specify whether the benchmark is value-weighted (skewed toward mega-deals) or count-based (more representative of typical transactions).
Key Themes Driving 2025-2026 Multiples
AI premium. Companies with genuine AI capabilities trade at 30-50% premiums to peers, across software, semiconductors, and data infrastructure. Approximately 20% of global convertible bond issuance in 2025 was AI-linked, signaling the breadth of the theme.
PE dry powder deployment. About $1.3 trillion of buyout dry powder keeps competition for quality assets intense, supporting multiples at the upper end of historical ranges, and the number of mega buyouts more than doubled in 2025 versus 2024. In 2026 the binding constraint shifted from capital to financing cost, which is why the PE premium has narrowed even with funds still under pressure to deploy.
Rates turn higher. The easing that took the Fed to 3.50-3.75% by the end of 2025 reversed with the September 2026 hike, and the 10-year Treasury yield moved above 5%. Higher rates work against the narrowing of the bid-ask spread that unlocked 2025 dealmaking: buyers now underwrite a higher cost of capital and less leverage, which tends to reopen the gap with sellers who anchor on earlier pricing. The third-quarter drop in megadeals coincided with that shift (the 2026 rate reversal and its valuation effects get their own article).
Private credit growth. The expansion of private credit (financing roughly 85% of LBOs by count over the trailing year, though banks have clawed back over half of the $1 billion-plus financings; the NAV lending market alone is valued at $100 billion globally) has supported financial buyer affordability by providing an alternative to the syndicated loan market. Direct lenders offer speed, certainty, and flexibility that traditional bank-led syndications cannot match, though at a modest cost premium (100-200 bps wider spreads).
Defense and security. Geopolitical tensions (Ukraine, Taiwan Strait, Middle East) have driven a sustained increase in defense budgets across NATO countries, pushing aerospace and defense multiples to 16-18x, well above their historical 10-12x range. This repricing reflects the market's assessment that elevated defense spending is structural (multi-year budget commitments), not cyclical.
Healthcare consolidation continues. PE-backed healthcare services platforms continue to consolidate fragmented sub-sectors (dental, dermatology, ophthalmology, behavioral health), typically acquiring individual practices at 5-8x and building platforms valued at 12-18x. The multiple arbitrage between platform and add-on multiples remains one of the most reliable PE value creation strategies.


