Updated on

Market multiples are the most widely used litmus test to value companies quickly. But the “sector average multiple” is misleading: an Italian mid-market SME may be worth 30-50% more or less than that multiple depending on specific drivers. This is the updated 2026 table of EV/EBITDA multiples by Italian sector, with the corrections that really matter for estimating your realistic range.

EV/EBITDA multiples by sector — Italy mid-market 2025

SectorMedianTypical rangeSector premium (last 24m)
Software / SaaS12.5x8x — 18xStrong (above historical)
Healthcare / Medical devices11.0x8x — 15xStable
Specialty pharma10.5x8x — 14xStable
Premium food & beverage9.5x7x — 13xSlight premium
Luxury / fashion9.0x6x — 13xVolatile by brand
B2B specialist services8.0x6x — 11xStable
Specialty industrials7.5x5x — 10xSector-dependent
Industrial packaging7.0x5x — 9xStable
Precision mechanics7.5x5x — 10xStrong on Tier-1 OEM suppliers
Distribution / wholesale6.5x4x — 9xDiscount on commodity products
Consulting / professional services6.5x4x — 9xVolatile by founder dependency
Real estate (operational)10.0x7x — 14xRate-sensitive
Energy / utilities8.5x6x — 12xRegulatory-driven

The 7 corrections to the sector “average” multiple

The “average” multiple is the starting point. Seven specific drivers move the multiple up or down by 30-50%:

  1. Growth above sector: +CAGR/year vs sector = +0.4-0.7x multiple per percentage point above
  2. EBITDA margin above sector: +1pt margin = +0.2-0.4x multiple
  3. Recurring revenue %: +5pt recurring = +0.3-0.5x multiple
  4. Customer concentration: top-3 customers > 40% revenue = −1-2x multiple discount
  5. Management independence: founder-show = −2-3x; independent management = +0.5-1x
  6. Sector consolidation phase: industry consolidation in progress = +0.5-1.5x
  7. Geography: Northern Italy premium +0.5-1x vs Centre/South discount −0.5-1x

Maximum compound: ±40% relative to the median.

Practical examples (anonymised)

Example A — Precision mechanics SME, Northern Italy

Sector: specialty industrials (median 7.5x). Drivers: growth +12% CAGR, EBITDA margin 18%, recurring revenue 35%, customer top-3 = 28%, independent management, sector consolidating, Lombardy.

Corrections: +5% (growth) + 0% (average margin) + 5% (recurring) + 0% (concentration neutral) + 8% (independent mgmt) + 12% (consolidation) + 8% (North) = +38% on median

Applicable multiple: 7.5x × 1.38 = ~10.4x. Plausible range 9-11x.

Example B — Consulting professional firm

Sector: consulting (median 6.5x). Drivers: growth +6%, margin 22% (top of sector), recurring revenue 15%, customer concentration high 45%, founder show, stagnant sector, Tuscany.

Corrections: 0% + 12% (top margin) − 12% (no recurring) − 20% (high concentration) − 28% (founder show) − 5% (stagnant sector) − 3% (Centre) = −56% on median

Applicable multiple: 6.5x × 0.44 = ~2.9x. Plausible range 2.5-4x. Below sector median by far.

Premium by buyer type

  • Industrial strategic buyer with hard synergies: +15-35% premium on standalone multiple
  • PE financial buyer: pays close to median, rarely above; no synergy premium
  • Family office / patient capital: discount of 5-15% vs PE (longer hold horizon, accepts lower IRR)
  • Foreign cross-border buyer: premium 10-20% for strategic geographic entry

How to use these multiples in practice

  1. Identify your sector with precision (not generic “industry”)
  2. Apply the 7 corrections honestly (be self-critical on founder dependency, customer concentration)
  3. Build a 3-scenario range (low / median / high) instead of a point estimate
  4. Cross-check with at least one alternative method (DCF or transaction comps)
  5. Stress-test with at least one negative scenario (recession, key client loss)

FAQ

Where do these multiples come from? Are they reliable?

Aggregate from observation of M&A operations Italian mid-market 2023-2025, cross-checked with AIFI data, Mediobanca observatory, professional advisor benchmarks. Reliable as a starting point, never as an exact figure: each specific deal moves on case basis.

Can I use US/UK multiples by applying them to Italy?

No, with rare exceptions. Italian mid-market multiples are systematically 15-30% lower than US/UK equivalents due to: smaller market liquidity, lower exit optionality, “Italy discount” on regulatory/tax uncertainty. Use US/UK multiples only for orientation, never as direct benchmark.

What changes between “trading comps” multiple (listed peers) and “transaction comps” (M&A deals)?

Transaction comps (M&A deals) typically 15-25% higher than trading comps (listed peers) for control premium. For an unlisted mid-market sale, transaction comps are the right benchmark; trading comps useful as a floor.

How do I handle seasonality in multiples?

If EBITDA varies materially year-on-year (cyclical sectors, seasonal products), use 3-year average TTM EBITDA for smoothing.

Do multiples change after macro events (recession, rates)?

Yes, materially. Recession compresses multiples by 10-25%; high rates (high WACC) compress via DCF effect. 2025 pattern: ECB rates in easing phase → multiples in slight expansion for cash-generative sectors. Always update multiples to the specific period (do not use 2021 data).

Can I sell at a multiple above sector benchmark?

Yes, if you have the 7 positive corrections + a strategic buyer with synergies. “Outlier” multiples (50%+ above median) require special conditions: unique asset (patent), strategic positioning (only player), intense buyer competition (3+ serious bidders).

Want to calculate your specific multiple?

30-minute discovery call to apply the 7 corrections to your case, obtain a realistic multiple range + Enterprise Value, identify buyer types most aligned to your story.

Calculate my multiple →