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
| Sector | Median | Typical range | Sector premium (last 24m) |
|---|---|---|---|
| Software / SaaS | 12.5x | 8x — 18x | Strong (above historical) |
| Healthcare / Medical devices | 11.0x | 8x — 15x | Stable |
| Specialty pharma | 10.5x | 8x — 14x | Stable |
| Premium food & beverage | 9.5x | 7x — 13x | Slight premium |
| Luxury / fashion | 9.0x | 6x — 13x | Volatile by brand |
| B2B specialist services | 8.0x | 6x — 11x | Stable |
| Specialty industrials | 7.5x | 5x — 10x | Sector-dependent |
| Industrial packaging | 7.0x | 5x — 9x | Stable |
| Precision mechanics | 7.5x | 5x — 10x | Strong on Tier-1 OEM suppliers |
| Distribution / wholesale | 6.5x | 4x — 9x | Discount on commodity products |
| Consulting / professional services | 6.5x | 4x — 9x | Volatile by founder dependency |
| Real estate (operational) | 10.0x | 7x — 14x | Rate-sensitive |
| Energy / utilities | 8.5x | 6x — 12x | Regulatory-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%:
- Growth above sector: +CAGR/year vs sector = +0.4-0.7x multiple per percentage point above
- EBITDA margin above sector: +1pt margin = +0.2-0.4x multiple
- Recurring revenue %: +5pt recurring = +0.3-0.5x multiple
- Customer concentration: top-3 customers > 40% revenue = −1-2x multiple discount
- Management independence: founder-show = −2-3x; independent management = +0.5-1x
- Sector consolidation phase: industry consolidation in progress = +0.5-1.5x
- 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
- Identify your sector with precision (not generic “industry”)
- Apply the 7 corrections honestly (be self-critical on founder dependency, customer concentration)
- Build a 3-scenario range (low / median / high) instead of a point estimate
- Cross-check with at least one alternative method (DCF or transaction comps)
- 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.


