Public Software Valuation Multiples — July 2026

Last updated on 09 July 2026·Software

Public software valuations in July 2026

Software multiples in July 2026 show clear segmentation across infrastructure, vertical, and horizontal categories, with significant dispersion in both revenue and EBITDA multiples reflecting varying market maturity and profitability profiles.

Public investors seem to currently value software companies based on AI application (or death risk due to AI disruption), technical complexity, market position, and specialization depth - rather than TAM size alone.

Scroll below for valuation multiples across SaaS sectors.

EV / Revenue (NTM)

What are public horizontal SaaS multiples in July 2026?

Horizontal SaaS public comps in July 2026 show wide valuation dispersion (a sign of AI's "creative destruction"). Design and engineering software commands premium multiples, as companies like Autodesk and Adobe successfully integrate AI features that enhance rather than cannibalize their core products. Vertical AI-native applications trade at similarly strong levels, reinforcing that the market is rewarding AI-driven value creation across the board.

By contrast, sales automation sits well below the broader SaaS average (gen AI threatens to fundamentally replace traditional CRM workflows rather than augment them). AdTech and video streaming (as usual) trade at even steeper discounts, though this reflects longer-standing structural issues rather than recent AI disruption: massive platform dependency risk for MarTech players, and unsustainable infrastructure costs that can consume the vast majority of revenues in streaming.

#
1
Design & Engineering Software
4.6x
12.4x
12%
37%
$239K
2
Artificial Intelligence
3.7x
15.4x
22%
33%
$203K
3
Supply Chain Management Software
3.2x
14.5x
10%
39%
$251K
4
ERP Software
3.1x
13.1x
10%
38%
$208K
5
BI & Analytics Software
2.6x
11.0x
13%
38%
$258K
6
Productivity Software
2.6x
10.5x
10%
33%
$397K
7
Financial Management Software
2.3x
11.1x
13%
37%
$217K
8
Human Capital Management Software
2.1x
8.4x
11%
40%
$279K
9
Communication & Collaboration Software
1.9x
8.9x
9%
32%
$379K
10
Content Management Software
1.8x
7.0x
8%
36%
$358K
11
E-commerce Software
1.6x
8.6x
10%
28%
$333K
12
Sales & Marketing Automation Software
1.6x
7.1x
10%
34%
$279K
13
Video & Streaming Software
1.4x
8.6x
7%
28%
$310K
14
AdTech Software
1.0x
6.4x
10%
23%
$395K
Median2.3x9.6x11%33%$265K

Regression analysis across horizontal SaaS comps shows strong correlation between NTM revenue multiple and revenue growth.

x-axis:
y-axis:

Data as of July 12, 2026. Companies with EV multiples above 50x and y-axis values above 250% are considered non-meaningful and excluded from calculation.

Alphabet, Microsoft, Meta, Oracle, or Palantir are one of the highest valued horizontal SaaS comps.

Enterprise Value

What are public vertical SaaS multiples in July 2026?

Vertical software comps slightly outperform horizontal SaaS on average - not surprising given that industry-specific software naturally creates deeper customer relationships and higher switching costs than vanilla horizontal alternatives.

In July 2026, within verticals, automotive software trades high, benefiting from the sector's ongoing digital transformation and mission-critical workflows. Travel and hospitality anchors the bottom of the group (thinner margins and more cyclical demand patterns typical of the space).

#
1
Automotive Software
3.3x
10.1x
15%
38%
$125K
2
Real Estate Software
3.3x
12.2x
13%
32%
$285K
3
Financial Services Software
3.1x
11.3x
9%
38%
$205K
4
Industrial Software
3.0x
10.9x
10%
35%
$223K
5
Healthcare Software
2.4x
10.1x
9%
31%
$178K
6
Energy & Utilities Software
2.1x
13.5x
10%
29%
$292K
7
Public Sector & Non-Profit Software
2.1x
10.6x
9%
39%
$211K
8
Travel & Hospitality Software
2.0x
8.5x
7%
35%
$183K
9
POS & Retail Management Software
1.9x
12.5x
12%
27%
$224K
10
Transportation & Logistics Software
1.9x
9.6x
10%
34%
$194K
11
Education Software
1.7x
8.0x
7%
26%
$227K
12
Media & Entertainment Software
1.6x
11.2x
7%
17%
$208K
13
Professional Services Software
1.4x
8.5x
9%
30%
$180K
Median2.4x10.8x9%34%$195K

Similar to horizontal SaaS, vertical software comps also show strong correlation between NTM revenue multiple and YoY revenue growth.

x-axis:
y-axis:

Data as of July 12, 2026. Companies with EV multiples above 50x and y-axis values above 250% are considered non-meaningful and excluded from calculation.

S&P Global, Cadence Design Systems, Moody's, or Constellation Software are one of the highest valued vertical SaaS comps.

Enterprise Value

What are public infrastructure SaaS multiples in July 2026?

Infrastructure SaaS is (as usual) pulling ahead of everything else. Data infrastructure commands the highest multiples across all categories, driven by the AI data boom. Every enterprise AI initiative begins with the data layer, and companies like Snowflake and Databricks have made themselves indispensable to that buildout. DevOps trades at a similar premium, underpinned by some of the stickiest contracts in enterprise software and a market projected to roughly double over the next decade.

Cloud infrastructure, however, trades at a notable discount to its peers, despite being the foundation everything else runs on. The implication is clear: investors are starting to treat cloud compute as a commodity. Data and DevOps have that moat. Cloud, increasingly, does not.

#
1
DevOps
7.9x
33.0x
18%
39%
$423K
2
Data Infrastructure
5.7x
21.4x
18%
41%
$292K
3
Developer Tools
4.7x
24.4x
15%
40%
$347K
4
Cybersecurity
3.2x
15.0x
11%
33%
$235K
5
Cloud Infrastructure
2.8x
10.2x
13%
39%
$399K
6
Network Management
2.7x
12.9x
9%
34%
$288K
7
IT Operations Management
2.4x
13.3x
11%
31%
$347K
Median2.9x12.2x12%35%$302K

Revenue growth drives revenue valuation multiple - infrastructure SaaS comps show strong correlation between NTM revenue multiple and revenue growth.

x-axis:
y-axis:

Data as of July 12, 2026. Companies with EV multiples above 50x and y-axis values above 250% are considered non-meaningful and excluded from calculation.

Cisco, IBM, Dell, Palo Alto Networks, or Crowdstrike are one of the highest valued infrastructure SaaS comps.

Enterprise Value

Data and methodology

Underlying data

Public markets data is powered by FactSet (consensus analyst estimates), and Morningstar (historical data). Data points are calendarized to December where relevant: retrieved data on financial year ends (e.g. FY, FY+1 etc.) are mapped to calendar years (2025A, 2026E etc.) before the appropriate month weights are then applied to prior/future fundamentals.

Private transaction data is multi-sourced, aggregated from harvesting public information, 3rd party APIs, and data engineering. All data is verified and provided with an extensive manual process. If data permits, we apply our own logic to get to the EV. For example, for a large M&A deal with available information on the target's net debt, we might adjust a valuation to fully reflect an accurate EV. In all other cases, we take the reported valuation as the numerator. Financials: we source LTM revenue and LTM EBITDA data from company filings, press releases, or other verified sources. If LTM data is unavailable, we take the 'next best-fit' period (run-rate or calendar year), provided it makes sense in a given case. For example, if a deal closed in November 2025, we might take full-year 2025 revenue as a revenue benchmark.

Any raw figures are harmonised to USD for comparison purposes.

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