The Market Approach and Management Fees: Using Comparable Data from Other Industries to Value Health

We ranked the 30 largest healthcare services and information technology deals of 2018, according to our database, by valuation multiple. The lowest reported price to EBITDA multiples (10x or lower, sorted alphabetically) are listed below.

We ranked the 30 largest healthcare services and information technology deals of 2018, according to our database, by valuation multiple.

We ranked the 30 largest healthcare services and information technology deals of 2018, according to our database, by valuation multiple. The highest reported price to EBITDA multiples (15x or higher, sorted alphabetically) were as follows:

Healthcare services organizations rely on a variety of intangible assets to create business value, including patient and customer relationships, medical records, trade names, assembled workforce, licenses and certifications, non-compete clauses, proprietary technology, software, and others.

For those of you who’ve been involved in a transaction where the only asset transferred is a certificate of need, you’ve probably found that market data is scarce for CON-only deals.

On Monday, December 3, 2018, the Department of Health and Human Services (HHS) – in collaboration with the Departments of the Treasury and Labor, the Federal Trade Commission, and several offices within the White House – released a report detailing recommendations for improving choice and competition in the healthcare industry.

One of the questions we get asked a lot is how valuations have changed over time.

One of the many benefits of tracking healthcare transactions closely and maintaining a very large database of deals where we can get reliable price to EBITDA and revenue multiples is that it provides insight into profit margins for segments where other financial benchmarking information is sparse.

The most important component of a valuation of an accountable care organization (or other multi-provider network that relies on risk-based shared savings models) is the revenue forecast, which involves “probability-adjusting” future shared savings payments in some manner.