Ownership and succession in the lower middle market

Owner succession can create acquisition opportunities, but demographic trends do not establish whether an individual company is available to buy. This guide examines public data on ownership, the limits of transition forecasts, and the evidence needed to assess a particular business.

Assessing succession forecasts

You have read some version of this sentence in a fund deck: a large share of American business owners are over a certain age, trillions of dollars of enterprise value will transition within a decade, and most owners have no written plan. Each clause comes from a different place, and they are not equally solid.

• Owner age is measured by the federal government, in the Annual Business Survey [1]. It is survey-based, it covers employer firms, and it publishes age bands rather than a mean. Check the survey population and definitions before applying a figure.
• “Trillions in transition” is almost always a modelled estimate produced by a firm with something to sell, built by multiplying a firm count by an assumed multiple of an assumed earnings figure. Every one of those three inputs is an estimate. Treat the headline as an order of magnitude and never as a citation.
• “No succession plan” comes from survey work, most consistently the State of Owner Readiness series [12] and related research on ownership transition [13]. Surveys of business owners have well-known response bias; the direction of the finding is robust across surveys, the magnitude is not.

The distinction matters because the first clause supports an origination strategy on its own. If a substantial share of the owners of firms in your size band are within a decade of retirement, then a strategy of being the known buyer in that sector, permanently, has a mechanical justification. You do not need the trillions.

Public sources

Six federal sources carry most of the weight. They measure different things and they will not agree with each other, which is a feature: when two of them disagree, the disagreement is usually telling you about a definition you had not noticed.

Querying it yourself

The Annual Business Survey is not a PDF. It is an API, and the owner-characteristics tables are addressable [2] [4]. That matters for a practical reason: the number you want is almost never the number in the press release. You want owner age for your NAICS codes, in your employee size band, possibly in your states, and nobody has published that cut.

The owner tables are organised by a question descriptor, QDESC, which selects which characteristic you are asking about, with owner age under its own descriptor. You request the variable list for the year you want, then the estimate and its margin of error together. The margin is the part people drop, and dropping it is how a survey estimate becomes a fact in a deck.

What the data cannot tell you

Population statistics answer questions about populations. Origination needs answers about individual companies, and the gap between the two is where most bad work happens.

1. Statistics do not name companies. Knowing that a given share of owners in a NAICS code are over sixty tells you the strategy is worth running. It tells you nothing about which firm to call, and a firm is not more likely to be a target because its industry has an old ownership base.
2. Age is not intent. The correlation between owner age and willingness to sell is real and weak. Plenty of seventy-year-olds have no intention of stopping, and the actuarial tables [11] are a poor substitute for someone actually saying what they want. Treating age as intent is the single most common error in origination targeting, and it produces the emails owners find most insulting.
3. The transition may not be a sale to you. Family succession, a management buyout, an ESOP, a wind-down and a sale to a strategic are all transitions. The employee-ownership literature is a useful corrective here precisely because it counts the same population and reaches a different conclusion about where it should go [13].
4. Commercial coverage also has limits. Vendor coverage of small private firms is incomplete in ways that vary systematically with firm size and country, which is documented carefully in the research literature on constructing representative firm-level data [14]. Assess database coverage separately from the size of the market.

Making ownership a researchable question

The move that makes all of this operational is to stop asking “is this an attractive succession situation?” and start asking a small number of questions with fixed, mutually exclusive answers. A vague question produces a paragraph. A fixed question produces a value you can sort on, and a value you can be wrong about in a way somebody will notice.

The ownership question we use decomposes into four:

The fourth row is the important one. “Appears to be approaching retirement” is unfalsifiable and unrankable. “Long tenure, no successor, quoting a sentence from the company’s own about page” can be checked by a second reader and overturned.

What counts as evidence of ownership

Ownership is unusually hard to evidence in the United States, and it is worth being explicit about the ladder of evidence rather than pretending every answer is equally good.

1. A statement by the company, dated.For illustration, “wholly owned by the founding family” directly addresses ownership. A statement that the founder still leads the business establishes a management role, not ownership. Check the date and distinguish the company’s statement from independent confirmation.
2. A filing. A Form D names the issuer and its executive officers and directors [16]. A trademark registration names an owner and an address, and a trading name’s real owner is frequently visible there and nowhere else [19]. Entity registries confirm existence, status and formation date, though most US states do not publish shareholders [17]. An LEI record, where one exists, carries parent relationships in a structured form [18].
3. A press report of a transaction. Good for what happened, weak for what is true now. A 2019 growth investment tells you a sponsor was involved in 2019.
4. Inference from a person’s title and tenure. A founder-titled chief executive of twenty-five years at a company with no visible investor is very probably an owner. This is a presumption and should be recorded as one, not laundered into a fact.
5. Absence of contrary evidence.The weakest rung, and still worth recording explicitly: “no sponsor, parent or listing found after checking these five places” is a finding with a date on it. It is not the same as “independent,” and it should never be displayed as though it were.

Succession signals, ranked by how much they are worth

Not all observable signals are equal. Roughly in descending order of how much they should move your prioritisation:

• A stated intention. An owner quoted in a regional business journal saying they have thought about what comes next. Retain the exact wording and date; considering options does not necessarily mean a sale is planned.
• An adviser engagement.A boutique retained, a “strategic alternatives” line, a new corporate development page. Confirm the scope of the engagement before drawing conclusions about timing.
• A finance hire. A first CFO, or a controller replaced by someone with transaction experience, may warrant further research, but does not by itself establish sale preparation.
• Long tenure with no successor. Record what is publicly known and leave succession intent open unless it is stated.
• Estate or ownership-structure changes. A holding company formed, a property transferred, a new entity registered at the same address. Visible in registries if you are looking.
• Owner age alone. Last, and much closer to noise than the industry treats it. Use it as a tiebreak, never as a trigger.

Notice that four of the six are events rather than states. Origination is therefore a monitoring problem as much as a research problem: the value of knowing a company is not in the snapshot, it is in noticing the day the snapshot changes. That is an argument for a standing research file per company rather than a project that ends.

Possible ownership transitions

A succession thesis should account for several possible outcomes. A sale to a financial buyer is one route among family succession, management or employee ownership, strategic acquisition, and closure.

The churn data is the sobering part of that table. Establishment births and deaths run at meaningful rates every quarter in normal conditions [7], and a business that closes was never going to be bought by anyone. Any projection of “companies that will transact” built by applying a transaction rate to a firm count, without netting out the ones that simply stop, is overstating the opportunity.

The timing of a transition

A long-term demographic trend offers limited guidance on the timing of an individual owner’s decision.

Owner transitions are triggered by events that are largely invisible and almost entirely uncorrelated with your fundraising cycle: a health event, a spouse’s retirement, a partner wanting out, a large customer loss, an unsolicited approach from a competitor that reframes the question. None of those is forecastable from public data. What public data can do is tell you where to be standing when one happens.

That reframes the operating question from “who is selling?” to three answerable ones:

1. Who could we credibly buy? Answerable now, from research, for the entire universe.
2. Which of them know who we are? Answerable from your own contact record, and usually a much smaller number than anyone expects.
3. What would we notice if something changed? Answerable only if you decided in advance what to monitor and actually monitor it.

A maintained research file can record changes in leadership, company structure, and public statements. Treat those changes as reasons to review the record, rather than as proof that a sale process is imminent.

There is also an ethical dimension worth stating plainly, because it has commercial consequences. You are researching, and eventually contacting, people about the largest financial decision of their lives, often prompted by nothing more than their age. An approach that leads with a demographic inference is both offensive and ineffective. An approach that leads with something specific and true about their business — which is what the research is for — is neither.

The contrast with the UK

It is worth knowing how much of this difficulty is specific to the United States. In the United Kingdom, Companies House publishes filed accounts, officers and a register of persons with significant control, free, for essentially every company [15]. The available disclosures differ from those in US state registries.

Two consequences. First, if your thesis spans both, do not assume the same method or the same confidence applies to both; the US answers will be softer and should be marked as such. Second, the American difficulty is itself a source of edge. A question that is expensive to answer is a question most buyers have not answered, which is the entire economic basis for doing this work systematically rather than buying a list on which everybody has the same blanks.

Applying the findings

Four principles for applying this research:

1. Separate the population claim from the company claim.Use federal statistics to justify the strategy and to size the universe. Never use them as evidence about a specific company. If your memo says “a large share of owners in this sector are near retirement, therefore this owner is,” you have committed the base-rate error in its purest form.
2. Date everything. Ownership is the fact most likely to have changed since you learned it. Include the date of the source and the date it was reviewed.
3. Set a review schedule. A not-found should stand for a defined period and then be asked again. Otherwise you either re-research the same blank weekly at real cost, or you never re-research it at all and your file quietly rots.
4. Let the demographic argument justify persistence, not urgency.The right conclusion from the succession data is that a buyer who is present and known in a sector for a decade will be there when each owner arrives at their own decision. The wrong conclusion is that there is a wave to catch this year. Retirement decisions are made one person at a time, on a timetable that has nothing to do with your fund’s investment period [10].

Sources

References for the research and standards discussed in this guide. Some publications require a subscription or institutional access.

1. [1]
   Annual Business Survey (ABS)

   U.S. Census Bureau

   The federal source for characteristics of US business owners, including owner age bands, by sector and firm size.

2. [2]
   Annual Business Survey API documentation

   U.S. Census Bureau

   Variable lists and examples for the ABS endpoints, including the owner-characteristics tables keyed by QDESC.

3. [3]
   Annual Business Survey methodology

   U.S. Census Bureau

   Sample design, estimation and the definition of a respondent employer firm. Read before quoting any ABS figure as a population count.

4. [4]
   Census Data API: available datasets

   U.S. Census Bureau

   The machine-readable side of every dataset below. A free key, then plain HTTP and JSON; most people quoting census numbers have never called it.

5. [5]
   Statistics of U.S. Businesses (SUSB)

   U.S. Census Bureau

   Firm counts and employment by enterprise size, which is how you size the population of buyable companies.

6. [6]
   County Business Patterns (CBP)

   U.S. Census Bureau

   Establishment counts, employment and payroll by NAICS code and county. The spine of any honest market map.

7. [7]
   Business Employment Dynamics

   U.S. Bureau of Labor Statistics

   Quarterly establishment births, deaths, expansions and contractions.

8. [8]
   Office of Advocacy research and data

   U.S. Small Business Administration

   Small business profiles by state, firm demographics and the FAQ series most trade press quotes second-hand.

9. [9]
   Small Business Credit Survey

   Federal Reserve Banks

   Annual survey of firm financial condition, credit demand and outcomes, with public microdata.

10. [10]
    Research on the Baby Boom generation and retirement

    Pew Research Center

    The demographic curve behind every 'silver tsunami' claim in the lower middle market.

11. [11]
    Actuarial Life Table

    U.S. Social Security Administration

    Primary mortality data. Useful when a thesis rests on the age of a principal.

12. [12]
    State of Owner Readiness research

    Exit Planning Institute

    Survey series on how prepared private business owners are to transition, and how few have a written plan.

13. [13]
    Research on retiring business owners and employee ownership

    Project Equity

    Work on the volume of retiring owners without an identified successor, framed from the employee-ownership side.

14. [14]
    How to Construct Nationally Representative Firm Level Data from the Orbis Global Database

    National Bureau of Economic Research · 2015

    A careful account of what commercial company databases are missing and how their coverage skews by size and country. Read before trusting any vendor's universe count.

15. [15]
    Companies House

    UK Government

    Free filings, accounts and persons with significant control. Ownership research is trivially easier in the UK than the US.

16. [16]
    Form D — notice of exempt offering of securities

    U.S. Securities and Exchange Commission

    Private raises leave a public trace here, including the issuer's address and the size of the offering.

17. [17]
    OpenCorporates

    OpenCorporates

    Aggregated company registry data across jurisdictions, with provenance back to the filing source.

18. [18]
    Legal Entity Identifier (LEI) search

    Global Legal Entity Identifier Foundation

    Open, free entity identifiers with parent relationships. The nearest thing to a global primary key for companies.

19. [19]
    Trademark Status and Document Retrieval (TSDR)

    U.S. Patent and Trademark Office

    Ownership, addresses and specimens of use. A trading name's real owner is frequently here and nowhere else.

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