Insights — Acquisition & Buy-and-Build — 4 min read
How to Research Privately Owned Businesses
Researching private companies requires a different toolkit than public markets. Here is how to build a commercial picture when data is limited.

In short
Researching privately owned businesses requires triangulating multiple sources: Companies House for baseline financial and ownership data, digital footprints (websites, LinkedIn, job boards) for operational signals, and industry-specific intelligence for market positioning. Because private companies disclose significantly less than public ones, the goal is to build a 'probabilistic' picture of their scale, stability, and strategic fit before initiating contact. This research informs whether a company is a potential strategic target, not whether it is currently for sale.
When a company is listed on a public exchange, research is a matter of reading prospectuses and annual reports. When you are looking at the UK’s millions of private businesses, the information is fragmented, often out of date, and rarely tells the whole story. For an acquirer, this lack of transparency is a challenge, but also an opportunity—deep research can uncover high-quality targets that others have overlooked.
This article sets out the commercial research process for privately owned UK businesses. It covers the primary data sources, the secondary signals that indicate growth or distress, and how to combine these into a coherent profile of a potential strategic target. Note that Evans provides commercial research and target intelligence; we do not provide corporate finance, legal, or tax due diligence, and recommend qualified professional advisers for those areas.
The baseline: Companies House and statutory filings
In the UK, Companies House is the foundation of private company research. While small companies (those meeting two of: turnover < £10.2m, balance sheet < £5.1m, < 50 employees) can file 'filleted' accounts that omit a profit and loss account, there is still significant value to be found. The key is to look beyond the top-line numbers.
- Balance Sheet strength: Look at net assets and cash at bank over a three-year period to assess stability.
- Charges and Mortgages: High levels of secured debt may indicate capital intensity or financial pressure.
- Ownership structure: Identify the Persons with Significant Control (PSC). Is it founder-owned, family-owned, or backed by private equity?
- Group structure: Check if the company is a subsidiary. The real commercial activity might be elsewhere in the group.
- Confirmation Statements: Check for recent share transfers, which can signal changes in the cap table or preparation for an exit.
Digital signals: Operational reality vs. filing history
Because filed accounts are often months or even years out of date, digital signals are essential for understanding a company's current trajectory. These signals show what the company is doing today, rather than what it did two years ago.
| Signal Type | What it indicates | Where to find it |
|---|---|---|
| Hiring activity | Growth, new departments, or high turnover | LinkedIn, Indeed, Company 'Careers' page |
| Search visibility | Market authority and customer acquisition strength | SEMrush, Ahrefs, Google Search results |
| Tech stack | Operational maturity and integration complexity | BuiltWith, Wappalyzer |
| Customer reviews | Service quality and reputational risk | Trustpilot, Google Maps, industry forums |
| Social engagement | Brand health and customer sentiment | LinkedIn, industry-specific social channels |
Industry-specific intelligence
Broad data sources only go so far. To truly understand a potential strategic target, you must look at it through the lens of its specific sector. In manufacturing, this might mean checking trade directories or specialised certifications (ISO standards, BSI Kitemarks). In technology, it might mean reviewing GitHub repositories or API documentation if public.
Trade associations are also a rich source of intelligence. A company that is active in its trade body, speaking at events, or winning industry awards is often a company that is confident in its market position. Conversely, a long-standing member that suddenly stops engaging may be undergoing internal changes.
The limitations of public data
It is critical to acknowledge what public research cannot tell you. It cannot tell you the owner's personal motivation, the exact breakdown of their customer concentration, the true quality of their management team, or their willingness to sell. A company can look perfect on paper but have a culture that would make integration impossible.
Synthesising the research: The Target Profile
The output of this research should be a standardised Target Profile. This allows you to compare multiple companies objectively. The profile should include a summary of the 'Acquisition Thesis'—why this specific company makes sense for your business—and a list of 'Known Unknowns' to be addressed if the conversation progresses.
Naturally, the Build My Acquisition Thesis tool can help you define the criteria you are looking for before you start this deep research. Once you have a clear thesis, the Acquisition Opportunity Engine can automate the identification and initial research of companies that fit those criteria, focusing your time on the highest-potential targets.
Ethical considerations and confidentiality
Researching a private company must be done discreetly. Accessing public records is standard practice, but 'mystery shopping' or reaching out to their customers under false pretences is commercially risky and ethically questionable. The goal of research is to prepare for a respectful, professional introduction, not to conduct a covert investigation that damages the target's business.
Considering growth through acquisition?
Acquisition Opportunity Engine identifies and researches businesses that fit your acquisition criteria — on-market listings and potential strategic targets that are not known to be for sale — and helps prioritise where to look first. Commercial research, not transaction advice. From £695 + VAT per month.
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