Problems › What Is My Business Actually Worth? › Banks & Financial Services
Valuation is mostly a question about the quality of the earnings, not the size of them. This page works through it for banks and financial services firms specifically — including an unedited excerpt from a real analysis of a bank.
Valuation is mostly a question about the quality of the earnings, not the size of them. What makes this harder for banks and financial services firms is structural: the branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement. Any credible answer therefore has to hold efficiency ratio and cost of funds in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Owners tend to think about valuation as a multiple applied to profit. Buyers think about it as a judgement on how much of that profit survives their ownership — which is why two businesses with identical earnings sell for very different numbers.
The drivers are consistent: how concentrated the revenue is, how much of it recurs, how dependent the business is on the owner, and how defensible the margin looks over the next few years. Each of those moves the multiple more than an incremental point of profit moves the base.
Which means the practical question is usually not "what is it worth" but "which of these is depressing the multiple, and can it be fixed in the time available before a sale".
These three together are the signature. One on its own usually points somewhere else.
✓ You are within a few years of a transaction and have never had the earnings normalised
✓ A large share of profit depends on relationships held by the owner
✓ Revenue is largely non-recurring and concentrated
The move that usually makes it worse. Optimising profit in the year before a sale while leaving the multiple drivers untouched, which usually adds less value than fixing one of them.
It is for you if you run or finance a bank and you are within a few years of a transaction and have never had the earnings normalised. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a bank. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Harborline Financial Group, a sample company profile used for testing rather than a customer — $3.1B commercial lending book, $410M of deposits.
Excerpt from a real Percision run · Cost Reduction & Efficiency · sample company profile
The move. Turn the 71% overlap into a sticky, data-driven treasury platform that raises switching costs and extends the relationship moat.
The leak it closes. Reduces operating-account attrition risk by raising switching costs; offsets 34%→22% non-interest-bearing share decline
The assumption it rests on. 50 pilot customers will adopt SaaS at $180–$420/month within 90 days of launch — the engine put the probability at 0.75.
| Investment required | $2.4–3.0M development (6 FTE × 24 months) + $0.8–1.2M 2027 core-migration integration = $3.2–4.2M total |
| Expected return | Risk/Reward 7.4×; NPV $3.1–4.2M on $3.2–4.2M investment within 5 years |
| Revenue, year 1 | $180K MRR (50 pilot customers) |
| Revenue, year 2 | $720K MRR (200 customers) |
| Revenue, year 3 | $1.8M MRR (500 customers) |
| Exit criteria | Kill the move if pilot converts <25 customers or MRR <$60K by Month 9; reallocate remaining budget to SBA 7(a)/504 desk or insurance referral partnership |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Growth Portfolio Framework, one of 29 engagements the platform runs. For banks and financial services firms it works through efficiency ratio, cost of funds, origination per banker and deposit concentration, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
Ranges by sector are easy to find and are the least useful part of the answer. Where you land inside the range is decided by concentration, recurrence, owner dependence and margin defensibility.
Two to three years if the aim is to move the multiple, because that is how long recurring revenue and reduced owner dependence take to become visible in the numbers.
It depends on the buyer. Financial buyers pay for durable cash flow; strategic buyers pay for what the business does to their own position. Knowing which you are preparing for changes what to fix.
Materially, yes. The branch network is simultaneously the deposit moat and the cost problem — and the relationship knowledge sits in six people close to retirement — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are efficiency ratio, cost of funds, origination per banker, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on efficiency ratio and cost of funds. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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