A Quality of Earnings review, usually shortened to QoE, tests whether your reported profit is real, repeatable, and likely to last. It matters before a sale, a fundraise, or an exit because buyers do not pay top money for numbers they can’t trust.
For SaaS and AI companies, this goes well beyond tidy accounts. Reviewers will look hard at recurring revenue, churn, ARR, contract terms, deferred revenue, and revenue recognition. They want to know one thing: will this revenue still be there after the deal closes?
The good news is that a strong review is not built on theatre. It is built on clean records, clear definitions, and honest explanations.
Start by understanding what buyers and investors are really checking
A normal accounts review tells someone what happened. A QoE review asks whether those earnings are repeatable, whether the adjustments are fair, and whether any risks are hiding in the detail. It is less about the headline profit number, and more about the strength behind it.
That matters more in 2026 than it did a few years ago. Private SaaS deal multiples in Europe have stayed sensible, not silly, and weak diligence can still knock 10 to 30 per cent off value. A good QoE builds trust early. A poor one slows the deal, widens the questions, and gives the other side room to chip away at price.
A QoE review is the point where the story in your deck has to match the evidence in your data.
What a QoE review looks at in practice
In plain English, the reviewer will test your reported earnings and then try to strip out noise. That usually means adjusted EBITDA, revenue quality, working capital, customer concentration, margins, and unusual or one-off costs.
They will ask whether a legal bill was truly one-off. They will test whether services revenue has been mixed into subscription revenue. They will look for anything that flatters profit in one period but will not repeat.
They are also checking how your numbers are built. If your board pack, general ledger, and billing data all tell slightly different stories, that creates doubt fast.
Why SaaS companies face extra scrutiny
SaaS businesses often look simple from the outside. Monthly subscriptions, growing ARR, nice gross margins. But the detail matters. A reviewer will test recurring revenue by contract, billing record, and revenue recognition policy.
They will also look at churn, deferred revenue, renewal patterns, and customer retention. In SaaS, buyers are not paying for last month’s invoice run. They are paying for the next 12 to 24 months of expected cash generation.
That is why AI and hybrid pricing models get extra attention. If revenue depends on pilots, usage spikes, or custom service work, the reviewer will want to separate what is durable from what is not.
Get your financial records clean, consistent, and easy to follow
Most deal pain starts here. Not because the business is weak, but because the records are messy. A QoE review moves much faster when monthly reporting is consistent, reconciliations are up to date, and every key number has a clear trail back to source data.
Messy books do not only create admin. They create suspicion. If a reviewer needs three calls to understand one month of revenue, they will assume there are bigger problems still to find.
Make sure your monthly numbers tie back to the accounts
Your management accounts should match the general ledger. The general ledger should match bank reconciliations. Your deferred revenue balance should tie back to billing and contracts. This sounds obvious, but mismatches between systems are one of the most common reasons diligence gets bogged down.
If one report says £120k MRR and another says £114k, nobody will pick the nicer number. They will ask why your process failed.
Keep your month-end close tidy. Clear suspense accounts. Reconcile bank, payroll, VAT, debtors, and creditors. If you use more than one finance or billing system, build one version of truth and document it.
Separate recurring revenue from one-off income
Buyers care about what is likely to continue. So you need a clean split between subscription revenue and everything else, including setup fees, consultancy, implementation, training, pass-through costs, and hardware.
This is where plenty of SaaS firms get caught out. A strong top line can look weaker once one-off project work is stripped away. That does not mean the business is bad. It means the recurring base needs to be shown properly.
For AI businesses, the same rule applies to pilots and usage-heavy contracts. If the pricing model is mixed, explain it clearly rather than hoping it blends in.
Document any adjustments to EBITDA before the review starts
Add-backs are normal. Loose add-backs are not. If you want to adjust EBITDA for a one-time legal cost, founder salary normalisation, aborted project spend, or personal expenses through the business, keep the support ready from day one.
Each adjustment needs a short explanation and evidence. An invoice, payroll record, contract, or board note is better than a verbal story.
Weak add-backs hurt credibility because they suggest management is trying to sell a cleaner business than the one that exists.
Prepare the SaaS metrics that will shape the conversation
Your financial statements tell part of the story. Your SaaS metrics tell the rest. If those metrics are inconsistent, badly defined, or impossible to reconcile, the review will go deeper and feel more hostile.
Strong metrics do not need to be perfect. They do need to be consistent. The reviewer should be able to recalculate them and land in the same place. That is why clean MRR and ARR bridges explained matter so much.
Show clean ARR and MRR calculations
Decide what counts as recurring revenue, write down the rule, and stick to it. If ARR includes discounts in one month but not another, or excludes paused accounts inconsistently, your trend data becomes unreliable.
Reviewers will often test ARR and MRR back to billing exports and customer contracts. If you have annual prepayments, usage-based billing, or hybrid pricing, show how those flow into your metric logic. Hidden assumptions are where trouble starts.
For many SaaS firms, the headline number is less important than the bridge behind it. New, expansion, contraction, churn, and reactivation should all be visible.
Be ready to explain churn, retention, and Net Revenue Retention
These numbers show whether customers stay, grow, or disappear. Gross churn tells one story. Revenue churn tells another. NRR shows whether expansion offsets losses.
In 2026, median NRR around 101 to 103 per cent is common. Numbers above 110 per cent still attract better attention because they suggest customers are sticking and spending more. If your NRR is below 100 per cent, be ready to explain why and what changed.
A cohort-based SaaS financial model often tells this story better than blended averages. Cohorts show whether newer customers behave better, worse, or exactly the same as the older ones.
Break down customer concentration and contract quality
If 25 per cent of revenue sits with one customer, that affects earnings quality. So do short contracts, weak renewal terms, easy cancellation rights, and heavy discounting.
Reviewers will ask how predictable your revenue really is. A broad customer base on clear contracts usually looks stronger than fast growth driven by a handful of oversized deals.
This is not only about concentration risk. It is about whether revenue is locked in, likely to renew, and profitable to serve.
Put the right documents in one place before the review begins
A slow diligence process usually means one of two things. The records are not ready, or nobody owns them. Good preparation gives you speed and control, which matters because confidence often rises or falls in the first week.
If you are raising or preparing for a transaction, your data room for SaaS raises should feel boring in the best way. Easy to follow. Clearly labelled. No scavenger hunt.
Build a finance pack the reviewer can trust quickly
Start with monthly management accounts, statutory accounts, tax returns, bank statements, aged receivables, aged payables, and a clear chart of accounts. Historic monthly data usually matters more than a single year-end snapshot because trends matter in QoE.
Include reconciliations for key balances and a bridge from statutory profit to adjusted EBITDA. If there are restatements or prior period fixes, show them rather than waiting to be asked.
Collect customer, billing, and subscription data early
Have signed contracts, renewal schedules, billing exports, cancellation records, pricing history, and any special commercial terms ready. Reviewers often test numbers against source data, not only finance reports.
If your contracts changed over time, explain when and why. If older deals have odd terms, flag them early. Surprises create friction.
Prepare people, process, and product information too
QoE is not only about spreadsheets. Buyers also want to know whether the business can keep running after the deal. That means organisation charts, payroll data, commission plans, key employee roles, and any heavy dependency on a founder or one engineer.
For AI and product-led businesses, it helps to explain the product roadmap, support model, and any major cloud cost exposure. If continuity depends on one person holding the whole machine together, that is a risk.
Avoid the mistakes that usually slow deals down
Most red flags are not dramatic fraud issues. They are smaller habits that damage trust. Smoothing revenue, over-claiming add-backs, or ignoring overdue debt can turn a manageable review into a painful one.
The fix is not spin. The fix is honesty, backed by evidence.
Do not mask revenue problems or timing issues
If revenue moved between months to make a quarter look stronger, it will come out. If a weak period was hidden behind annual billing or late invoices, that will come out too.
Be open about seasonality, delayed enterprise starts, or contract timing. A reviewer can work with a genuine business pattern. They will not work well with manipulation.
Do not overstate add-backs or one-off adjustments
This is one of the fastest ways to lose credibility. An adjustment must be genuine, non-recurring, and well supported. If it looks like normal operating spend dressed up as exceptional, expect pushback.
Be strict with yourself before the reviewer is strict with you. That saves time and protects the stronger points in your case.
Do not ignore working capital, aged debt, or customer risk
Reported profit is not the same as cash value. Overdue receivables, doubtful debts, unpaid invoices, and a weak collections process all affect what the business is worth in real terms.
The same goes for customer concentration. If your biggest customer is slow-paying, on a short-term contract, and responsible for a big slice of ARR, that risk belongs in the discussion early.
Use a simple prep plan to stay ahead of the review
You do not need a giant project plan to get ready. You need order. The best prep is usually done in three passes: fix the numbers, assemble the evidence, then rehearse the answers.
Start earlier than feels comfortable. Six to 12 months before a process is far better than six weeks before one.
Create a sell-side readiness checklist
Build one internal checklist that covers financial records, SaaS metrics, contracts, revenue recognition, add-backs, working capital, and customer risk. Keep it short enough to use and detailed enough to catch gaps.
This helps you find problems before the reviewer does. It also stops the process living in one person’s head.
Assign one owner for the data room and Q&A
One person should control document flow, request tracking, and final responses. That might be your finance lead, CFO, or founder, but it should not be five people replying ad hoc.
Consistency matters. Mixed answers from sales, finance, and operations create confusion, even when nobody is hiding anything.
Fix obvious issues before the buyer sees them
If contracts are missing, policies are unclear, reconciliations are behind, or metric definitions change month to month, fix them now. Early fixes are cheaper than late explanations.
The same goes for things you already know are weak. If churn rose, say why. If gross margin dipped, show the driver. Buyers do not expect a flawless business. They do expect one that understands itself.
The numbers need to stand on their own
A well-prepared Quality of Earnings review proves your business is solid, scalable, and trustworthy. Clean financials, clear SaaS metrics, and honest reporting give buyers and investors something they can defend to their own teams.
When the accounts tie back, the metrics are consistent, and the risks are already explained, the review becomes far less stressful. That usually means a smoother process, stronger trust, and a better shot at protecting valuation.
Over 12 years across Big Four audit, investment banking and corporate advisory. Kishen works with UK SaaS and AI companies on financial strategy, fundraising and board-level CFO support. ICAEW regulated. Big Four trained. Based in London.