Quality of Earnings looks backward.
That work matters. A buyer needs to know whether reported earnings are real, recurring, adjusted correctly, and supported by the underlying records.
Quality of Growth asks a different question: can this business grow the way the buyer hopes it can?
That question does not live in the same files. It lives in the market, the buyer base, the pricing story, the sales motion, and the assumptions behind the acquisition thesis. The distinction gets missed because the deal process runs on QoE. It is the established artifact, the shared language between buyer and seller, and the baseline for price negotiation. Forward growth assumptions live in the CIM and the model, where they arrive pre-framed.
The growth story can be clean and weak
A company can have clean historical earnings and still have a weak forward growth story.
A business priced 20% below market because the owner never tested resistance looks different in QoE than it does in a commercial read. The earnings are real. But the pricing story is either an opportunity the new owner can realize, or a fragility that only holds because of the incumbent relationship.
The owner may hold the key customer relationships, the sales motion may depend on referrals that cannot scale, and the top three accounts may be stable now but fragile after a change in ownership. None of that makes the business bad. It changes the growth plan, and in some cases it changes the price.
A lightweight read targets what the growth story most often overstates
A lightweight commercial read should look at the parts of the story that are easiest to overstate: customer retention dynamics, whether pricing reflects value or just habit, how the company wins when it is not the incumbent, market growth versus market noise, owner dependency in the sales motion, and whether partner or channel relationships translate into actual revenue.
Those checks do not replace QoE, legal review, technical diligence, or formal customer research. They keep the growth thesis honest before the process gets expensive. For a business where the growth assumption is doing most of the work in the model, that honesty matters early.
The right output
The output should map the growth story against the evidence, flag the weakest assumptions, and close with the questions worth checking before committing more time.
That is enough to help a buyer decide whether to keep going, slow down, or redirect the diligence effort. Not every growth story holds up. Some businesses have clean earnings and a thin forward story, and some of that thinness is not visible until someone looks for it. Better to find it at the start than to build it into a model that gets tested after close.