Does the Growth Curve Match What the Business Is Actually Doing?

When a company reports impressive growth, the first thing we usually see is the result.

How much did sales increase? How much did transaction volume grow? How many more orders were generated?

But in one Commercial Due Diligence project, a particular growth curve led us to a different question:

What actually had to happen inside the business for that growth to occur?

The numbers started moving faster than the business

We were looking back at a transaction-driven company that was still in a period of rapid expansion.

Based on publicly available information, the business was not particularly large in its early stage. It then began entering several important markets, and transaction volume grew alongside that expansion.

Up to that point, the changes were relatively easy to understand.

New markets were opened. Customer coverage expanded. Transactions on the platform increased accordingly.

The growth numbers and the operating activity could broadly be placed on the same timeline.

A few months later, however, the curve suddenly became much steeper.

The company’s publicly reported transaction volume rose to several times its previous level within a relatively short period.

So we went back and looked again at what had actually happened during that period.

The business was certainly still expanding.

But the main observable changes were continued development of existing markets, a system upgrade, and preparations to enter another region. The product range had not changed on a comparable scale, nor had the business network expanded to an entirely different order of magnitude within that short period.

Those developments could certainly support growth.

They simply did not provide an obvious explanation for why the slope of the growth curve had changed so sharply.

At that point, the numbers did not become wrong.

They simply required more explanation.

External comparisons made the gap more visible

We then placed the growth curve back into the industry context of the time.

There was another company with a larger operating base, broader geographic coverage, and a more complete product range. By both business fundamentals and market position, it was closer to being an industry leader.

Yet the transaction volume it publicly reported did not reach the level later disclosed by the first company.

Another platform backed by several established industry participants had not reported a comparable level either.

None of this proved that the first company’s numbers were problematic.

Different businesses can have different operating models, customer mixes, average transaction values, and reporting definitions. A company may also outperform its peers sharply because of a major customer, a new channel relationship, or another operating development that is not yet visible from the outside.

But the comparison made the original question more specific:

If the growth really occurred, where was the business change that supported it?

Some trace of it should exist in the underlying operations.

Growth usually leaves operational traces

If a company suddenly begins selling substantially more, something usually changes alongside it.

There may be more customers.

The company may have entered new markets.

Its product coverage may have expanded.

Or a change in the business model may have materially improved transaction efficiency.

The specific explanation is less important than the underlying point.

Operating results rarely emerge entirely independently of operating activity.

So when a growth curve moves far ahead of the business changes we can observe, we do not immediately decide whether the number is true or false.

We become more interested in what appears to be missing in between.

There may be an important operating development that has not yet been identified.

Different people may be using the same term — such as “transaction volume” — to describe different things.

Or the transactions recorded in the number may genuinely have occurred, while their economic meaning is not the same as the headline figure might suggest.

In this project, further verification ultimately pointed more closely to the last possibility.

Some of the activity included in the overall transaction volume did not correspond to an equivalent level of genuine end-market demand.

In one statistical sense, the transactions had occurred.

But treating the same number as an equivalent amount of genuine sales, market demand, or sustainable operating capability would have gone beyond what the evidence supported.

What a number can prove depends on what it actually records

This is why we rarely treat an unusual growth curve as a conclusion in itself.

Very rapid growth does not mean the growth must be problematic.

And if observable business activity does not immediately explain the number, that does not mean management must be concealing something.

A mismatch between the two is, first of all, simply a gap that needs an explanation.

But it is a gap worth taking seriously.

Strong operating numbers can quickly become part of the next valuation, financing round, or investment decision. What ultimately determines whether those numbers can persist, however, is still the business underneath them.

A company can tell us how much it has grown.

The underlying operations leave a different set of traces: whether customers increased, whether the business expanded, whether the product offering changed, and whether the conditions supporting that growth still exist.

When those two sets of information support each other, the growth curve becomes easier to understand.

When they do not yet line up, there is no need to rush to a conclusion in either direction.

There is simply another question to keep asking:

What else would have needed to happen for this growth curve to make sense?

Sometimes, the missing part is the part most worth verifying.