The Books Sector Paradox: More Transactions, Less Spending

Saudi Arabia’s books and stationery sector recorded a striking paradox during the week of October 4–10, 2026: the number of point-of-sale transactions rose by 10.7%, while their value fell by 12%. This shows that an increase in the number of purchases does not necessarily mean higher spending, and that understanding consumption requires looking at the number of transactions, their value, and the average transaction value together.

Sometimes the most intriguing economic insight is hidden in a small line in a long table.

That is what happened in the Saudi Central Bank’s weekly point-of-sale transactions report for October 4–10, 2026.

Among dozens of sectors, a paradox stood out in the books and stationery category:

The number of transactions rose from about 1.65 million to 1.83 million, a weekly increase of 10.7%.

At the same time, the value of these transactions fell from about 135.3 million riyals to 119.1 million riyals, a decrease of 12%.

Put simply:

There were more transactions, but the total amount paid was lower.

How does that happen?

And does an increase in the number of transactions mean people bought more books and stationery?

What can this small paradox tell us about how to read consumption figures correctly?

The headline number doesn’t tell the whole story

The Saudi Central Bank publishes weekly point-of-sale transaction reports to track electronic payment activity across sectors and cities. The reports show the number and value of transactions, along with the week-on-week change.

For the books and stationery sector, the figures for the last two weeks were as follows:

Source: Saudi Central Bank weekly point-of-sale transactions report.

If we looked only at the first column, we would say:

Activity increased.

If we looked only at the second column, we would say:

Spending declined.

Both statements are correct.

But each describes a different aspect of behavior.

A third figure emerges here—one the table doesn’t show directly

We can calculate a simple metric from the data:

Average transaction value = total transaction value ÷ number of transactions

For the week of September 27 to October 3:

135.296 million riyals ÷ 1.652 million transactions = about 81.9 riyals per transaction.

And for the week of October 4–10:

119.075 million riyals ÷ 1.828 million transactions = about 65.1 riyals per transaction.

That means the average transaction value fell by about 20.5% in a single week.

And that is where the paradox becomes clear.

The number of transactions rose by 10.7%, but the average transaction became so much smaller that total spending ultimately fell by 12%.

This is a simple but very important equation for understanding consumption:

Total spending = number of transactions × average transaction value

The first factor can rise, but if the second falls by more, the final result can still decline.

Does this mean people bought more items?

Not necessarily.

This is an important point when interpreting the data.

The point-of-sale report tells us that the number of financial transactions increased.

But it does not tell us how many books, pens, or notebooks were purchased.

A single transaction might include one book, or it might include ten products.

The same person may also make more than one transaction during the week.

So the more accurate way to put it is:

The number of purchases recorded at points of sale increased.

From these data alone, we cannot say that “the number of items purchased” rose by 10.7%.

This distinction may seem linguistic, but it is actually economic.

Misunderstanding what a metric measures can lead to a conclusion quite different from what the data actually say.

What might explain more transactions but lower value?

There is more than one possible economic explanation.

But SAMA’s data alone do not allow us to determine which, if any, actually occurred.

Consumers may have made a greater number of small purchases.

The product mix may have shifted toward lower-priced goods.

There may have been promotions or discounts.

Purchases in the previous week may have included transactions with higher-than-usual values.

There may also have been a change in the mix of customers or stores included in the activity.

These are all possible explanations, not findings confirmed by the report.

That distinction matters.

Good economic analysis does not turn a possibility into a fact just because it sounds plausible.

Four weeks make the story more intriguing

When we extend the comparison to four weeks instead of two, the picture becomes more complex:

Source: Calculations based on Saudi Central Bank data.

These figures reveal something important:

Spending can remain similar in value even as the number of transactions changes dramatically.

In the week of September 20–26, for example, spending was about 119.7 million riyals, very close to the 119.1 million riyals recorded in the final week.

But the number of transactions was completely different:

1.097 million transactions versus 1.828 million.

In other words, two weeks recorded almost the same amount of spending, but the way they got there was very different.

In the first, there were fewer transactions with higher values.

In the second, there were more transactions with lower values.

This shows why the total figure alone can be lacking in information.

The same 119 million riyals—but a different economy within the number

Imagine two stores that each made one million riyals in sales.

The first made it through 1,000 transactions, averaging 1,000 riyals per transaction.

The second made it through 10,000 transactions, averaging 100 riyals.

Their final revenue is the same.

But their customers’ behavior is completely different.

The products may be different.

The price structure is different.

The nature of demand is different.

And perhaps even the company’s strategy is different.

That is why economists and analysts do not stop at the question:

How much did people spend?

They also ask:

How often did they spend, and how much was each transaction worth?

Why does average transaction value matter?

Average transaction value, sometimes called Average Transaction Value, is simply the average amount paid in each transaction.

It is not a complete metric on its own, but it helps us understand what is driving changes in sales.

If total spending rises, the reason may be:

An increase in the number of transactions.

An increase in the value of each transaction.

Or both together.

And if it falls, the reason may be:

A decrease in the number of transactions.

A smaller basket size.

Or both together.

In the books and stationery sector during the final week, something different happened:

The number of transactions increased, but their average value fell by more.

That is what caused total spending to decline.

Is a lower average transaction value a bad thing?

Not necessarily.

A drop in the average transaction value from about 82 riyals to 65 might seem like a negative sign.

But we cannot judge it without knowing the reason.

If it was caused by price discounts, the quantity sold may have increased.

If it was caused by consumers shifting to lower-priced products, it may reflect a change in their preferences.

If it was caused by more small purchases, it may mean the activity’s customer base has broadened.

If it resulted from a decline in purchases of higher-priced products, it could mean something different.

The problem is that the point-of-sale report does not give us quantities, prices, or the composition of the basket.

So we can see what happened to payments, but on its own, the report cannot tell us exactly why it happened.

That in itself is an important lesson in reading statistics.

The difference between “spending” and “consumption”

The two terms are sometimes used as if they mean the same thing, but it is useful to distinguish between them.

Point-of-sale data measure the value of transactions made through point-of-sale terminals.

The concept of household consumption in macroeconomics is broader than that.

So we should not take the movement of a single sector over one week and say that “consumption in the economy has risen” or “fallen.”

What we can say precisely is:

During that week, the number of point-of-sale transactions in the books and stationery sector increased, while their total value declined.

What we can analyze next is how that figure was formed.

This is what makes weekly data useful

The value of high-frequency data, such as point-of-sale transactions, is that it gives us a very quick snapshot of economic activity.

We do not have to wait months to notice a change.

But that speed comes with greater responsibility when interpreting the data.

Weekly data can be affected by seasons, paydays, holidays, promotions, the start or end of the school year, and even the number of working days.

That is why we should look for trends rather than chase every weekly change as if it were a lasting economic shift.

In the books and stationery sector, just four data points already show how much the average transaction value varied—from about 109 riyals to 82 riyals and then to 65 riyals.

That alone is enough to warn us against building a complete economic story around a single week.

What can we learn from one line in a SAMA report?

The first lesson is that the number of transactions is not the same as the value of spending.

The second lesson is that the number of transactions is not the number of items purchased.

The third lesson is that average transaction value can explain an important part of what the total figure does not show.

The fourth lesson is that comparing with just one week can be misleading; the wider the period, the clearer the context becomes.

Most importantly, an economic figure is not a ready-made answer.

It is the beginning of a question.

When we see that transactions in books and stationery rose by 10.7% while their value fell by 12%, we should not ask only:

Did spending rise or fall?

Instead, we should ask:

What happened within spending itself?

The answer here shows us that activity can become more frequent while being worth less each time.

That is why understanding the economy does not always start with the biggest number in the table.

Sometimes it starts with the paradox between two neighboring columns.

Weekly_Points_of_Sale_Transactions_Report_10-Oct-2026