Free tool

Billing Exception Cost Calculator

Put a number on your exceptions queue. Enter how many accounts are stuck or unbilled, how long they have been there and what a typical customer pays, and see the revenue sitting unbilled, the amount already beyond the back billing limit and what every further month costs.

Why this matters. An exceptions queue is reported in tickets, so nobody sees the money. Domestic customers cannot be back billed beyond twelve months, which means every account that crosses that line turns unbilled revenue into a write off. This calculator turns the queue into cash, which is the number the board and the regulator will eventually ask for.

It uses your figures and simple arithmetic, runs in your browser and sends nothing anywhere. Treat the result as a sizing, not an audit.

The number of customer accounts currently stuck in an exceptions queue or not billing.

How long, on average, those accounts have been in the queue.

A typical dual fuel domestic bill is around £1,700. Use your own average if you know it.

£

The percentage of these accounts with unbilled energy older than twelve months. Leave blank if you do not know.

Staff time and any third party cost per account. £20 to £40 is typical. Leave blank to ignore.

£

Please enter at least the annual value and the delay in months.

Total exposure in the queue today
sitting unbilled right now
already beyond the back billing limit
added every month the queue stands

If that number worries you, it should

Exceptions are cheapest to clear before they cross the back billing line and before a regulator asks about them. We have recovered a £160m billing imbalance for a large UK supplier and we size, prioritise and clear queues like this for a living. A short, confidential conversation will tell you where the money is.

Book a confidential conversation

This is a deliberately simple model. It counts the benefit you postpone plus the cost of running longer, which is the honest core of billing exception cost. It does not try to model compounding, lost market position or team morale, all of which usually make the real figure larger, not smaller.