Back in 2017, Apple hit the headlines after it admitted to deliberately slowing down old iPhones.

Now, the tech giant has been fined a whopping €25million (£21million) for not warning consumers about this practice.

The fine was imposed by France’s competition and fraud watchdog DGCCRF.

In a statement about the fine, the DGCCRF explained: “Following an investigation by the Directorate-General for Competition, Consumption and Law Enforcement frauds (DGCCRF) and after agreement of the Public Prosecutor of Paris, the Apple group agreed to pay a fine of €25 million in the context of a criminal transaction.”

Apple deliberately slowed iPhones down in its iOS 10.2.1 update in the hopes of smoothing out the very high and quick peaks of power draw that caused problems with older batteries.

Speaking at the time, an Apple spokesperson said: “Our goal is to deliver the best experience for customers, which includes overall performance and prolonging the life of their devices.

“Lithium-ion batteries become less capable of supplying peak current demands when in cold conditions, have a low battery charge or as they age over time, which can result in the device unexpectedly shutting down to protect its electronic components.”

However, the DGCCRF believes that Apple should have been more open with consumers about these tactics.

In its statement, it added: “These updates, released during the year 2017, included a dynamic power management system which could, under certain conditions and especially when the batteries were old, slow down the functioning of the iPhone 6, SE and 7 models.

“Unable to revert to the previous version of the operating system, many consumers reportedly forced to change batteries or even buy a new phone.”

Apple said in a statement that is has resolved the issue with the watchdog.

And while it does still slow down older iPhones, the tech giant has made it much clearer to consumers about when performance management has been switched on.

Apple added: “The effects of performance management on these newer models may be less noticeable due to their more advanced hardware and software design.”