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Book a MeetingFrom 1 April 2023, Cloud computing services and data became qualifying R&D expenditures for both tax relief schemes (RDEC and SME), as well as the incorporation of advancements in pure mathematics in the definition of qualifying R&D activities.
Following the launch of a consultation in the spring of 2020 by HM Treasury, the government listened to feedback and announced in the 2021 Autumn Budget that the definition of qualifying R&D expenditure would expand to include data and cloud computing.
In the 2022 Spring Statement, they revealed that the definition of pure mathematics would also be included, with businesses able to claim for these additional costs from 1 April 2023.
For accounting periods on or after April 2023, the new qualifying R&D expenditure will give businesses the chance to claim more. Let’s look at each of the qualifying costs in further depth to see how they may help companies build their future claim value.
Costs related to cloud computing, data processing, data analysis and software development may now be claimed for R&D tax reliefs. It’s a strong move from HMRC: the majority of IT-related sectors already know that the cloud computing costs of running cloud technologies like machine learning (ML) and AI solutions, amongst other things, are not insignificant. It requires a lot of power to create, maintain, run and store these types of software.
Data and Cloud computing R&D expenditure will be especially beneficial for small to medium businesses in the tech sector. They often have high costs associated with cloud computing, which can often act as a barrier to business growth. Being able to reclaim some of these expenses will help companies redirect funds to other areas of R&D or put an additional budget behind cloud computing.
The decision to include licence payments of datasets as qualifying expenditure for R&D tax relief is a welcomed addition and reflects a modernisation of the scheme.
At EmpowerRD, we share the same view as the Treasury: datasets or data storage are as critical to R&D as raw materials and labour input. And it’s great that detailed guidance has already been provided on which specific dataset costs will be qualifying.
Essentially, expenditure on datasets via licenses used directly for R&D in a qualifying R&D project will qualify for relief. However, in a situation where an access agreement covers multiple datasets, of which some are used for non-R&D purposes, costs must be apportioned.
Companies will not be able to claim relief on the cost of datasets that can be either resold or have a lasting value to the business beyond the scope of the project. Specifically, costs relating to a licence agreement which grants the following will not qualify:
The lack of a definition of pure mathematics from HMRC in the eligibility guide for qualifying R&D expenditure has caused problems for many companies over the years. For instance, an R&D tax relief claim for a business whose R&D is mostly mathematical has always faced a higher chance of an enquiry from HMRC; it’s also put off some businesses from claiming altogether.
Because of the mathematical nature of their R&D, industries that previously faced increased risk will benefit significantly from the introduction of a definition of pure mathematics. There is no detailed guidance yet on how to assess the eligibility of pure mathematics, which is why we look forward to HMRC publishing further information in the coming months.
For a long time the exclusion of data, cloud computing and pure mathematics from the R&D tax credits scheme have been an issue for developing industries in the UK, such as Artificial Intelligence (AI), Quantum Computing and Robotics. It’s also been a problem for more established sectors like manufacturing.
The cost of cloud computing has always been significant and the lack of clarity around pure mathematics has put certain companies at a much higher risk of an enquiry from HRMC.
Therefore, the introduction of data, cloud computing and pure mathematics are welcomed by us at EmpowerRD. They’ve always been needed for companies to cover data driven research and develop new solutions and it’s great to see this acknowledged.
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