Tenancy Fraud Now Costs UK Landlords £4.1bn a Year, Data Shows

The private rented sector is facing a financial threat that has, until now, been poorly quantified: tenancy fraud. New analysis from referencing specialist Goodlord, drawn from more than one million tenant applications, puts the annual direct cost to the UK's rental market at £4.1bn, with 41 applications per 1,000 flagged for suspected fraud between July 2025 and June 2026. That equates to roughly 4.1% of all applications carrying some element of falsified information, whether inflated income, fabricated employment references, doctored bank statements or concealed rental history.

For an industry that has spent the past three years absorbing higher mortgage costs, tighter regulation under the Renters' Rights Act, and rising compliance burdens, this figure lands at a particularly sensitive moment. Landlords operating on thin margins in cities such as Manchester, Birmingham and Leeds — where yields have compressed even as rents have climbed — are least able to absorb the cost of a fraudulent tenancy that ends in unpaid rent, void periods or a lengthy, expensive eviction process. A single bad placement can wipe out a year's net income on a modestly geared buy-to-let property, particularly where court backlogs mean regaining possession can take four to six months even under the most straightforward circumstances.

The scale of the £4.1bn figure becomes more striking when set against the size of the sector itself. England alone has around 4.6 million privately rented households, and with reference checks now standard practice for the vast majority of new tenancies, a 4.1% fraud-flag rate implies hundreds of thousands of suspect applications moving through the system annually. Not every flagged application results in a loss — many are caught before signature — but the direct-loss estimate suggests the checks that do fail, or applications that slip through smaller agencies without robust screening, are proving costly at scale. London and the South East, where rents are highest and competition for units is fiercest, are likely disproportionately exposed, since desperate applicants have the greatest financial incentive to misrepresent their circumstances to secure a tenancy against multiple competing bids.

This data also arrives against a backdrop of structural change in how tenancies are agreed. The abolition of Section 21 and the wider tenant protections embedded in the Renters' Rights Act mean landlords have less ability to remove a tenant quickly once fraud is discovered, raising the stakes of getting referencing right at the outset. Where landlords could once treat a problematic tenancy as a short-term inconvenience resolved through a no-fault notice, the new legal architecture makes front-loaded due diligence far more valuable — and the cost of failing to do it far higher. Agents in Newcastle, Liverpool and other high-demand regional cities, where void periods are typically shorter and competition for tenancies more intense, should expect fraud attempts to rise further as rental affordability pressures persist.

For institutional and build-to-rent investors, the implications are somewhat different but no less significant. Large-scale operators in Manchester, Birmingham and London already tend to use automated, data-driven referencing platforms with open banking verification, which should limit their exposure relative to smaller private landlords relying on manual checks or basic credit searches. This divergence is likely to accelerate a two-tier market: professionalised portfolios and BTR schemes with sophisticated fraud detection pulling further ahead on net yields, while smaller, amateur landlords — already exiting the sector at pace amid tax and regulatory pressure — face yet another reason to sell up. Surrey and other higher-value commuter markets, where tenant profiles skew towards higher earners, may see proportionally lower fraud rates, but the financial exposure per incident is greater given elevated rents and deposit values.

Looking ahead 6 to 12 months, expect referencing to become a genuine differentiator in the letting process rather than a compliance afterthought. Insurers offering rent guarantee products are likely to tighten underwriting criteria and premiums in response to this data, while agents who can demonstrate robust, technology-led verification will increasingly market this as a value-add to landlord clients. Policymakers, already engaged in reforming the rental sector, may face renewed pressure to standardise referencing requirements or introduce accreditation schemes, particularly if fraud losses continue climbing alongside rents. First-time landlords entering the market through smaller portfolios should treat this data as a clear signal to budget for professional referencing services rather than cutting corners to save a few hundred pounds — a false economy when the downside runs into thousands.

The clearest conclusion from this research is that tenancy fraud has moved from a peripheral nuisance to a material line item in rental sector economics, comparable in scale to other systemic costs landlords must now plan around, such as voids or compliance spend. Investors and agents who treat referencing as a genuine risk-management function — not a box-ticking exercise — will be better placed to protect yields as the sector continues its shift towards professionalisation. Those who do not risk becoming the disproportionate bearers of a £4.1bn problem that increasingly has both the data and the tools available to be managed down.