KLARNA Moves into Conventional Lending and Makes Provisions for Higher Defaults – Reports Loss
Are FinTechs “destined” to lose money when entering conventional lending? Short answer: Not always — but very often, yes. An observation which aligns with a repeated pattern across the past 10–15 years.
In the case of Klarna Losses Are Not a Failure — They Are the Price of Becoming a Real Lender
Once again, a FinTech’s expanding losses have triggered commentary about the “inevitable downfall” of digital lenders. But this time, the narrative appears to be wrong. Klarna’s recent results do not reflect deteriorating underwriting, rising defaults, or a broken business model. They reflect something far more structural — and far more predictable: the accounting realities of moving from short-term BNPL into conventional, longer-term lending under IFRS 9.
For more than a decade, Klarna thrived on a fast-cycling BNPL model: short-duration receivables, rapid cash conversion, and low provisioning requirements. Today, however, Klarna is aggressively expanding into instalment loans and regulated financing products. Under IFRS 9, this shift dramatically changes how profitability is measured. Lenders must book expected credit-loss provisions upfront the moment a loan is originated — while revenue is recognized gradually over the life of the loan. When long-term loan volume grows quickly, provisions also jump quickly, producing a temporary profitability lag. This is exactly what is happening at Klarna.
The numbers confirm it. Klarna’s U.S. gross merchandise volume for longer-term lending grew 244% year-over-year in Q3 2025, triggering substantial upfront provisioning. But realized credit losses — the actual write-offs of uncollectible loans — reached their lowest level ever at 0.44% of GMV. In other words: Klarna is losing money today because accounting rules require pessimism upfront, while the loan revenue will arrive over time. This is not a credit problem. It is a timing problem.
Yet the industry should not dismiss the strategic challenge. The moment a FinTech enters long-cycle credit, it inherits the economics of banking. And the history of FinTech is full of reminders that this step is difficult to execute.
Affirm saw losses spike when interest rates rose and its cost of capital surged.
Upstart struggled when its AI-driven models failed to generalize across a changing 
macroenvironment; banks withdrew as funding partners, forcing Upstart to hold more loans on its own balance sheet.
LendingClub suffered a collapse in investor confidence, governance failures, and losses when it tried to become a hybrid lender/marketplace bank.
None of these companies were “frauds.” They were victims of the same structural reality: lending is capital-intensive, cyclical, and unforgiving. When a FinTech expands too quickly into long-term credit, the shift from asset-light software economics to bank-like balance-sheet economics can overwhelm even well-run firms.
That is why Klarna’s current results deserve a more sophisticated reading. Klarna is not spiraling. Klarna is transforming — and like every transformation into regulated lending, it is expensive before it is profitable. The firm’s declining realized losses and improved underwriting suggest a disciplined approach. The question is not whether Klarna is failing; the question is whether it can manage the capital, provisioning, and revenue-timing dynamics that define traditional consumer lending.
The lesson is bigger than Klarna. For every FinTech that attempts this transition, the road is the same: technology can accelerate underwriting, improve user experience, and reduce operating friction — but it cannot rewrite the fundamental laws of credit risk and accounting. If Klarna manages this shift, it will become one of the very few FinTechs to expand into conventional lending without suffering the same fate as Affirm, Upstart, or LendingClub. If it fails, it will join a long list of digital lenders that underestimated the weight of the banking world.
Klarna’s losses are not a crisis. They are the cost of maturity. Let’s see how it works out.
Source: Klarna financial results. Intrepid Explorers, LLC. research supported by ChatGPT