Moneyview annualised losses fell to 6.95% as industry rose

Moneyview reduced annualised loan losses to 6.95% in Fiscal 2026 from 7.93% in Fiscal 2024, while the industry measure for unsecured personal loans rose to 8.29% from 7.80%. Moneyview attributes the decline to data-led borrower segmentation, revised risk parameters and collection processes during higher industry delinquencies.

Why did Moneyview annualised losses fall to 6.95%?

Moneyview says annualised loan losses fell after it refined underwriting models, assessment thresholds and risk parameters as borrower affordability weakened during Fiscal 2025. The platform's annualised loss rate declined by 0.98 percentage points, from 7.93% in Fiscal 2024 to 6.95% in Fiscal 2026, after recording 7.07% in Fiscal 2025. The industry rate for unsecured personal loans from banks and non-banking financial companies, or NBFCs, rose from 7.80% in Fiscal 2024 to 9.35% in Fiscal 2025 before declining to 8.29% in Fiscal 2026.

Annualised losses are calculated differently from the total value of overdue loans. For loans facilitated by Moneyview, the measure is loans transitioning into 90 or more days past due, or 90+ DPD, plus write-offs during a period or year, divided by average assets under management, or AUM. The industry calculation uses the same mechanism for unsecured personal loans from banks and NBFCs, although Moneyview's platform portfolio and the industry series cover different lending populations.

Moneyview's reported position against the industry changed from 0.13 percentage points above the industry rate in Fiscal 2024 to 1.34 percentage points below it in Fiscal 2026. The Fiscal 2026 industry rate remained 0.49 percentage points above Fiscal 2024, while Moneyview's rate was 0.98 percentage points lower. This gap can persist only if Moneyview's risk detection continues to identify borrowers likely to enter the 90+ DPD bucket or require write-offs before those events occur.

How does Moneyview separate risk within similar bureau-score borrowers?

Moneyview uses more than 100,000 data variables and more than 3,000 user segmentations to assess borrowers beyond a credit-bureau score. Inputs include information supplied by users, consented device data, transactional short message service, or SMS, data, bank statements, app usage, repayment and auto-debit history, and bureau data. The company also disclosed more than 15 contextual machine-learning, or ML, models as of June 30, 2026, which it says are tested continuously against new features before risk-based loan offers are generated.

Moneyview's example for long-tenure personal loans shows a material variation inside one bureau-score band of 725 to 750. Risk Score 1 had relative risk performance of 33%, compared with 257% for Risk Score 5, while Risk Score 3 represents the average risk level. The measure is based on loans more than 30 days past their contractual due date at the end of six months from the origination month, producing a 224-percentage-point spread and the company's stated difference of up to roughly seven times.

Moneyview linked this segmentation to loan size and duration. Risk Score 1 borrowers had an average ticket size of Rs 1.7799 lakh and a 35-month average tenure, compared with Rs 72,489 and 21 months for Risk Score 5 borrowers. The disclosed mechanism is lower loan sizes and shorter tenures for higher-risk segments, while lower-risk segments can receive larger and longer loans; the reported loss outcome therefore depends on the score remaining predictive as borrower behaviour changes.

What loan mix did Moneyview manage at June 30, 2026?

Moneyview's managed book was concentrated in long-tenure personal loans, which accounted for 71.72% of Managed AUM at June 30, 2026. These loans are offered to users with consistent repayment histories and stable cash flows under Moneyview's assessment, with an average ticket size of about Rs 96,000 and an average tenure of 23 months. The concentration makes this category's repayment performance important to the platform-wide annualised-loss rate.

Moneyview's Low & Grow Personal Loans serve users with limited or evolving credit histories, where long-term repayment confidence is lower. The product had an average ticket size of Rs 20,000 and an average tenure of eight months as of June 30, 2026. Moneyview says these loans can build repayment history and enable users to graduate to longer-tenure, higher-ticket offerings, but it does not disclose graduation rates or loss rates by loan category.

Repeat AUM rose as a share of Moneyview's portfolio. Repeat AUM, defined as principal outstanding from a borrower's second and subsequent loans divided by Managed AUM, increased from 42.08% in Fiscal 2024 to 60.86% in Fiscal 2026 and 62.70% at June 30, 2026. Managed AUM was Rs 22,520.165 crore at June 30, 2026, compared with Rs 21,380.137 crore at March 31, 2026 and Rs 17,707.839 crore at June 30, 2025; a larger repeat-loan share gives the platform more repayment history, but its impact on losses depends on repeat borrowers continuing to repay.

What collection indicators support Moneyview's credit-quality claim?

Moneyview's early-stage collection indicators improved between March 31, 2024 and June 30, 2026. Bounce percentage declined to 6.36% from 7.92%, while the collection roll rate declined to 1.39% from 2.23%. Moneyview says its artificial-intelligence-led collection system uses payment intent, likelihood of default and behavioural signals to guide reminders, in-house tele-calling, agency allocation and field visits.

Bounce percentage means the scheduled amount outstanding from borrowers who were zero DPD at the start of a month that remained unpaid two days after the contractual due date. Collection roll rate is the corresponding scheduled amount that remained uncollected at the end of the month. At June 30, 2026, the 6.36% bounce rate was also below 6.37% at March 31, 2025 and 7.53% at June 30, 2025, while the 1.39% roll rate was below 1.41% and 1.92%, respectively.

These measures capture an earlier collection stage than annualised losses, which include only 90+ DPD transitions and write-offs. They can indicate whether payment stress is being addressed before it reaches late delinquency, but they do not establish future loss outcomes. Moneyview processes more than 200,000 loan applications daily, generates offers typically within five seconds, and completes about 90% of disbursals within minutes of acceptance, so controls must work consistently at that operating scale.

Conclusion

Moneyview's Fiscal 2026 annualised loss rate of 6.95% was below both its 7.93% Fiscal 2024 rate and the 8.29% industry rate, even though the industry remained above its Fiscal 2024 level. The disclosed evidence connects the divergence with granular segmentation, risk-based ticket sizes and tenures, and collection measures that improved between March 31, 2024 and June 30, 2026.

The next indicators to watch are Moneyview's disclosed 90+ DPD and write-off-based annualised-loss calculation, alongside bounce and collection roll rates as Managed AUM changes from Rs 22,520.165 crore reported at June 30, 2026. Moneyview says it continuously tests ML models against new features and adjusts assessment thresholds and risk parameters; whether those updates retain predictive value as affordability conditions evolve remains unresolved.