The paradox
India is still adding first-time borrowers. CRIF High Mark counted 4.4 crore borrowers classified as NTC in its consumer-bureau data in the twelve months ending February 2026, up from 3.6 crore four years earlier.
Over exactly the same period, their share among borrowers originating loans fell from 23.5% to 17.8%. Both statements are true. Read without the denominator, the falling share can look like fewer newcomers are entering. The absolute count says otherwise.
CRIF High Mark, Bridging the Gap: Unlocking Growth from New-to-Credit Borrowers, April 2026 publication; February 2026 data, Figures 1–2.
CRIF attributes the moderation to a more calibrated lender approach. NIRNITI treats that as a plausible source interpretation rather than a decomposition of the ratio.
TransUnion CIBIL separately reports that consumption-led NTC originations fell 21% YoY versus 2% for existing-to-credit borrowers in the quarter ending December 2024, and attributes the disproportionate NTC impact to cautious lender origination behaviour. That is period-specific supply evidence; it does not decompose the longer-run movement in aggregate NTC share.
What a ratio can hide
NTC share is a fraction. When the number of first-time entrants rises but the share falls, the arithmetic has one unavoidable implication: the rest of the originating borrower base grew faster. In this case, materially faster.
The arithmetic is consistent with denominator maturation: a larger stock of experienced borrowers can pull the NTC share down even while first-time entrants grow. That does not, by itself, establish whether access for newcomers has weakened or improved.
Denominator maturation is one of five mechanisms that can sit behind the same falling number. The headline percentage cannot tell management which one is operating — and the five are separated, with their evidence boundaries, in the full note.
The sharper finding
The commercial side is where the measurement problem becomes concrete. In TransUnion CIBIL's April 2025 to March 2026 origination analysis, three-quarters of new-to-credit entity borrowers in the ₹2 lakh to ₹2 crore segment already had prior retail credit experience.
They were new to borrowing as an entity. Most were not new to formal credit. The classification is correct — the enterprise genuinely is taking its first credit product as an entity. An NTC entity borrower with prior retail credit experience is not economically identical to a borrower with no relevant prior bureau history.
NIRNITI's reading: NTC correctly identifies both as new at entity level. A credit process should still distinguish between them, because the acquisition economics, the available information and the portfolio implications differ.
New to what?
Once you ask which population a number describes, the question stops being whether new-to-credit is rising or falling. A consumer can be new to a product without being new to formal credit. An entity can be new to credit while the underlying borrower already has prior retail credit experience. The same report can carry several NTC series that do not answer the same question.
A second definition check makes the same point. Unlocking Access defines its retail “credit-eligible” population as adults aged 18–60 and reports 89 crore in March 2026. CIBIL's March-2025 CMI release uses the same label for an 18–80 population of about 103.6 crore in December 2024. The dates and age universes differ, so the two figures are not one comparable time series.
Product progression is also directly observable within defined cohorts. CIBIL reports that one in three consumers who opened their first-ever credit product in FY2022-23 took a second product within the subsequent 12 months; 44% of those second-product borrowers stayed with the same lender. That establishes progression, not the contribution of progression to aggregate NTC-share decline.
That is the argument of Research Note #01, and the note carries it through seven exhibits to a management framework a lender can apply directly.
Get the full Research Note
For the complete analysis, seven exhibits and the lender management framework — including the seven borrower situations one headline ratio cannot separate.
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