PrasuNovaAnalytics
DashboardsLoan journeyModel layerHow we countFor agenciesServices
as of 2026-08-31Contact
Synthetic data.An illustrative NBFC book, April 2021 to August 2026. Not any real lender's data. About the dataData as of 2026-08-31

Method

How we count

Every figure on this site comes from one of the definitions below. Where the Reserve Bank prescribes the answer we cite the paragraph; where it does not, we say plainly that the choice is ours and what we chose.

This is the part we publish. The queries and the calculation code stay on our side, but a definition you cannot inspect is a number you cannot trust — so the definitions are here in full, including the ones where reasonable people report differently.

13 of 30 tied to an IRACP 2025 paragraph17 toggleable on the dashboards

Where one name has several answers

These are the metrics where two honest lenders report different numbers for the same book. Every one of them is toggleable on the dashboards, so you can watch your figure move.

gnpa

3 answers
  • GNPA by valueRBI

    Share of the book classified non-performing.

  • GNPA by numberRBI

    Share of accounts classified non-performing.

  • GNPA borrower-wiseRBI

    GNPA where one bad loan makes all that borrower's loans non-performing.

ce

5 answers
  • Collection efficiency (current month)

    Of what fell due this month how much was collected this month.

  • Collection efficiency (gross)

    All cash collected this month against what fell due this month.

  • Collection efficiency (demand plus arrears)

    All cash collected against this month's dues plus arrears carried in.

  • Collection efficiency (including recoveries)

    Gross collections plus recoveries on written-off loans.

  • Billing efficiency

    Of the instalments due how many were paid in full.

par

3 answers
  • PAR 30+

    Share of the book owed by borrowers more than 30 days late.

  • PAR 60+

    Share of the book owed by borrowers more than 60 days late.

  • PAR 90+

    Share of the book owed by borrowers more than 90 days late.

sma

2 answers
  • SMA-1RBI

    Accounts 31 to 60 days late but not yet non-performing.

  • SMA-2RBI

    Accounts 61 to 90 days late but not yet non-performing.

asset class

3 answers
  • Sub-standardRBI

    Non-performing for up to twelve months or restructured within the last year.

  • DoubtfulRBI

    Non-performing for more than twelve months.

  • LossRBI

    Identified as unrecoverable but still on the books.

dpd

1 answers
  • Days past due (day-0 counting)

    The same delinquency counted from the day after the due date.

Every metric

The full register, read from the same file the summary layer is written against — so this page cannot drift from what the site actually computes.

MetricWhat it meansBasisReference
Principal outstanding
Sum of closing principal across live accounts.
What borrowers still owe in principal on live loans.DerivedEngine C-DV-04 movement identity
Disbursals
Sum of amounts disbursed in the month.
Principal lent in the month.Derived—
Live accounts
Count of accounts.
Number of loan accounts with principal still outstanding.Derived—
PAR 30+
Principal of accounts over 30 DPD divided by principal outstanding.
Share of the book owed by borrowers more than 30 days late.Our choiceIndustry convention; not an RBI term
PAR 60+
Principal over 60 DPD divided by principal outstanding.
Share of the book owed by borrowers more than 60 days late.Our choiceIndustry convention
PAR 90+
Principal over 90 DPD divided by principal outstanding.
Share of the book owed by borrowers more than 90 days late.Our choiceIndustry convention. Close to GNPA but not identical: PAR counts days late; GNPA counts classification
GNPA by value
Principal of non-standard accounts divided by principal outstanding.
Share of the book classified non-performing.RBIIRACP 2025 paras 19 and 21
GNPA by number
Non-standard accounts divided by live accounts. Usually higher than GNPA by value because bad loans are smaller.
Share of accounts classified non-performing.RBIIRACP 2025 paras 19 and 21
GNPA borrower-wise
Borrower-wise classification rather than facility-wise.
GNPA where one bad loan makes all that borrower's loans non-performing.RBIIRACP 2025 para 23: borrower-wise and not facility-wise
NNPA
Non-performing principal less provision held divided by principal outstanding less provision held.
GNPA after subtracting the provision already held against it.RBIIRACP 2025 para 32
Provision coverage
Provision divided by non-performing principal.
Provision held as a share of the non-performing book.RBIIRACP 2025 para 32
Days past due
Counted from the due date itself as day one.
Days since the oldest unpaid instalment fell due.RBIIRACP 2025 para 11(2) and Illustration I: SMA-1 at 30 Apr, SMA-2 at 30 May, NPA at 29 Jun
Days past due (day-0 counting)
One day fewer than day-1 counting. Shown only to size the gap against systems that count this way.
The same delinquency counted from the day after the due date.Our choiceNot RBI. Shown because some systems report it
Collection efficiency (current month)
Collections against this month's instalments divided by this month's demand.
Of what fell due this month how much was collected this month.Our choiceNo single RBI definition. The strictest of the five
Collection efficiency (gross)
Total collections divided by current demand. Can exceed 100% when arrears are recovered.
All cash collected this month against what fell due this month.Our choiceMost commonly quoted. The reason a CE figure can pass 100%
Collection efficiency (demand plus arrears)
Total collections divided by current demand plus opening arrears. The most conservative denominator.
All cash collected against this month's dues plus arrears carried in.Our choice—
Collection efficiency (including recoveries)
Adds post-write-off recovery to the numerator. Answers to no demand so it inflates the ratio.
Gross collections plus recoveries on written-off loans.Our choice—
Billing efficiency
Counted on instalments rather than money so a part payment does not count.
Of the instalments due how many were paid in full.Our choice—
Demand
Excludes schedule rows superseded by a restructure, and instalments falling due after the loan closed.
Instalments that fell due in the month and were actually owed.DerivedCounting every schedule row overstates demand by about 5 points of CE
Interest accrued
Sum of interest on instalments falling due in the month.
Interest charged for the month on the contract.Derived—
Interest recognised
Accrual while performing; cash basis once non-performing.
Interest taken to income. On a non-performing loan only what was actually received.RBIIRACP 2025 para 38: income on an NPA is recognised only on realisation
Interest reversed
Reversed in the month the loan becomes non-performing.
Income previously recognised but unrealised reversed when a loan turns non-performing.RBIIRACP 2025 para 38
Yield
Interest recognised divided by average of opening and closing principal.
Interest recognised as a share of average principal outstanding.DerivedDiffers from the contracted rate because of para 38 reversals
Write-offs
Sum of amounts written off in the month.
Principal removed from the book as unrecoverable.Our choiceRBI mandates provisioning; write-off timing is board policy
Post-write-off recovery
Recoveries divided by cumulative write-offs.
Cash recovered on loans already written off as a share of what was written off.Derived—
SMA-1
Pre-NPA warning stage. An account already non-performing carries no SMA label.
Accounts 31 to 60 days late but not yet non-performing.RBIIRACP 2025 para 19
SMA-2
Accounts 61 to 90 days late but not yet non-performing.RBIIRACP 2025 para 19
Sub-standard
Non-performing for up to twelve months or restructured within the last year.RBIIRACP 2025 para 52: 52(2) makes a restructured asset sub-standard until a year of satisfactory performance
Doubtful
Non-performing for more than twelve months.RBIIRACP 2025 para 53
Loss
Provided for in full.
Identified as unrecoverable but still on the books.RBIIRACP 2025 paras 21 and 32

How the book itself is checked

The figures on this site are computed by an engine that is tested rather than trusted. Every rule it applies is a row in a register with its source and status, not a number buried in code. The engine is covered by a suite of hand-worked cases, and — more usefully — by a harness that deliberately plants known errors and confirms the tests catch every one. A test suite that passes proves very little; one that provably fails when the code is wrong proves something.

The same discipline produces the findings we hand a client: where two of your own reports disagree, we can show which definition each is on, and what the number becomes under the other.