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Public quantitative methodology

The score is only useful if the formula stays visible.

CredoNomics uses a fixed statistical model with explicit weights. No hidden analyst override changes the result, and missing inputs reduce visible data coverage.

Source first

Normalize from the current DRHP/RHP/prospectus and relevant exchange/registrar documents. Discovery records alone are never scored.

Statistical fields

The model uses financial growth, return ratios, cash conversion, leverage, peer-relative valuation and issue structure.

Coverage threshold

No public score is produced when less than 50 weighted points of the framework have valid normalized data.

100-point framework

Fixed weights used by the IPO Data Score.

12Revenue CAGRMechanical multi-period revenue growth.
12PAT CAGRMechanical multi-period positive PAT growth.
10ROELatest normalized return on equity.
10ROCELatest normalized return on capital employed.
12CFO / PATCash conversion relative to accounting profit.
10Debt / EquityLower leverage scores higher mechanically.
14P/E vs peer medianUpper-band IPO P/E relative to normalized listed peers.
6P/B vs peer medianUpper-band IPO P/B relative to normalized listed peers.
7Fresh-issue shareFresh capital as a percentage of total issue size.
4OFS shareLower OFS share scores higher mechanically.
3Top-customer concentrationLower disclosed revenue concentration scores higher.
Important boundary

A high Data Score is not “Subscribe.” A low score is not “Avoid.”

The score is a mechanical statistical comparison of normalized inputs. It does not estimate listing gains, future share returns, allotment probability or suitability for a particular investor.

What stays outside the score

Signals that should not be mixed into fundamental data quality.

Grey Market Premium

GMP is unofficial and is not included in the fundamental Data Score.

Subscription multiples

Subscription data can be displayed separately, but does not change the core financial Data Score.

Listing-gain forecasts

No predicted listing price or return is generated by the scoring framework.

Subscribe / Avoid calls

CredoNomics does not convert the statistical score into a public-offer recommendation.

CredoNomics is not SEBI-registered and is not NISM-certified. This methodology is designed for general educational/statistical comparison. Seek appropriately registered professional advice where a securities recommendation or personalized advice is required.