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Financial health, explained — not just scored

Z-Score with real trend history, sector peer benchmarking, and AI-surfaced risk signals from a company's own filed narrative — every flag traceable back to its source.

Altman
Z-Score model
Sector
Peer benchmarking
Cited
Every risk flag
1

Z-Score & trend

Altman Z-Score calculated from filed data, plotted across every historical filing.

2

Sector benchmarking

Compared against the sector median so a score has real context, not an isolated number.

3

Cited risk flags

Going concern, litigation, and contingent liability signals, each linked to the filing that mentions it.

What's included in every risk profile

Z-Score trend chart

Not a single snapshot — see whether financial health is improving or deteriorating filing over filing.

Peer benchmarking

Z-Score and liquidity ratio compared to the sector median, with a clear above/below-average read.

Payment delay index

How consistently a company files on time — a real proxy for how it treats other obligations.

Litigation & judgments flag

Any legal proceedings or disputes disclosed in the accounts, with amounts where mentioned.

Going concern flag

Whether the company is stated as a going concern, and any material uncertainties disclosed.

Contingent liabilities

Guarantees, indemnities, and contingent obligations disclosed, with amounts where available.

Real applications

Lending Decision

Assessing counterparty risk before extending terms

A lender reviewing a loan application checks Z-Score trend, sector benchmarking, and risk flags together — a materially fuller picture than a single credit score, with every claim traceable to its source.

A defensible, source-grounded lending decision.
Trade Credit

Setting a credit limit for a new customer

A credit controller uses peer benchmarking to see whether a new customer's financial position is genuinely strong for its sector, or just looks fine in isolation — informing a properly calibrated credit limit.

A credit decision grounded in sector context, not a bare number.
Insurance Underwriting

Pricing commercial risk with more than a headline score

An underwriter assessing a commercial policy reviews going-concern and litigation flags alongside the Z-Score trend, catching risk signals a bare credit score alone wouldn't surface, and pricing the policy accordingly.

Risk pricing informed by disclosed facts, not a single composite number.
CapabilityPopulous Credit IntelligenceGeneric credit score service
Z-Score trend history, not just current valueYesOften single snapshot
Sector peer benchmarkingYesRarely included
Risk flags cited to source filingYesScore with no explanation
Data freshnessDailyVaries
How is the Z-Score calculated?

Using the Altman Z-Score model applied to the company's filed financial data, with a confidence percentage reflecting how complete the underlying data is.

What does peer benchmarking compare against?

A company's Z-Score and liquidity ratio are compared against the median for its sector, based on companies sharing the same SIC classification.

Are the risk flags automated or manually reviewed?

Risk flags are generated by grounded AI analysis of the company's own filed narrative, each with a source citation — not manually reviewed, but always traceable and verifiable.

Can I see how Z-Score has changed over time, not just the current value?

Yes — the Z-Score Trend chart plots the score across every historical filing, showing whether financial health is improving or deteriorating.

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