Scan two complementary strength signals
Review an Altman Z-Score for balance-sheet distress context and a Piotroski Score for recent financial-strength signals in the same company snapshot.
Finance Agent capability
See the Signals Behind a Company’s Financial Health
Pineify Finance Agent brings financial-strength signals into one company research view, pairing Altman Z-Score and Piotroski Score with the revenue, EBIT, assets, liabilities, working capital, retained earnings, and market value that help explain the context. Use the result to triage diligence, compare companies on a consistent basis, and decide which statements and assumptions deserve a closer read—not to turn a screening signal into a forecast or a buy-or-sell decision.
Opens Finance Agent with an Apple financial-health score question ready to send.
Finance Agent in actionAI Financial Health Scores
A screening view with context
Connect financial-strength signals to the figures behind them
Finance Agent retrieves one supplied score snapshot per ticker, rather than calculating the scores from your assumptions. It shows Altman Z-Score, Piotroski Score, and selected financial figures. Those figures do not include all the component tests and prior-period inputs needed to reproduce a Piotroski score.
These are screening lenses, not universal definitions of quality or safety. Inputs, thresholds, reporting dates, industry context, and formula choices affect the result. Treat the page as a research map: identify what stands out, then trace the figures to current filings and notes.
Use cases
Ways to use financial health scores
Connect scores to operating and balance-sheet evidence
See revenue, EBIT, assets, liabilities, working capital, retained earnings, and market value alongside the scores so you can ask what is supporting—or weakening—the signal.
Prioritize comparisons and follow-up research
Use a consistent first pass across companies, flag unusual results, and focus your next statement, filing, or peer-comparison review where the signals and underlying figures disagree.
Prompt examples
Financial-health questions you can ask Finance Agent
“Review Apple’s financial health scores and show the Altman Z-Score and Piotroski Score with the supporting revenue, EBIT, assets, liabilities, working capital, retained earnings, market value, and currency. Identify missing measurement dates and the figures I should verify in filings.”“Compare Microsoft’s financial-strength signals with its latest available company figures. Separate what the scores suggest from what they cannot tell me, and list the balance-sheet and profitability changes that deserve follow-up.”“Use NVIDIA’s financial health scores as a screening starting point. Identify the strongest and weakest supporting metrics, note any timing or industry-context caveats, and suggest the next diligence questions without making an investment recommendation.”
FAQ
Questions about financial health scores
They combine selected financial inputs into screening signals. The Altman Z-Score is commonly used for balance-sheet distress context, while the Piotroski Score summarizes several recent profitability, leverage, liquidity, and operating-strength signals.
They answer different screening questions and use different inputs and conventions. One is associated with distress-risk context and the other with changes in financial strength, so reading them together is more informative than treating either as a complete company assessment.
It shows the two supplied scores with revenue, EBIT, assets, liabilities, working capital, retained earnings, market capitalization, and reporting currency when available. It does not supply measurement dates or the individual pass/fail components behind the Piotroski score.
You can use them for an initial comparison after aligning reporting dates, business models, industries, currencies, units, market-data timing, and formula conventions. Similar labels do not guarantee comparable inputs.
The calculation may respond to changes in working capital, leverage, profitability, retained earnings, assets, shares, market value, seasonality, one-time items, or restatements that are not obvious from a single headline figure.
No. Market capitalization is one of the supplied inputs, but these scores are not a full valuation or investment assessment. Verify the model, inputs, business context, and risks before using a screening label in a decision.
Turn score signals into a sharper diligence plan
Start with the signals and supporting figures, then confirm the model inputs, dates, definitions, and company context before relying on a comparison.
Open Finance AgentFor informational and research use only. No output is investment advice or a guarantee of future performance.