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in depth.
Reuse company analysis across holdings, watchlists and research groups—without maintaining a separate pipeline for each.
Retained product examples · Dated research outputs
Privi Speciality Chemicals
21 Oct 2026 · Specialty chemicals
Beneish M-score
-2.88Model threshold: -2.22
Below the model thresholdSloan accrual ratio
5.4%Sector-adjusted · Raw: 6.4%
Accruals warrant reviewOne reassuring check does not clear the whole company.
- Weak valuationhigh
- Low quick ratiohigh
- Accrual-quality concernmedium
Recorded model outputs · Flags prompt investigation, not conclusions
How to read this view
The Beneish result sits below its recorded threshold. It does not establish the absence of manipulation. The separate Sloan check raised an accrual-quality concern.
The stored sector adjustment changes the accrual ratio from 6.4% to 5.4%. The flags retain their recorded severity; three selected flags are shown here.
Read these findings alongside the statements and reporting periods. This is a retained analysis dated 21 Oct 2026, not a fresh assessment or an independently reproduced original run.
What we have built
Depth across the research process.
Usable today: company analysis, screens, watchlists and fund views. Access arranged with the founder.
Shown in walkthroughs: internal research lenses, historical diagnostics and the Evidence Engine.
Planned: self-service strategy building and repeated client evaluations.
Company intelligence
What drives the company?
- Eight analyzers + master layer
- Sector rules · Peer comparison
Risk & accounting
Where does the story need checking?
- Risk patterns · Forensic analysis
- Piotroski · Altman · Beneish · Sloan
Discovery & context
What deserves a closer look?
- Screens · Market context
- Opportunity lenses · Business positioning
Funds & cohorts
What sits inside the selection?
- Fund X-ray · Watchlists · Overlap
- Grade mix · Model baskets
History & evidence
What changed—and what held up?
- Recorded changes · Historical Intelligence
- Validation Lab · Claims and review history
Shared infrastructure
What can your team reuse?
- Shared data · Dated observations
- Identity & corporate-action handling
How it connects
One company. A wider research question.
The same analytical outputs support company investigation, cohort context and internal evidence review.
- Shared inputsFinancials · Prices · Holdings
- Analytical layerEight analyzers · Sector rules
- Research viewsCompanies · Funds · Cohorts
- History & evidenceObservations · Checks · Findings
See what the research changed
The Evidence Engine in practice.
Inspect what the review changed and what still needs testing.
Grade A basket · Verdict corrected 12 Jul 2026 (UTC)
An apparent advantage. An unsupported conclusion.
- What review found
- Different basket and benchmark weights left the source of the apparent advantage unresolved.
- Verdict correction
- PASS → INSUFFICIENT
The original supporting evidence could not be recovered. - Research action
- Require a weight-matched comparison and traceable evidence before attributing the advantage to the grades.
Retained correction story · No performance claim
Inspect the review and recorded correction
What is retained: The claim and its review history. The original supporting evidence needed to reproduce the reported result remains missing.
Verdict corrected 12 Jul 2026 (UTC): PASS → INSUFFICIENT. Access remained admin-only. This was a reviewed correction, not an automatic promotion or a completed matched-comparison result.
Recorded limits: The original supporting evidence could not be located. Later rebuilt history does not establish how the original result was computed. Different weighting methods prevent attributing the apparent advantage to the grades.
Wording reviewed 14 Jul 2026 (UTC): The claim remained admin-only, pending a weight-matched comparison.
Permitted wording: The Grade A basket is an admin-only monitoring sleeve pending weight-matched validation.
Unsupported conclusion: “Equal-weight Grade A basket outperformance proves grade skill.”
Registry record: grade_a_model_basket_support. This dated excerpt preserves the review; it does not claim a new evaluation.
Why use our infrastructure
Keep the research edge.
Share the maintenance work.
Reuse company analysis, sector rules, cohort calculations and recorded history—without maintaining each layer yourself.
Your team owns
The investment universe, research questions, thesis and judgment.
EquityScore maintains
Sector rules, reporting-period checks and dated research records.
The work continues
Revised prices, company identity changes and corporate actions need ongoing upkeep.
For a closer look
The full capability directory.
All 46 entries · Search tools, methods and scope
For a closer look
The full capability directory.
All 46 entries · Search tools, methods and scope
Company intelligence
Inspect the business through connected analytical lenses, with the sector and the inputs in view.
Master analysisEight specialist analyzers brought into one company assessment.Built
- Methods and components
- Fundamental, competitive, forensic, quarterly trend, capital allocation, technical, risk and data quality analysis.
- How it helps
- Read component drivers and conflicting evidence together instead of assembling separate outputs.
- Scope
- The master layer coordinates analysis. A grade is a classification, not a return forecast.
FundamentalsValuation, profitability, growth and financial health in context.Built
- Methods and components
- Valuation ratios, margins, efficiency, leverage, cash-flow analysis, Piotroski and Altman calculations.
- How it helps
- Identify which financial drivers deserve closer investigation.
- Scope
- A check depends on available inputs and whether it applies to the company’s sector.
Peer comparisonRelative ranks, percentiles and company positioning within a peer set.Built
- Methods and components
- Peer statistics, relative ranks, size grouping and competitive interpretation.
- How it helps
- Separate a company-specific issue from a pattern shared by its peers.
- Scope
- The chosen peer universe and its coverage affect the comparison.
Quarterly trendsFollow revenue, profit and margin trajectories across reporting periods.Built
- Methods and components
- Growth, seasonality, volatility, reversals and trend direction across available quarterly observations.
- How it helps
- Investigate whether a recent result continues or breaks an established pattern.
- Scope
- Quarterly earnings do not establish quarterly cash conversion when matching cash-flow data is absent.
Capital allocationExamine capital efficiency and how the business uses its resources.Built
- Methods and components
- ROIC and cost-of-capital context, working capital, acquisition proxies and shareholder returns.
- How it helps
- Look beyond reported growth to the capital required to produce it.
- Scope
- Some measures use proxies or incomplete histories; financial-sector applicability is restricted.
Technical contextPrice, volume, levels and technical patterns alongside company research.Built
- Methods and components
- Price and volume indicators, support/resistance routines and chart-pattern detection.
- How it helps
- Inspect market behaviour alongside the financial picture.
- Scope
- Detected patterns are contextual observations, not validated trading signals.
Sector-aware rulesChecks and thresholds adapt to the business being analysed.Built
- Methods and components
- Sector configurations, applicability rules and method-specific overrides.
- How it helps
- Avoid treating a financial business and an industrial business as though the same checks always apply.
- Scope
- Sector-aware configuration does not imply complete specialist coverage of every industry.
What the availability labels mean
Built: implemented analytical or infrastructure capability; access and data coverage vary by tool.
Internal research: research, admin or backend tools shown in a founder walkthrough; not yet available in client accounts.
In development: working foundations exist, with parts of the broader capability still incomplete.
See the platform with the founder
Bring a company. Or your investment universe.
Walk through the research, its limits and how your team could use the foundation.
Or email contact@equityscore.in
Research infrastructure, not investment advice. Grades classify; they do not forecast returns.