How Fintrics analyzes US-listed companies.
Fintrics uses public filings and macroeconomic data to organize company analysis into a clearer, more structured report. Scores summarize the model, not a stock action instruction.
Last updated: 2 April 2026
The methodology is best understood in three parts: the inputs Fintrics uses, how those inputs are organized into scores, and the limits that still apply to any modelled summary.
General information only
Fintrics PTY LTD does not provide personalized outputs. Fintrics content, including scores and commentary, is for general information and education only. Historic relationships and model outputs are not reliable indicators of future results. See our Terms of Service, Data Policy, and the disclaimer below.
Fintrics combines company filings, sector context, and macro data into one report structure.
The goal is to help investors review public information more clearly. Company metrics are drawn from SEC filings, macro indicators come from public economic sources, and scores summarize how those inputs compare within the model.
Collect the inputs
Public filing data and macro context are gathered from established public sources.
Organize the structure
Those inputs are grouped into a report layout that is easier to read and compare.
Summarize the model
Category and overall scores reflect how the tracked inputs sit within the methodology.
Reduce the friction of moving through raw disclosures and disconnected context.
Keep the structure more consistent from one company to the next.
Turn filing and macro inputs into a summary that is easier to interpret quickly.
The report structure is built from several categories of public information.
Company metrics
Fintrics evaluates a defined set of financial metrics from public filings, including profitability, leverage, liquidity, and growth-related measures.
Sector context
Companies are reviewed within sector context so comparisons remain more meaningful for the type of business being analyzed.
Macro indicators
Public macroeconomic series help place company results into a broader economic context rather than treating business data in isolation.
Historic mapping
Reported metrics are compared against historic sector distributions and model rules to produce a structured summary of relative strength and weakness.
Weighted scores
Metrics contribute to category and overall scores using sector-specific weights that aim to reflect economic relevance for that type of company.
Data refresh
Reports are refreshed after new source data becomes available and is processed. Fintrics is not a live tick-by-tick market feed.
Limitations
- Filing data reflects reporting periods and publication timing, not same-second market updates.
- Restatements and accounting choices can change historic comparisons.
- Third-party feeds can contain delays or errors.
- All scoring models simplify reality and should be treated as one lens, not the whole decision.
Disclaimer
Third-party and modelled data may contain errors, omissions, or delays. Historic relationships used in scoring do not guarantee future results. Always verify important figures against primary sources where it matters for your use. Nothing on Fintrics is source review, education, and independent judgment.
Use the same scoring lens across reports, sectors, and comparisons.
Questions people usually ask before they start.
A few quick answers on reports, data, pricing, and how Fintrics fits into a normal stock research process.
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