SEC filing-derived company inputs.
Stock financial data sources
Where Fintrics stock data comes from.
Fintrics uses public filing-derived company data, sector context, and public macroeconomic sources to build stock research reports. This page explains the main sources, update process, and limitations behind that workflow.
Last updated: 13 July 2026
The key questions are straightforward: which public sources feed Fintrics, how filing data and macro context are combined, how often reports refresh, and what limitations still remain after processing.
Public macroeconomic context where relevant.
Processed refreshes, not live quote streaming.
Public sources behind Fintrics reports
Fintrics is built on public filing and macroeconomic data.
The platform relies on public company disclosures and public macro sources, then organizes those inputs into a report structure that is easier to read and compare.
EDGAR (SEC)
Fintrics extracts financial information from SEC filings such as 10-K, 10-Q, and 8-K reports. That includes revenue, profitability, balance sheet, cash flow, and related filing disclosures.
Source: SEC EDGAR Database
FRED (Federal Reserve)
Fintrics uses public macroeconomic indicators from the Federal Reserve Economic Data database, including rates, inflation, growth, employment, and production-related series where they help frame company context.
Source: FRED Economic Data
Why source transparency matters
The data foundation should be inspectable before the scores are trusted.
Users should be able to see where a figure came from, what date context applies, and what processing limits still remain before they treat a report as useful.
- Public-source inputs are easier to inspect than opaque proprietary feed claims.
- Date context matters because filing periods, publication dates, and refresh dates are not the same thing.
- Transparent source boundaries help keep Fintrics in a research-support role rather than a certainty-selling role.
How the data is combined
Fintrics joins company filings, sector context, and macro inputs into one workflow.
Filing-derived company metrics help explain the business. Sector context helps keep comparisons more relevant. Public macro data helps frame the broader environment. Together they create a cleaner starting point for stock research.
Step 01
Process company filings
Supported company disclosures are turned into structured financial metrics and report context.
Step 02
Add context layers
Sector and macro context are added where they help interpret the company data more clearly.
Step 03
Generate the report
Those inputs feed stock pages, score views, and connected explainers inside the research workflow.
Important boundary
Combining public data does not remove public-data limitations.
Processing can improve readability, but it cannot eliminate delayed filings, restatements, inconsistent disclosures, or source errors. Fintrics still depends on the quality and timing of public inputs.
How often Fintrics data updates
Reports refresh after supported source data is processed.
- FRED data is refreshed after the latest supported values are processed from the source API.
- EDGAR data is refreshed after checking for newly published supported filings.
- Stock reports and score views update after the latest processed source data is available in the system.
Date context
A report date, filing date, and capture date can differ.
Fintrics can surface the original source period, the filing context, and the processed platform state for a value where relevant. That helps users understand whether a figure reflects a new filing, an older reporting period, or the latest processed state inside the platform.
Important source limitations
Stock financial data still needs interpretation and verification.
- Public filings can be restated or revised after first publication.
- Third-party processing can introduce delays, gaps, or mismatches.
- Not every company has the same depth or consistency of reportable data.
- Important figures should still be checked against primary sources when they matter to your research.
Related account and infrastructure services
Some account and delivery functions depend on outside providers.
- Supabase for authentication and database services.
- Stripe for subscription and payment processing.
- Vercel for hosting and application delivery.
For account-related processing details, review the provider policies alongside the Fintrics Privacy Policy and Terms of Service.
Use the data in context
Source data is most useful when it is connected to methodology, scores, and reports.
The source page should not live in isolation. It works best when it helps users move into the methodology, score explainers, and real stock pages with clearer trust in what they are reading.
FAQ
Practical questions about Fintrics stock data sources.
A few quick answers on the public sources behind Fintrics, how updates work, how filing and macro data are combined, and when primary-source verification still matters.
What public data sources does Fintrics use?
Fintrics uses public company information, SEC filing-derived data, supported financial metrics, sector context, and public macroeconomic series such as FRED where relevant.
How often does Fintrics update its stock data?
Fintrics refreshes supported data after new public source inputs are processed. It is not a live tick-by-tick market feed.
Does Fintrics combine filing data and macro data?
Yes. Fintrics combines filing-derived company inputs with sector context and public macroeconomic data where relevant to build a clearer research workflow.
Should important figures still be verified against primary sources?
Yes. Public and third-party data can contain delays, errors, omissions, or restatements, so important figures should still be checked against primary sources where it matters.