By Javier Sanz, Founder & Lead AnalystEditorially reviewed

Last updated: March 1, 2026Reviewed by: Javier Sanz

How Accurate Is ValueMarkers Data?

If you are making investment decisions based on financial data, accuracy is non-negotiable. Here is exactly how we source, validate, and maintain the numbers you see on ValueMarkers.

The Honest Truth About Financial Data

No financial data provider is perfect. Bloomberg, Refinitiv, FactSet, and every other platform occasionally have errors. The difference is in how those errors are detected, handled, and communicated to users.

At ValueMarkers, we take a transparency-first approach. Rather than pretending our data is flawless, we want you to understand exactly where it comes from, how it is processed, and what its limitations are. That way, you can make informed decisions about how much weight to give any single data point.

We believe that understanding your data pipeline is just as important as the data itself. If you do not know where a number comes from, you cannot properly evaluate whether to trust it.

Where Our Data Comes From

All financial data on ValueMarkers is sourced from Financial Modeling Prep (FMP), an institutional-grade data provider. FMP aggregates data directly from:

SEC EDGAR filings (10-K, 10-Q, 8-K) for US-listed companies
International regulatory filings for companies listed on 73 global exchanges
Direct exchange feeds for end-of-day pricing data
Analyst estimate aggregators for consensus forecasts

This is the same underlying source data that powers many professional-grade tools. The key difference is that we make the data accessible to individual investors instead of charging institutional prices.

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How We Validate and Process Data

Raw data is only as useful as the validation layer on top of it. Here is what happens every night after markets close:

1Nightly data pull - We fetch the latest financial statements, prices, key metrics, and ratios for all active securities across 73 exchanges.
2Missing data handling - Indicators without sufficient data are marked as N/A. We never impute or estimate values, because a missing number is more honest than a fabricated one.
3Outlier capping - Extreme values (P/E above 1000x, negative book values) are capped at sensible thresholds to prevent distortion in percentile rankings.
4Historical consistency checks - Multi-year data points are cross-referenced to detect filing restatements, corrections, or feed errors.
5Indicator computation - All 120 indicators are recalculated from the validated data. Every formula is deterministic and reproducible.

Known Limitations

Quarterly filing lag. Financial statements are only as current as the last filing. Quarterly data may be up to 90 days old. For rapidly changing businesses, the numbers may not reflect the most recent quarter.

No real-time tick data. ValueMarkers focuses on end-of-day fundamental data. If you need sub-second price updates or Level 2 order book data, a trading terminal is a better fit.

International coverage variation. US-listed companies have the deepest data (30 years of history). Some smaller international exchanges may have shorter histories or less granular breakdowns.

Qualitative blind spots. No quantitative data platform can capture management quality, competitive moats, or regulatory risk. The VM Score is a starting point for research, not a replacement for judgment.

Learn More

Data Quality & Transparency

Deep dive into our data sources, refresh pipeline, and validation process.

VM Score Methodology

How the 120-indicator composite score is calculated and what each category measures.

Frequently Asked Questions

Where does ValueMarkers get its financial data?

All financial data is sourced from Financial Modeling Prep (FMP), an institutional-grade provider that aggregates data from SEC EDGAR filings (10-K, 10-Q), international regulatory filings, and direct exchange feeds covering 73 global exchanges.

How does ValueMarkers handle data errors or missing data?

When data is missing or incomplete, we mark the affected indicators as N/A rather than guessing or imputing values. Outlier values (e.g., P/E ratios above 1000x) are capped at sensible thresholds before percentile ranking. We also run automated consistency checks across multi-year data to catch filing restatements.

How often is the data updated?

Financial data is refreshed nightly after market close. All 120 indicators are recomputed from the raw data each night, and percentile scores are recalculated against the full universe of stocks. Quarterly financial statements are typically available within 24-48 hours of an SEC filing.

How does ValueMarkers data compare to Bloomberg or Refinitiv?

Bloomberg and Refinitiv terminals cost $20,000-$25,000 per year and serve institutional traders who need real-time tick data. ValueMarkers uses the same underlying SEC filings for fundamental data, but we focus on end-of-day financial statements and ratios rather than real-time trading data. For fundamental analysis and value investing, the data quality is comparable at a fraction of the cost.

Last updated: March 2026 by Javier Sanz

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