StockAnalysis.com Alternative: Traceable Filing Data
By Chad Hartman
Published · Last updated
StockAnalysis.com is the rare free financial site that does not insult the person using it. Clean tables, fast pages, minimal advertising, no promoted tickers, a screener that outperforms products charging real money, and coverage running past 130,000 tradable symbols. Pro is $79 a year and Unlimited is $199 — pricing that undercuts most competitors by a factor of three or four.
It is also unusually candid about its own architecture. The site publishes a data sources page naming its providers, states that fundamental and historical financial data comes from S&P Global Market Intelligence and Fiscal.ai, acknowledges that errors and delays can occur, and tells users to confirm critical details against official filings before acting on them.
That last instruction is the honest center of the product, and almost nobody follows it — because the moment you try, you discover the verification step is the hard part.
Table of Contents
- The Instruction Most Users Skip
- What Verification Actually Requires
- The Data Source Selector Tells You Something
- Where a Free Summary Layer Stops
- Making the Verification Step the Default
- Using Both, in the Right Order
- Frequently Asked Questions
The Instruction Most Users Skip
"Verify against the primary source" is advice every serious research platform gives and almost no workflow accommodates.
The reason is friction. Confirming a single balance sheet figure against the original filing means finding the company's EDGAR page, identifying the correct filing among amendments and exhibits, locating the statement inside a document that frequently runs past a hundred pages, finding the caption, and then reading the footnote that explains what the caption contains. That is fifteen minutes for one number. Nobody does it fifteen times in an afternoon, so in practice it gets done zero times.
The instruction is correct. The workflow makes it impractical. And the gap between the two is where most retail research quietly stops being verified at all.
What Verification Actually Requires
Verification is not eyeballing whether two numbers look similar. It is establishing that a displayed value and a reported value are the same fact.
Three things have to line up. The period has to match, which sounds trivial until a fiscal year ending in September gets compared against a calendar quarter. The scope has to match, meaning the displayed figure covers the same set of items the filing's caption covers. And the classification has to match, meaning nothing was combined, split, or reassigned between the document and the screen.
The third is where standardized data and filed data part company, and the divergence is rarely an error. Two distinct cash outflows can become one row because the template has one row where the filing has two. A single filed liability caption can be split into two so a component is separately trackable. A label can survive while its contents change — the version that costs the most, because the screen gives no signal that anything was decided.
Every one of those reconciles cleanly once you can see both sides. The problem is that a summary layer only shows you one side, so an investor comparing a screen to a 10-K is left guessing whether a variance is a mapping choice or a mistake.
The Data Source Selector Tells You Something
There is a feature on StockAnalysis.com that is more informative than it appears.
Because history depth varies by provider, the site offers a data source selector on financial statement tables — free access runs to roughly five years, paid access extends to about ten from the primary provider, and switching providers reaches back forty years or more for established companies. The site documents this openly, which is more transparency than most platforms offer.
Sit with the implication. The same company's financial history can render differently depending on which provider you select, because each provider made its own decisions about how to represent filings that were themselves identical. The filings did not change. The rendering did.
That is the clearest available demonstration that standardized data is a representation rather than a record. Two providers reading the same 10-K can produce two defensible versions of it, and a selector is the honest way to surface that. It also means "what does this company's ten-year history look like" is a question with more than one correct answer on a licensed-data platform, and exactly one on the filings themselves.
Where a Free Summary Layer Stops
None of this makes a summary layer bad. It makes the boundary of its usefulness locatable.
For screening, orientation, comparing valuation across a peer group, checking a dividend record, scanning growth trends, or answering a question in thirty seconds, a fast summary is the right tool and the price is close to irrelevant. StockAnalysis.com does that job better than most paid products, and its free tier is a public service — the same instinct GeminIQ's own Free plan follows, just built on as-filed data instead of licensed fundamentals.
The boundary arrives when the question stops being "roughly what does this look like" and becomes "is this number the number." That transition happens at a predictable moment: when capital is about to move, or when a conclusion has to survive somebody asking where it came from. At that point the summary has done its job and the filing becomes the only sufficient source.
The failure mode is not using a summary layer. It is failing to notice which question you have moved on to.
Making the Verification Step the Default
GeminIQ exists to collapse that fifteen-minute lookup into a default state.
It extracts 10-K and 10-Q data directly from SEC EDGAR, preserves each company's own reported line item structure, and keeps the XBRL tag attached to every value. There is no mapping layer between the filing and the display, which means verification is not a separate errand — the figure on screen is the reported fact, with the tag that identifies it.
Financial Statements show a company's own captions across quarters and years rather than a template's rows. Custom Tables build views from specific reported items. Calculated Metrics such as Return on Invested Capital and Free Cash Flow are computed from as-filed inputs, so a metric can be checked against the numbers behind it. The step-by-step mechanics are covered in how to verify financial data against an SEC filing.
A documented case shows how invisible a classification difference can be. Carvana's FY2025 10-K reports Other current liabilities at $134M. A widely used retail aggregator displays $296M under the same label — roughly 2.2 times the filed figure — because its bucket absorbs lease and other obligations the filing reports elsewhere. The non-current side runs the same pattern: $15M as filed against $2,243M displayed, under an identical caption.
This is the label-value mismatch, and it is the version that defeats casual verification entirely. An investor glancing between a screen and a 10-K sees matching words, assumes matching numbers, and moves on. Catching it requires comparing the values themselves, which is the step the advice recommends and the workflow rarely permits. The documented cases post lists four of them across three large filers.
The tradeoff is real and worth stating. US public company fundamentals only. No international coverage, no ETF holdings, no analyst ratings, no dividend calendars. Coverage stops where the SEC's jurisdiction stops.
Using Both, in the Right Order
These are not competing products, and treating them as substitutes gets the workflow backwards.
Start broad. Use a fast, free summary layer to find companies, compare peers, and decide what deserves a real afternoon — that phase rewards speed, and paying for precision you will discard is waste. Then, when a name survives the screen and money is about to be involved, switch sources rather than switch tabs.
The point is not that summary data is untrustworthy. It is that "verify against the official filing" should be a step you can actually complete, not a disclaimer you scroll past. StockAnalysis.com is right to tell users to do it. The filings are where it gets done.
Because the site's fundamentals come from S&P Global Market Intelligence and Fiscal.ai, the Capital IQ alternatives and Fiscal.ai alternatives posts both describe the data layer sitting underneath what you are reading.
Frequently Asked Questions
What are the best StockAnalysis.com alternatives?
Which alternative fits depends on the job. For fast free summary data across a global universe of stocks and ETFs, the substitutes are other broad research sites, most of which license fundamentals from the same providers. For verifying a figure against the document a company filed, the alternative is a platform that extracts from SEC EDGAR and preserves as-filed line items with XBRL tag traceability.
Where does StockAnalysis.com get its data?
The site publishes a data sources page stating that fundamental and historical financial data comes from S&P Global Market Intelligence and Fiscal.ai, with additional providers supplying price, ETF holdings, ratings, and forecast data. It also notes that errors or delays can occur and recommends confirming critical details against official filings.
Is StockAnalysis.com accurate?
The platform runs automated and manual quality checks and is transparent about known limitations, which is more than most free sites offer. What it displays is standardized data from licensed providers, so a value can be accurate as a standardized figure while still differing in classification from the caption in the filing. That is a mapping question rather than an accuracy question, and only the filing settles it.
How do I verify a financial figure against an SEC filing?
Match three things: the period, the scope of what the figure covers, and the classification. Locate the filing on SEC EDGAR, find the statement, read the caption, then read the footnote that explains what the caption contains — footnote detail is usually where a variance resolves. A platform that preserves as-filed line items and XBRL tags removes most of that lookup by keeping the reported structure intact.
Wall Street's data. Main Street's price.
Institutional terminals charge thousands a year for as-filed accuracy. GeminIQ gives you the same thing for a fraction of the cost: financials built directly from raw SEC EDGAR filings, not third-party APIs, with full XBRL traceability back to the original 10-K or 10-Q. No normalized guesswork, just calculated metrics, charts, screeners, and watchlists built on numbers exactly as the company reported them. Start researching now at GeminIQ.com.
Data Used / Sources
- Fundamental data sourced from XBRL-tagged SEC filings via GeminIQ.
- StockAnalysis.com data-provider attributions, coverage figures, history-depth tiers, data source selector, and Pro and Unlimited pricing reviewed August 2, 2026 from the site's published data sources and pricing pages plus third-party platform reviews. Verify current figures before republication.
Disclaimer: The content in this blog is for educational and entertainment purposes only and does not constitute financial, legal, or tax advice. Investing involves risk, including the loss of principal. The views expressed are my own and not intended as financial advice or a guarantee of future performance.