Simply Wall St Alternative: The Underlying Filings
By Chad Hartman
Published · Last updated
The Simply Wall St Snowflake is the most successful piece of design in retail investing software. One shape, five axes, instant read. It took financial statement analysis — a discipline that intimidates most people out of ever attempting it — and made it glanceable. Millions of investors who would never open a 10-K have at least looked at a company's fundamentals because of it, and that is a real contribution.
Understanding what the shape is made of explains both its appeal and its ceiling. Simply Wall St's help documentation describes the Snowflake as a visual summary across five assessment criteria — Valuation, Future Growth, Past Performance, Financial Health, and Dividends — with six individual checks performed for each criterion. Thirty checks. Each one passes or fails. The results determine the size, shape, and color of the shape you see.
Thirty binary answers, rendered as a picture. That is an enormous amount of compression, and compression is lossy by definition.
Table of Contents
- What a Pass/Fail Check Throws Away
- Not Every Check Is Filing Data
- The Shape Is Not the Analysis
- Where Simply Wall St Earns Its Place
- Reading the Statements the Checks Were Run On
- Graduating From the Picture
- Frequently Asked Questions
What a Pass/Fail Check Throws Away
A threshold converts a measurement into a verdict, and the cost is magnitude.
Consider any check of the form "is this ratio below a limit." A company sitting just inside the line and a company sitting far inside it both pass, and the check cannot distinguish them. A company just outside fails, alongside one in serious trouble. Three companies with materially different financial positions produce two identical outcomes and one that overstates the difference.
Direction disappears too. A metric improving rapidly toward a threshold and a metric deteriorating rapidly toward it from the other side can both fail this quarter, and the check treats them the same. Trajectory is usually the most informative thing in a filing history, and a binary snapshot has no way to carry it.
Then the thirty results get compressed again into five axis scores, and the five get rendered as one shape. By the time the picture is drawn, an investor is three transformations from the number.
None of that makes the checks wrong. It makes them a filter — useful for excluding, weak for deciding.
Not Every Check Is Filing Data
The more consequential point is that some of the criteria cannot come from a 10-K at all.
Simply Wall St's own valuation documentation describes six checks in the valuation section, with the first two based on intrinsic valuation and the remaining four on relative valuation and analyst price target forecasts. Its published company analyses describe discounted cash flow models built on analyst and extrapolated projections, and its commentary states plainly that it works from historical data and analyst forecasts.
The Future Growth arm is, by construction, a forecast arm. Analyst estimates are not reported facts, they are not filed anywhere, and they revise continuously. A company's Snowflake can change shape without a single new filing, because the consensus behind the growth and valuation checks moved.
That is fine as long as you know which arms are which. It becomes a problem when the shape is read as a summary of the company rather than as a blend of what the company reported and what the sell side currently expects.
The Shape Is Not the Analysis
There is a specific failure mode that visual scoring encourages, and it has nothing to do with the accuracy of the underlying checks.
A green shape produces confidence, and confidence does not require detail. An investor who has seen a large green Snowflake feels informed, and that feeling is exactly what stops the next question from being asked. Which check failed? Was the failure marginal or severe? Is the metric improving? What changed in the last filing? A picture designed for speed is not designed to prompt any of those.
Simply Wall St is candid about the intent — its documentation describes the Snowflake as a way to quickly scan a stock, a group of stocks, or a whole market. Scanning is exactly what it is for.
The mistake belongs to the reader who mistakes a scan for a decision. Nobody buys a house on a listing photo, and the Snowflake is a listing photo. Very good ones are still not surveys.
Where Simply Wall St Earns Its Place
The product deserves credit for what it does well, and at roughly the price of a coffee a month there is not much to argue with.
Comparing thirty companies quickly is a real task and the Snowflake is close to the best tool for it. Portfolio-level views that show the shape of everything you own at once surface concentration and quality issues faster than a spreadsheet does. Automated alerts when the underlying data moves against a thesis are useful for anyone who cannot monitor positions daily. And for an investor early in their education, the checks function as a curriculum — each one names a concept worth learning.
None of that is diminished by saying the picture is a starting point. It is a very good starting point.
The question is what happens next, because the platform's own model has an answer built in: the checks tell you which arms are weak, which is a prompt to go look.
Reading the Statements the Checks Were Run On
GeminIQ is the other end of that workflow. 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 — the statements themselves, not a verdict about them.
Financial Statements show a company's own captions across quarters and years, so a metric near a threshold can be read as a trajectory rather than a verdict. Visualizations chart the reported structure over time, which is where direction becomes visible. Custom Tables assemble specific reported line items. Calculated Metrics including Current Ratio, Debt-to-Equity Ratio, and Free Cash Flow are computed from as-filed inputs, so the number behind a passed or failed check can be inspected rather than inferred. For learning what the checks are actually testing, how to read a 10-K and how to calculate financial ratios from a 10-K cover the mechanics.
Carvana's 2022 filings are the clearest available demonstration. Its Altman Z-Score read 1.86 in March 2022, 1.42 in June, 1.30 in September, and 1.09 by December — below the 1.81 distress threshold for five consecutive quarters. A binary check run in March returns the same result as one run in December.
The two quarters were not the same company. Gross Profit Margin fell from 15.1% trailing in December 2021 to 13.4%, 11.9%, 10.8%, and 9.2% across that year, and Total Shareholders' Equity turned negative for the first time in Carvana's public history at -$1.05 Billion. Direction was the entire signal, and a pass-or-fail check has no way to carry it. The Carvana record traces the whole sequence.
There is no shape, no score, and no forecast. What there is instead is the reported record the checks were run against.
Graduating From the Picture
Every investor starts somewhere, and starting with a picture is better than starting with nothing.
The transition worth naming is the one from screening to owning. A visual summary is built for the first — narrowing a universe fast, at low cost, without needing to understand every metric on the page. Ownership is different, because the position moves and the questions get harder, and a shape has nothing more to give once you have already seen it.
For the same compression problem expressed as a composite rank rather than a shape, the GuruFocus alternatives and Morningstar alternatives posts cover scoring layers built on licensed data.
At that point the checks have done their job. They pointed at which arm was weak. The filings are where you find out why — and a thesis built on a shape is a thesis you cannot examine when it stops working.
Frequently Asked Questions
What are the best Simply Wall St alternatives?
It depends on what you are replacing. For visual screening and portfolio-level summaries, the substitutes are other retail platforms with scoring systems, all of which compress underlying data into a rating in some form. For the statements underneath, the alternative is a platform that extracts from SEC EDGAR and preserves as-filed line items with XBRL tag traceability, which supplies the numbers rather than a verdict on them.
How does the Simply Wall St Snowflake work?
Simply Wall St's documentation describes it as a visual summary across five assessment criteria — Valuation, Future Growth, Past Performance, Financial Health, and Dividends — with six individual checks performed for each criterion. The results of those checks determine the size, shape, and color of the Snowflake.
Is the Snowflake based on SEC filings?
Partly. The Past Performance and Financial Health arms draw on reported financial data, while the Future Growth arm and several valuation checks depend on analyst forecasts and consensus price targets, which are not filed anywhere. A company's Snowflake can change without a new filing, because the estimates behind those checks revised.
Is Simply Wall St good for beginners?
It is one of the better on-ramps available, because each check names a concept worth learning and the visual format removes the intimidation that stops most people from opening a financial statement at all. The limitation is the same as the strength — a pass or fail hides magnitude and direction, so it works better for narrowing a list than for deciding on a position.
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.
- Simply Wall St help center documentation on the Snowflake (five assessment criteria, six checks per criterion) and on the valuation section (six checks split between intrinsic and relative valuation plus analyst price target forecasts), reviewed August 2, 2026.
- Simply Wall St published company analyses describing DCF models built on analyst and extrapolated projections, and its standing note that its commentary is based on historical data and analyst forecasts.
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.