StockAnalysis.com API Alternative for Point-in-Time Fundamentals
StockAnalysis.com offers a web front end for reviewing company financials. If you want to inspect one company, scan an income statement, or check a recent figure in a browser, it may fit that workflow well. See its current products, terms, and pricing at https://stockanalysis.com/.
But searching for a StockAnalysis.com API alternative for fundamentals often means you have moved beyond visual research. You may need to query thousands of observations, reconstruct what was public on a historical date, or distinguish a company's first-reported figure from its current revision.
That is a different job, not necessarily a better version of the same job.
Tradevo Data provides point-in-time US equity fundamentals sourced from public-domain SEC EDGAR filings. Its core interface accepts an as_of date and returns both the first-reported value and the latest revision. It is designed for researchers who need explicit data timing rather than a company page.
The short version
Choose StockAnalysis.com when you want a browser-based workflow for reviewing company financials. Verify its current features and pricing at https://stockanalysis.com/.
Consider Tradevo Data when your workflow requires:
- Programmatic JSON access
- Server-side historical
as_offiltering - An explicit first-reported value
- Current revisions alongside original values
- Restatement labels
- Annual or quarterly bulk downloads
- Reproducible research inputs from SEC EDGAR
Tradevo Data covers 5,168 US companies and 632,466 annual point-in-time rows across 16 annual concepts, with up to 12 fiscal years where available. It also contains 1,089,635 quarterly rows across 5,382 companies and seven quarterly concepts. There are 37,804 labeled restatements. Coverage excludes non-US and delisted companies.
Fair comparison
| Requirement | StockAnalysis.com | Tradevo Data |
|---|---|---|
| Primary use | Browser-based company and market research; verify current scope with StockAnalysis.com | Programmatic point-in-time fundamentals research |
| Browser experience | Website-based; assess the current experience directly | API and documentation focused |
| Source | See StockAnalysis.com for its current methodology and coverage | SEC EDGAR, public domain |
Historical as_of parameter |
Verify current availability with StockAnalysis.com | Yes; filtering uses first_filed <= as_of, inclusive on the same day |
| First-reported value | Verify current availability with StockAnalysis.com | original_value on every row |
| Current revised value | Verify exact revision handling with StockAnalysis.com | latest_value on every row |
| Restatement handling | Verify methodology with StockAnalysis.com | restated flag for changes above 0.5% on the same tag, including amendments |
| QA metadata | Verify current availability with StockAnalysis.com | qa_status on every row |
| Annual and quarterly data | Verify current coverage, export, and API options | API and bulk downloads support period=annual or period=quarterly |
| Bulk files | Verify current availability with StockAnalysis.com | Included with Pro through /v1/download and /v1/snapshot?as_of |
| Parquet | Verify current availability with StockAnalysis.com | Not included |
| Price | See the StockAnalysis.com pricing page at https://stockanalysis.com/ | Card-backed 7-day free trial; renews at $29/month unless canceled |
See the lookahead leak on real filings — five companies, 225 rows, CC0, no signup. Three minutes in a notebook, before you decide anything.
This table is intentionally asymmetric. StockAnalysis.com is oriented toward a web experience, while Tradevo Data is built around data lineage and historical availability. A browser page should not be judged as though it were a backtesting API, and an API should not be judged primarily by how quickly a human can scan a statement.
Why as_of changes the research question
A conventional fundamentals table can tell you what a filing says now. A historical backtest needs to know what was public then.
Suppose a company reports annual revenue after its fiscal year ends. Assigning that revenue to the fiscal period without respecting its filing date makes the value appear available too early. If the company later amends the filing, using the revised value in an earlier simulation introduces another timing error.
Tradevo Data exposes the timing fields directly:
first_filed: the date the value became publicoriginal_value: the first-reported, point-in-time-safe valuelatest_value: the current revisionrestated: whether the same-tag value changed by more than 0.5%, including amendmentsqa_status: a quality-assurance status for the row
The endpoint is deliberately narrow:
/v1/fundamentals?ticker&as_of[&concept][&period=annual|quarterly]
Annual is the default. The server only includes rows whose first_filed date is on or before the requested as_of date. That makes the cutoff explicit instead of leaving every user to reconstruct filing chronology locally.
For more on the underlying research problem, see https://tradevodata.com/blog/lookahead-bias-fundamental-backtests?utm_content=alt-stockanalysis-com and https://tradevodata.com/blog/point-in-time-fundamentals-data?utm_content=alt-stockanalysis-com.
What is actually covered
Annual coverage has 16 concepts: Revenue, NetIncome, Assets, StockholdersEquity, OperatingCashFlow, EPSDiluted, DilutedShares, GrossProfit, OperatingIncome, PretaxIncome, IncomeTaxExpense, CapitalExpenditures, CashAndCashEquivalents, CurrentAssets, CurrentLiabilities, and NetPPE.
Quarterly coverage contains seven concepts. Q4 is reported where tagged or derived and labeled where supported. Tradevo Data does not derive Q4 EPS or diluted shares, and it does not provide TTM data.
Those boundaries matter. This is positioned as an honest budget tier of research-grade point-in-time data, not as the only affordable option. Sharadar, Tiingo, and QuantConnect are credible alternatives with different product scopes. Check their current documentation and pricing pages before deciding:
- Sharadar: see its pricing page at https://data.nasdaq.com/publishers/SHARADAR
- Tiingo: see its pricing page at https://www.tiingo.com/pricing
- QuantConnect: see its pricing page at https://www.quantconnect.com/pricing/
Public evidence before signup
You do not have to enter a card to inspect the methodology. The public proof pack contains 225 rows covering five companies and their latest three fiscal years, with full methodology:
https://github.com/christianpichichero-max/pit-fundamentals
On the five-company proof pack's reliable-filing rows only, the measured mean lookahead was 35.2 days and the maximum was 48 days. These measurements are limited to that sample; they are not claims about the full dataset or investment performance.
The repository is a practical first step if you are skeptical. Inspect the rows, filing dates, original values, revisions, and methodology before evaluating the paid product.
When StockAnalysis.com wins
StockAnalysis.com may be the better option when:
- You are checking one company manually
- You prefer a readable financial-statement page
- You do not need to automate retrieval
- You are researching current figures rather than reconstructing historical availability
- Its current website features and terms meet your needs
- You do not need first-reported and latest values side by side
For those tasks, adding an API may create complexity without improving the answer. A human-readable website can be the more efficient tool.
Review StockAnalysis.com's current offering and pricing at https://stockanalysis.com/. If its API, export, coverage, revision features, or terms change, use its current documentation rather than relying on this comparison.
When Tradevo Data is the better fit
Tradevo Data is more relevant when you need to:
- Run historical screens using only information public by each date
- Separate original reports from later revisions
- Study amendments or restatements
- Pull normalized fundamentals into a research stack
- Create dated snapshots across a US equity universe
- Download annual or quarterly bulk data
- Avoid writing and maintaining SEC filing normalization infrastructure
The card-backed 7-day free trial covers 10 companies, a rolling three-year history, and 100 requests per day, without bulk access. It renews at $29/month unless canceled. Pro provides the complete available history, 5,000 requests per day, and bulk downloads.
Documentation is available at https://tradevodata.com/docs?utm_content=alt-stockanalysis-com. To try the API, visit https://tradevodata.com/?utm_content=alt-stockanalysis-com.
When to build it yourself
Building directly from SEC EDGAR can be the right decision. The source material is public domain, and an internal pipeline gives you control over taxonomy choices, filing selection, normalization, and exception handling.
Build it yourself when:
- Your team already operates reliable EDGAR ingestion infrastructure
- You need concepts or filing types outside Tradevo Data's scope
- You require non-US, delisted, TTM, or custom accounting coverage
- You want full control over Q4 derivation and tag mapping
- Your validation requirements justify ongoing engineering and data-QA work
- You need a storage format such as Parquet as a first-class deliverable
The tradeoff is maintenance. A self-built system may need to handle filing chronology, amendments, duplicate or changing tags, units, fiscal periods, derivations, quality checks, and reproducible snapshots. Tradevo Data is an alternative for teams that do not want to maintain that layer themselves.
A practical evaluation path
Start with the no-signup proof pack:
https://github.com/christianpichichero-max/pit-fundamentals
Check whether the timing model, fields, concepts, and methodology match your research design. If they do, use the card-backed 7-day free trial at https://tradevodata.com/?utm_content=alt-stockanalysis-com to test the live endpoint on a limited universe. The trial renews at $29/month unless canceled.
If you primarily need a company page, StockAnalysis.com may be the better fit. If you need explicit historical availability and first-reported values in code, test Tradevo Data. They solve adjacent but materially different problems.
Not investment advice. Verify competitor features, terms, and pricing on their current websites.