Intrinio Alternatives for SEC Balance Sheet Data

People usually go looking for an alternative for one of three reasons: price, scope, or they want to know how the number was chosen. Only the third one is a reason to pick this.

At a glance

Prices and features on the right-hand column change, and this page does not — check their site before you decide anything on it. The rows about method are the ones that stay true.

To Scale compared with Intrinio
  To Scale Intrinio
Scope SEC balance sheets only Broad platform, many feeds
Pricing model Published, self-serve, card Quote-based, tiered — check their site
Selection method A = L + E, published Not publicly documented
Entry price Free, then $49/mo Check their site
Bulk file $79.99 one-off Higher plans
Tells you when it is unsure Yes — every exception is flagged with its reason, and the counts are public at /methodology No — a figure is returned either way
Accuracy method Every valid filing checked against A = L + E; exceptions flagged Not published as a figure
Latency ~300 ms typical (measured 292–364 ms, Sep 2026) Varies by feed — check their site
Coverage 6,201 SEC filers Wider, including non-SEC

Work out which problem you actually have

"Alternative to X" searches usually mean one of three things, and they lead to different answers.

If it is price, be careful comparing a platform to a single-purpose tool. A broad data platform is not expensive for being broad. It is expensive because you are buying ten feeds. The question is whether you need ten. If you only ever call fundamentals, you are paying nine-tenths of a bill for nothing, and that is a scope problem wearing a price problem's clothes.

If it is scope, a narrower tool is straightforwardly better. Fewer endpoints, less surface, simpler mental model, and the thing you wanted is the thing on the front page.

If it is method, and you found a number that disagreed with a filing and want to know why, that is the reason I built this, and it is the one where I can give you a real answer.

The difference is which tag gets picked

Every provider in this category reads the same source. SEC EDGAR publishes XBRL for every filer, free, and nobody has better raw material than anybody else. What separates one API from the next is not access. It is the selection step, and that step is almost never documented.

Here is the problem it has to solve. Open JPMorgan's 10-Q and search for Assets and you get twenty-three facts. Not twenty-three values — twenty-three tagged instances, one for the consolidated bank and one for each segment and subsidiary that has to be broken out separately. Every one is valid XBRL. Exactly one is the number on the face of the balance sheet, and the only thing marking it is an absence: it is the fact with no dimensions attached.

An extractor that takes the first match, or the largest, or the most recently filed, will be right most of the time and wrong in a way that leaves no trace. No exception, no null, no warning. Just a number that is a segment instead of a company. Measured across the filings loaded here, that naive approach disagrees with the consolidated figure often enough to matter — roughly one filing in five.

To Scale resolves it with arithmetic rather than a heuristic: pull every candidate for assets, liabilities and equity, and keep the combination that satisfies Assets = Liabilities + Equity. The consolidated figures balance against each other. A segment's assets do not balance against the whole company's liabilities. The identity is a test, not a guideline, and it is the reason a figure here is checked rather than guessed at.

When nothing balances, the answer is that nothing balances. The filing is served as-reported with a warning on it rather than adjusted until the columns agree, because a filing that does not add up is a fact about the company, and you should get it as one.

Why transparency matters more than a number

Every provider in this category reads the same filings. The difference is what happens when a filing is hard to read. The usual answer is that you get a number anyway, with nothing attached to say how confident it is — and a figure that is quietly a segment instead of a company looks exactly like one that is right.

To Scale checks every balance sheet against Assets = Liabilities + Equity before publishing it. A filing that reconciles is published with its figures. A filing that does not is published with the reason: a noncontrolling interest reported as a separate line, mezzanine equity outside permanent equity, rounding inside one percent, a component we could not read, or a filing whose own totals disagree with each other. The exceptions are counted in public and named individually on how we verify.

That is the whole claim. Not that nothing is ever wrong — that when something is, you are told which number and why, instead of finding out from your own reconciliation three weeks later.

What to demand from any replacement

Whatever you end up choosing, including if it is not this: make the provider answer how they resolve duplicate XBRL tags, whether figures are as-reported or restated, whether filing dates come with the data, and what happens when a filer does not report a line. Those four answers predict almost everything about whether the data will hold up in production.

Then run the check that settles it. Take a company you know, call the API, and compare the response against the filing on EDGAR, not against another vendor. That comparison is the only one with an authority behind it.

What I am not going to pretend

I am not going to put Intrinio's prices in a table on my own website. They change, this page would not, and you would be reading a number I had no way to verify at the moment you read it. Go and look at their pricing page. It is the only copy that is current.

I am also not going to tell you their data is bad. I have not audited it and I am not in a position to. What I can tell you is what this service does and how to check it, which is the part I am actually responsible for.

The check that settles it costs you nothing either way: take a company where you already know the answer, call both, and compare each against the filing on EDGAR. Not against each other — against the filing. That is the only comparison that means anything, and it is why the free tier here needs no card.

When to choose each

Choose To Scale

If the number has to be right.

  • Scope is your reason. If you evaluated a platform and realised you wanted one endpoint, a single-purpose API is cheaper and simpler in exactly the way you were hoping.
  • Method is your reason. If you want to know why a figure was chosen, the answer here is one equation and you can test it.
  • Procurement is your reason. Card, self-serve, no call.
Choose Intrinio

If any of these is you.

  • Price alone is your reason. Then compare like for like. A platform doing ten things is not overpriced for doing ten things, and you may just need fewer of them.
  • You need the breadth. Prices, estimates, news, non-SEC coverage: none of that exists here and none is planned.
  • You need vendor guarantees. No SLA, one maintainer.

The method, written out

These pages compare on METHOD because method is the part that stays true. Both of these are the method itself rather than an argument about it, so you can judge the claim rather than take it.