Every number on the platform, traceable to where it came from
We build our datasets ourselves. Filings are parsed in-house, operating metrics are curated by our own equity research analysts, and our sector and industry classification is our own work. This page sets out where each dataset comes from and what you can do with it.
Where each dataset comes from
Five origins account for everything on the platform: regulatory filings we parse ourselves, company documents our analysts read by hand, licensed market data, published official statistics, and our own classification work.
Source 01
SEC filings, parsed in-house
18M+ filings from 1993 onwards, with delisted and acquired companies retained — no survivorship bias.
We take filings directly from the SEC and build the datasets from them ourselves. Every figure you pull carries a path back to the document it came out of, which makes the whole dataset auditable down to the filing.
- Income statement
- Balance sheet
- Cash flow statement
- Segment financials
- Corporate actions
- Dividends
- Splits
- IPOs
- Filing documents & exhibits
- Extracted filing items
- Insider ownership
- Institutional ownership
That gives you complete fundamental statements, segment breakdowns, the full corporate actions history including dividends, splits and IPOs, an indexed archive of documents and exhibits, item-level extractions from 10-K, 10-Q, 20-F and 8-K forms, insider ownership from Forms 3, 4 and 5, and institutional ownership including fund-level N-PORT holdings.
Because the archive keeps companies that have since delisted or been acquired, a backtest or a historical industry aggregate reflects the market as it actually was.
Source 02
Company and KPI Data
Standardised financial statements and ratios, plus over 20,000 operating and KPI metrics mapped to consistent definitions.
Financial statements and ratios. We built our own industry templates and use them to extract statements, financial data and ratios straight from SEC filings, so every line item is standardised and normalised to the same definition regardless of how an individual company chose to label it. That is what makes one company's figures comparable with the next, and with an industry aggregate.
- Income statement
- Balance sheet
- Cash flow statement
- Financial ratios
- Growth metrics
We parse 6-K and 8-K filings as well, and results reach the site within 10 minutes of coming out.
Operating and KPI metrics. Store counts, deliveries by model, churn, subscriber numbers, take rates, capacity, backlog, average revenue per user, adjusted non-GAAP measures — the operating detail that drives a thesis sits in company documents rather than in a standard tag.
Our equity research analysts read each company's own disclosures and pull those numbers out one by one:
- Earnings presentations
- Investor slide decks
- Earnings call transcripts
- SEC filings
- Supplementary materials
Each metric is mapped to a consistent definition and lined up across quarters and years, so a KPI you pull for one company means the same thing as the same KPI on the next, and a series holds together across a decade. Paid plans also include the right to request new US-listed companies and their KPIs each month, so you can extend coverage to the names you actually follow. Browse what is already there in KPI & operating metrics.
Source 03
Market data
Real-time and historical price quotes across the platform and the API.
Price quotes are sourced under licence from authorised market data vendors, and are available on the platform and through the quotes API. Real-time streaming is available over websockets, with the number of simultaneous tickers set by your plan.
Source 04
Economic data
Macro indicators, on the release schedule the market works to.
Our economic data is built from official published releases. We collect each indicator as it is released and keep its revision history, so you can see what a series looked like at the time as well as what it says now. Names, units and frequencies are normalised, which makes a series comparable over time and against other indicators without any preparation on your side.
The same series are available through the economic data API.
Source 05
Business Quant Multi-Industry Classification System
BQ-MICS — 11 sectors, 72 industry groups and 240 industries, maintained in-house.
Every company on the platform is classified under our own taxonomy, built and maintained by our equity research team. A company is tagged in each industry it genuinely operates in, with one tag marked primary — so you can aggregate to a single clean industry when you want tidy totals, and see a company's full set of businesses when you want real exposure.
That granularity is what lets you build precise peer sets and industry aggregates: 240 industries across 11 sectors, with a defined boundary for each one so it is always clear what a group contains.
The complete methodology and every sector, industry group and industry definition are published in full:
Classification methodology & definitions (PDF)
Read more about BQ-MICS, which is also available to license on its own.
Built to institutional standards, end to end
Owning every stage of the process — collection, structuring, definition and classification — is what lets us hold the whole dataset to one standard.
Auditable
Every figure traces to a filing
Each reported number carries a path back to the document it was taken from. When a company restates, the restatement flows through with it, so a series reflects the current filed position and its history rather than a snapshot frozen at first publication.
Consistent
One definition, across every company
Line items, operating metrics and industry assignments are standardised to a single set of definitions. A metric means the same thing on the tenth company as it did on the first, and the same thing ten years back as it does this quarter, so comparisons hold without adjustment on your side.
Complete
The full market, including what left it
Companies that have delisted, been acquired or gone private stay in the archive with their history intact. Backtests, industry aggregates and long-run studies run against the market as it actually was, not against the subset that happens to have survived.
What you can do with the data
The underlying regulatory documents belong to their issuers. Our work — the parsing, the structuring, the analyst curation, the definitions, the classification taxonomy and the compiled databases that result — is Business Quant's own intellectual property, protected by copyright and database rights. A subscription grants you a licence to use it.
A standard subscription covers internal research and analysis for your licensed seats. Extracts in your own work — a chart in a memo, a figure in a research note, a table in a client presentation — are welcome, with attribution to Business Quant.
Redistributing the data, displaying it publicly as a feed, embedding it in a product, or building a dataset on top of it needs a separate licence. Those licences are available and are priced for the use case, and since the terms are ours to set they can be shaped around what you are building. Tell us the use case and we will quote it.
For programmatic access, the API is included with every plan and is the supported route: documented, fast, and covered by your subscription. The full position on permitted use is set out in our terms of use.
Put it to work
Browse the platform on a free account, pull the same data through the API, or talk to us about a licence that covers display or redistribution.