Company Funding Data: Where to Find It and How to Choose

Where to get company funding data for your task

Company funding data connects a business to financing events: the round, disclosed amount, date, and investors. The right source depends on whether you need a new company list, transaction research, bulk records, or the history of a company you already know.

Choose between finding companies you do not yet know and adding funding history to companies you already have. The inputs and required product capabilities differ.

• Find recently funded companies in a market. Output you need: Events filtered by date, sector, geography, and round. Where to start: A searchable platform such as Crunchbase or a funding-event service.

• Study transactions and investor relationships. Output you need: Company, financing, deal, and investor context. Where to start: A private-market research platform such as PitchBook.

• Analyze a large collection of records. Output you need: Licensed files with stable field definitions. Where to start: A dataset provider offering the required history and record granularity.

• Research an existing domain list. Output you need: Matched company funding histories. Where to start: A documented known-company lookup, such as LeadMagic through Glasser.

A list with one row per company helps a sales team organize accounts. A list with one row per financing event helps an analyst separate rounds over time. Ask to see the actual output before selecting an access plan: a company profile with a “last funding” field may not supply every historical round.

For institutional research, check resources available through your own library. Stanford's research guide separates general deal research from large-dataset access and documents download limits. Its institution-specific access arrangements do not establish public access for everyone.

Product descriptions were checked against official sources on September 30, 2026. We did not purchase vendor access or benchmark coverage.

Compare funding databases, event feeds, and files

The following is an editorial shortlist by task. It does not rank vendor accuracy or claim a complete market comparison.

• Crunchbase. Task fit: Discover and research private companies. Documented access or delivery: Company platform and licensed API. Question that decides fit: Can your plan search and return the funding fields you need?

• PitchBook. Task fit: Research deals in private-market context. Documented access or delivery: Platform, on-demand API, scheduled feeds. Question that decides fit: Is the required deal universe and detail licensed?

• Dealroom. Task fit: Research startups and technology ecosystems. Documented access or delivery: Company, investor, location, and funding research. Question that decides fit: Does access cover your target ecosystem and required export?

• Intellizence. Task fit: Receive and filter funding-event intelligence. Documented access or delivery: Web app and REST API; data dictionary. Question that decides fit: Which announcements, date fields, and historical periods are included?

• Coresignal. Task fit: Obtain company funding attributes for analysis. Documented access or delivery: Funding page describes JSON/JSONL flat files. Question that decides fit: Are records company summaries or the event-level history your model needs?

• LeadMagic through Glasser. Task fit: Enrich known company domains. Documented access or delivery: Documented domain-to-funding-history operation. Question that decides fit: Does the current endpoint output match your required history?

Crunchbase: full API access requires an Enterprise or Applications license; Basic access is limited. Verify API scope separately from a browser subscription.

PitchBook: its Direct Data documentation distinguishes scheduled feeds from on-demand API calls. A recurring warehouse import and an occasional company lookup need different delivery arrangements.

Dealroom: the official platform presents startup and ecosystem research. Check your sector, geography, history, and export requirements against the proposed access.

Intellizence: the funding dataset page describes deal filtering, a REST API, company-domain enrichment, and daily dataset refresh. That stated refresh schedule does not establish how quickly every announcement is captured. Ask to inspect the event dates and source records relevant to your workflow.

Coresignal: its funding-data page describes funding dates, rounds, amounts, and flat-file delivery. Request a sample with the fields and granularity needed for your analysis before designing an event table around it.

Glasser: the documented LeadMagic example takes a known company domain. Use it to investigate an existing shortlist. Market-wide discovery such as “all SaaS firms funded this month” is outside what this example verifies. Inspect the current operation and price through Glasser's search, inspect, then run workflow; the historical example price is not a current quote.

Build a list of recently funded companies

Suppose your task is: “Find US software companies that announced Seed or Series A equity funding in September 2026.” This is a hypothetical research brief. Translate it into a reproducible set of conditions before querying a source:

• Date: announcement date from September 1 inclusive to October 1 exclusive. Use that meaning consistently; a database's last-updated timestamp answers a different question.
• Company geography: the source's company-location field, with its definition recorded. An investor's address should not select the company into this cohort.
• Sector and stage: the source's software classification and Seed/Series A categories. Review how it handles convertible instruments, extensions, and missing stages.
• Required output: company name/domain, event identifier where available, stage, amount/currency or undisclosed status, announcement date, investors, and source reference.

Choose a source whose documented filters and output support these conditions. If a condition must be applied after retrieval, record that transformation. These are research requirements, not interchangeable API parameter names.

Keep events before collapsing to companies

The following simplified records are fictional:

• Cedar Metrics. Event: Seed equity. Announcement: September 8. Amount: USD 3 million. Action for this cohort: Include the event after source review.

• Cedar Metrics. Event: Same round reported again. Announcement: September 10. Amount: USD 3 million. Action for this cohort: Review as a duplicate report; preserve both source references.

• North Quay Software. Event: Series A equity. Announcement: September 17. Amount: Undisclosed. Action for this cohort: Include if the event meets the criteria; leave amount unknown.

• Harbour Systems. Event: Debt facility. Announcement: September 22. Amount: USD 5 million. Action for this cohort: Exclude from this equity-round cohort.

Do not add the two Cedar reports into USD 6 million merely because they have different publication dates. If the source establishes that they describe the same event, retain one event with both references. If the identity remains unclear, flag it before summing amounts.

For a sales list, group qualifying events by confirmed company identity and retain the event history behind each account. For a recurring update, compare stable event identifiers where supplied and distinguish new events from corrections to existing records. This is suggested downstream processing; it is not a claim that Glasser schedules monitoring or deduplication.

Before committing to a subscription, check company matching, event coverage, and required fields against several independently known announcements. A small chosen sample supports your purchase decision without establishing a universal vendor accuracy rate.

Read funding rounds without mixing incompatible numbers

A financing amount, cumulative funding, and company valuation answer different questions. Preserve the source's definition before comparing totals.

Consider this fictional research example:

• Seed equity round. Amount disclosed: USD 3 million. Date in your source: March announcement. Interpretation: One equity financing event.

• Series A. Amount disclosed: USD 12 million. Date in your source: Later announcement. Interpretation: A separate equity round.

• Debt facility. Amount disclosed: USD 5 million. Date in your source: Facility announcement. Interpretation: A different financing category.

• Company valuation. Amount disclosed: USD 60 million. Date in your source: Reported with Series A. Interpretation: A company value figure, outside the funding sum.

The two disclosed equity rounds sum to USD 15 million. Adding the debt figure produces USD 20 million across those disclosed categories. A database showing a different total may use different inclusion rules. The USD 60 million valuation should remain a separate field.

When the source reports multiple currencies, retain the original amounts. Any conversion requires a stated exchange-rate source and date; without that choice, an apparently precise cross-currency total can be misleading.

Round extensions also require care. A later announcement may report an additional tranche, an updated round total, or a restatement of an earlier figure. Inspect the source language before adding the figures together. Keep unresolved relationships visible rather than manufacturing one final total.

Finally, a missing amount is unknown. A new record in your feed can describe an old event, and a new announcement does not by itself establish the company's current cash balance or purchasing budget. This guide concerns data selection and interpretation, not investment valuation or recommendations.

Compare access costs using the same research task

Request pricing for the exact access path you will use. Useful questions include:

• Does the quoted package include browser seats, exports, an API, a scheduled feed, or a combination?
• Which entities, fields, markets, and historical periods are included?
• What limits apply to discovery searches, record retrieval, and exports?
• Can the team retain records and use them in its intended internal or customer-facing application?
• How are refreshes, corrections, and missing records handled?

Crunchbase's explicit API license requirement and PitchBook's separate Direct Data delivery options are reasons to ask these questions early. A headline subscription figure gives little information about the cost of your particular research workflow.

For a Glasser operation, its official model is to search for an endpoint, inspect the contract, then run it. Compare the published unit and outcome-specific charging rules before estimating volume. Do not assume that all database products in this article are available through Glasser.

An editorial budgeting approach is to add access fees, usage charges, integration work, and review effort for the same defined task. If one proposal covers 1,000 existing domains and another includes continuous market discovery, describe that scope difference before comparing totals.

For company registration or basic firmographic access with a free-data requirement, the free company information API guide addresses a different shortlist.

Questions about company funding data

Can I obtain funding information for free?

Company and investor announcements can support free, manual research. Check each source's terms separately for bulk exports or API access.

Does an empty funding history mean a company never raised money?

An empty result means that source returned no history for the lookup. Check company matching, coverage, and undisclosed financing before drawing conclusions.

How should I keep a funding list current?

Record both the event date and when you retrieved it. Incorporate supplier corrections and backfilled events, and check duplicates before adding rounds.