Company Funding Rounds

Introduction

Returns the funding rounds in which a company appears as the target - that is, the rounds in which it raised capital. Each row is a single deal with its date, stage, amounts (raised and post-money valuation), implied multiples, a written synopsis, and the lead investors who participated. Use this endpoint to build a company's fundraising history or to pull the valuation and round-size trajectory for a private company. For M&A deals where the company was acquired, use companies/{id}/acquisitions; for deals it made as an investor, use companies/{id}/investments.

Set up

Endpoint

GET https://multiples.vc/api/private/v1/companies/{id}/fundings

Request

The company is identified by the {id} path parameter (its UUID). Rows are returned newest first and paginated with page / limit.

param	in	type	description
`id`	path	string (uuid)	Required. The company UUID. Resolve a name to an ID with `companies/resolve` if you only have the name.
`page`	query	integer	1-indexed page number (offset pagination). Default `1`, minimum `1`.
`limit`	query	integer	Page size. Default `100`, maximum `1000`.

Get all funding rounds for a company (default page size):

GET /companies/f7a9cdb5-1da4-4970-b071-fb887bea2232/fundings

Get a single page of results (page 1, 2 rows):

GET /companies/f7a9cdb5-1da4-4970-b071-fb887bea2232/fundings?page=1&limit=2

Response

{
  "data": [
    {
      "id": "25fc15d9-3be7-4a78-a507-d4ba4e8124e4",
      "deal_date": "2025-12-16",
      "deal_type": "Growth",
      "deal_subtype": "Undisclosed stage",
      "deal_synopsis": "Databricks, a data and AI company, raised over $4 billion in a Series L funding round on December 16, 2025, valuing the company at $134 billion post-money. The round was led by Insight Partners, Fidelity Management & Research Company, and J.P. Morgan Asset Management, with participation from Blackstone, Coatue, NEA, T. Rowe Price, Winslow Capital, and others including Andreessen Horowitz, BlackRock, GIC, MGX, Ontario Teachers Pension Plan, Robinhood Ventures, Temasek, and Thrive Capital.\nAt the time of the announcement, Databricks reported a $4.8 billion revenue run-rate during its third fiscal quarter, growing over 55% year-over-year, with positive free cash flow over the last 12 months. The company achieved over $1 billion run-rate revenue from its Data Warehousing business and over $1 billion from its AI products, sustaining a net retention rate above 140% and serving more than 700 customers with over $1 million annual revenue run-rate each.\nThe funding supports acceleration of products like Lakebase (a serverless Postgres database for AI), Databricks Apps, and Agent Bricks for building data-intelligent applications, amid strong enterprise adoption by over 20,000 organizations including more than 60% of the Fortune 500.",
      "deal_valuation": 134000,
      "deal_raised": 4000,
      "deal_revenue": 4800,
      "deal_ebitda": null,
      "deal_multiples": {
        "ev_revenue": 27.916666666666668,
        "ev_ebitda": null
      },
      "target": {
        "id": "f7a9cdb5-1da4-4970-b071-fb887bea2232",
        "name": "Databricks",
        "short_name": "Databricks",
        "website": "https://www.databricks.com",
        "country": "USA"
      },
      "buyers": [],
      "lead_investors": [
        {
          "id": "30dfe78d-42ac-4359-90b3-a74fa16672ab",
          "name": "Fidelity",
          "country": "USA",
          "website": "https://www.fidelity.com",
          "short_name": "Fidelity"
        },
        {
          "id": "c7e9c1a4-65b7-4abc-80bc-0b4b9a848679",
          "name": "Insight Partners",
          "country": "USA",
          "website": "http://www.insightpartners.com",
          "short_name": "Insight Partners"
        },
        {
          "id": "46205326-2912-42c4-803b-c22c49ea1877",
          "name": "JPMorgan Asset Management",
          "country": "AUS",
          "website": "https://am.jpmorgan.com",
          "short_name": "JPMorgan Asset Management"
        }
      ],
      "created_at": "2026-03-02T20:07:44.978066+00:00",
      "updated_at": "2026-03-02T20:07:44.978066+00:00",
      "deleted": false
    },
    {
      "id": "3423649c-d8c1-438c-91cc-31d5332261cf",
      "deal_date": "2025-09-08",
      "deal_type": "Growth",
      "deal_subtype": "Series J",
      "deal_synopsis": "Databricks, a data and AI company providing a platform for machine learning, analytics, and AI applications on enterprise data, closed its Series K funding round on September 8, 2025, raising $1 billion at a $100 billion post-money valuation. The round was co-led by Andreessen Horowitz, Insight Partners, MGX, Thrive Capital, and WCM Investment Management, matching the specified investors. This valuation marks a significant increase from prior rounds, including $62 billion in December 2024 and earlier raises totaling over $20 billion.\nThe funding supports acceleration of Databricks' AI strategy, including expansion of Agent Bricks for building production AI agents, the new Lakebase operational database category optimized for AI agents, global growth, AI acquisitions, and research. At the time of the announcement, Databricks reported surpassing a $4 billion revenue run-rate in Q2 2025, growing over 50% year-over-year, with AI products exceeding $1 billion revenue run-rate. Additional traction includes positive free cash flow over the last 12 months, net retention rate over 140%, and more than 650 customers with over $1 million annual revenue run-rate.\nThe round was oversubscribed, reflecting strong investor interest amid booming demand for AI apps and agents, positioning Databricks as one of the world's most valuable private companies alongside SpaceX and ByteDance.",
      "deal_valuation": 100000,
      "deal_raised": 1000,
      "deal_revenue": 4000,
      "deal_ebitda": null,
      "deal_multiples": {
        "ev_revenue": 25,
        "ev_ebitda": null
      },
      "target": {
        "id": "f7a9cdb5-1da4-4970-b071-fb887bea2232",
        "name": "Databricks",
        "short_name": "Databricks",
        "website": "https://www.databricks.com",
        "country": "USA"
      },
      "buyers": [],
      "lead_investors": [
        {
          "id": "8433767b-a7ba-48a0-b509-49131878380b",
          "name": "Andreessen Horowitz",
          "country": "USA",
          "website": "http://www.a16z.com",
          "short_name": "Andreessen Horowitz"
        },
        {
          "id": "c7e9c1a4-65b7-4abc-80bc-0b4b9a848679",
          "name": "Insight Partners",
          "country": "USA",
          "website": "http://www.insightpartners.com",
          "short_name": "Insight Partners"
        },
        {
          "id": "0cf9627c-105e-4227-9448-61db9b3c1dd9",
          "name": "MGX",
          "country": "ARE",
          "website": "https://www.mgx.ae",
          "short_name": "MGX"
        },
        {
          "id": "c68aa2fe-2e22-4f08-ac33-503b3930179a",
          "name": "Thrive Capital",
          "country": "USA",
          "website": "http://thrivecap.com",
          "short_name": "Thrive Capital"
        },
        {
          "id": "04623bd8-662d-4514-b9f2-1a8ac5caa2a2",
          "name": "WCM Investment Management",
          "country": "USA",
          "website": "http://www.wcminvest.com/",
          "short_name": "WCM Investment Management"
        }
      ],
      "created_at": "2026-03-02T20:07:38.995787+00:00",
      "updated_at": "2026-03-02T20:07:38.995787+00:00",
      "deleted": false
    },
    {
      "id": "e63fd87e-235c-4722-b833-3470f326541f",
      "deal_date": "2025-01-02",
      "deal_type": "Growth",
      "deal_subtype": "Undisclosed stage",
      "deal_synopsis": "Databricks, a data intelligence platform specializing in data and AI solutions, raised more than $4 billion in a Series L funding round at a $134 billion post-money valuation on December 16, 2025. The round was led by Insight Partners, Fidelity Management & Research Company, and J.P. Morgan Asset Management, with participation from Andreessen Horowitz, BlackRock, Blackstone, and others. This marks the third major fundraise in under a year, following a Series K at over $100 billion valuation.\nThe company reported a $4.8 billion revenue run-rate in Q3 2025, up over 55% year-over-year, with more than $1 billion from AI products and over $1 billion from its Data Warehousing business. It also achieved positive free cash flow over the last 12 months, net retention rate above 140%, and over 700 customers with more than $1 million annual run-rate revenue.\nProceeds will advance strategic products like Lakebase (serverless Postgres database for AI), Databricks Apps, and Agent Bricks (AI agent platform), while providing employee liquidity and supporting AI acquisitions.",
      "deal_valuation": 134000,
      "deal_raised": 1567.9,
      "deal_revenue": 4800,
      "deal_ebitda": null,
      "deal_multiples": {
        "ev_revenue": 27.916666666666668,
        "ev_ebitda": null
      },
      "target": {
        "id": "f7a9cdb5-1da4-4970-b071-fb887bea2232",
        "name": "Databricks",
        "short_name": "Databricks",
        "website": "https://www.databricks.com",
        "country": "USA"
      },
      "buyers": [],
      "lead_investors": [],
      "created_at": "2026-03-02T20:07:24.17421+00:00",
      "updated_at": "2026-03-02T20:07:24.17421+00:00",
      "deleted": false
    }
  ],
  "meta": {
    "page": 1,
    "limit": 3,
    "returned": 3,
    "total": 13,
    "has_more": true
  }
}

Notes on the example: all fields are shown as returned (absent values are null, never dropped). In live responses, deal_date, deal_type, deal_subtype, deal_synopsis, deal_valuation, deal_raised, deal_revenue, deal_ebitda, the two deal_multiples values, and lead_investors may each be null or empty for a given round. buyers is always empty for funding rounds - acquirers appear only in companies/{id}/acquisitions.

Fields

Each item in data is a deal object. All monetary amounts are in millions of USD.

Deal

field	type	description
`id`	string (uuid)	Unique deal identifier.
`deal_date`	string (date) \| null	Date the round closed/was announced. May be null.
`deal_type`	string \| null	High-level deal category; may be `null`. Common values include `Early`, `Growth`, `Public listing`, `Secondary`, and `Venture` (non-exhaustive - this endpoint returns every non-M&A deal type).
`deal_subtype`	string \| null	More specific stage label (e.g. `Series J`, `Undisclosed stage`). May be null.
`deal_synopsis`	string \| null	Narrative summary of the round, including context, terms, and company financials at the time.
`deal_valuation`	number \| null	Post-money valuation implied by the round (millions USD).
`deal_raised`	number \| null	Amount raised in the round (millions USD).
`deal_revenue`	number \| null	Target revenue at the time of the deal (millions USD).
`deal_ebitda`	number \| null	Target EBITDA at the time of the deal (millions USD).
`deal_multiples`	object	Valuation multiples implied by the deal (see below).
`target`	object \| null	The company that raised the round (see Company reference).
`buyers`	array	Acquirers. Always empty for funding rounds; populated only for M&A deals.
`lead_investors`	array	Ordered list of lead investors in the round (see Company reference).
`created_at`	string (date-time) \| null	When the deal record was created (UTC).
`updated_at`	string (date-time) \| null	Timestamp of the last update to this record (UTC).
`deleted`	boolean	Always `false` for this endpoint - soft-deleted records are excluded (this endpoint has no change-feed mode).

Deal_multiples

field	type	description
`ev_revenue`	number \| null	EV / revenue multiple implied by the deal, where available.
`ev_ebitda`	number \| null	EV / EBITDA multiple implied by the deal, where available.

Target / Lead_investors (company reference)

Minimal company references used in the nested target object and lead_investors / buyers arrays.

field	type	description
`id`	string (uuid)	Company identifier. Use it with `companies/{id}` for the full profile.
`name`	string \| null	Company display name.
`short_name`	string \| null	Short display name.
`website`	string \| null	Company website URL.
`country`	string \| null	ISO 3166-1 alpha-3 country code (e.g. `USA`, `ARE`).

Meta (pagination)

field	type	description
`page`	integer	1-indexed page number echoed back.
`limit`	integer	Page size used.
`returned`	integer	Number of rows in this response.
`total`	integer \| null	Total funding rounds matching the query.
`has_more`	boolean	`true` when further pages remain.

Company Profile

Company Acquisitions