Multiples API

Company Funding Rounds

Introduction

Returns the funding rounds in which a company was acquired or invested in (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}/sellside; for deals it made as an investor, use companies/{id}/buyside.

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.

paramintypedescription
idpathstring (uuid)Required. The company UUID. Resolve a name to an ID with companies/resolve if you only have the name.
pagequeryinteger1-indexed page number (offset pagination). Default 1, minimum 1.
limitqueryintegerPage 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

fieldtypedescription
idstring (uuid)Unique deal identifier.
deal_datestring (date) | nullDate the round closed/was announced. May be null.
deal_typestring | nullHigh-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_subtypestring | nullMore specific stage label (e.g. Series J, Undisclosed stage). May be null.
deal_synopsisstring | nullNarrative summary of the round, including context, terms, and company financials at the time.
deal_valuationnumber | nullPost-money valuation implied by the round (millions USD).
deal_raisednumber | nullAmount raised in the round (millions USD).
deal_revenuenumber | nullTarget revenue at the time of the deal (millions USD).
deal_ebitdanumber | nullTarget EBITDA at the time of the deal (millions USD).
deal_multiplesobjectValuation multiples implied by the deal (see below).
targetobject | nullThe company that raised the round (see Company reference).
buyersarrayAcquirers. Always empty for funding rounds; populated only for M&A deals.
lead_investorsarrayOrdered list of lead investors in the round (see Company reference).
created_atstring (date-time) | nullWhen the deal record was created (UTC).
updated_atstring (date-time) | nullTimestamp of the last update to this record (UTC).
deletedbooleanAlways false for this endpoint - soft-deleted records are excluded (this endpoint has no change-feed mode).

Deal_multiples

fieldtypedescription
ev_revenuenumber | nullEV / revenue multiple implied by the deal, where available.
ev_ebitdanumber | nullEV / 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.

fieldtypedescription
idstring (uuid)Company identifier. Use it with companies/{id} for the full profile.
namestring | nullCompany display name.
short_namestring | nullShort display name.
websitestring | nullCompany website URL.
countrystring | nullISO 3166-1 alpha-3 country code (e.g. USA, ARE).

Meta (pagination)

fieldtypedescription
pageinteger1-indexed page number echoed back.
limitintegerPage size used.
returnedintegerNumber of rows in this response.
totalinteger | nullTotal funding rounds matching the query.
has_morebooleantrue when further pages remain.

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