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  • Physical properties
  • Products, services, and brands

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  • Legal proceedings
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Use casesResponse schemaExample datasetPlayground
Developers›Docs›Acquisitions

Acquisitions

Distinct acquisition entries and disclosure status from the filing's acquisition disclosures.

Category
Business
Forms
10-K
Use casesResponse schemaExample datasetPlayground

Use cases#

  • Review acquisition records captured from the filing.
  • Distinguish itemized acquisitions from general-only disclosure.

Response schema#

Fields 30

Field pathTypeDescription
disclosure_status#
required
object

3-state acquisitions disclosure status with evidence.

'specific_acquisitions_disclosed' = at least one identifiable acquisition is described — a named target, OR a concrete aggregate count of unnamed immaterial businesses (e.g. Cintas '7 businesses in Uniform Rental'); populate acquisitions[]. 'general_only' = only generic M&A-strategy language with NO identifiable deal or count (e.g. Vertex: 'we seek to acquire technologies, products... that are aligned with our strategies' with no specific transaction in the period); acquisitions is null. 'none_disclosed' = no acquisition content at all; acquisitions is null. A filing with BOTH generic strategy language AND >=1 specific deal is 'specific_acquisitions_disclosed'.

disclosure_status.value#
required
string

Value

disclosure_status.evidence#
required
object

Evidence object. Never null.

disclosure_status.evidence.quote#
required
string| null

Verbatim excerpt from the filing proving this entry. Use the shortest contiguous source span; no translation. null when there is no textual basis.

disclosure_status.evidence.reasoning#
required
string

How the quote maps to the entry. For null decisions, explain the basis (Not disclosed / Not applicable / Indeterminable / Scope limitation).

acquisitions#
required
array| null
items: object

One entry per distinct acquisition. null for general-only or no disclosure; never use an empty array.

acquisitions[].target_name#
required
string| null

Proper noun of the acquired company, brand, or asset, verbatim. null only for an aggregate of unnamed businesses whose count is set; never invent a name.

acquisitions[].count#
required
integer| null

Number of businesses represented by an unnamed aggregate entry. null for a single named acquisition. This is a row count, not a Measurement.

acquisitions[].segment#
required
string| null

Reportable operating segment for the acquisition, verbatim, when stated; null otherwise.

acquisitions[].status#
required
string

Deal status as of the filing: completed, announced, pending, terminated, or unknown when it cannot be determined.

acquisitions[].acquisition_type#
required
string

Accounting treatment when stated: business combination, asset acquisition, another stated structure, or unknown.

acquisitions[].ownership_stake#
required
object| null

Percentage stake acquired as {value, unit}, or null when no stake is stated. For a qualitative-only stake, use null fields and preserve the phrase in ownership_description.

acquisitions[].ownership_stake.value#
required
number| null

Percentage value as written (60 for '60%'). null when the stake is qualitative only.

acquisitions[].ownership_stake.unit#
required
string| null

'percent' when value is present; null for a qualitative-only stake.

acquisitions[].ownership_description#
required
string| null

Verbatim qualitative stake phrase when no percentage is given. Do not put a description of what was acquired here; null when a percentage is captured or no stake is stated.

acquisitions[].events#
required
array| null
items: object

Chronological dated steps for this acquisition. null when the filing gives no dated step.

acquisitions[].events[].event_date#
required
string| null

ISO 8601 full or partial date of the step. Preserve only the precision stated and do not infer a missing day or month. null when no date is stated.

acquisitions[].events[].description#
required
string

Short English label for the step, such as 'Agreement signed' or 'Acquisition completed'.

acquisitions[].amounts#
required
array| null
items: object

Monetary figures directly tied to this acquisition, one entry per distinct figure. null when the filing states no amount.

acquisitions[].amounts[].type#
required
string

What the figure represents. Use the most specific consideration label supported by the filing; use 'other' for another acquisition-related figure.

acquisitions[].amounts[].value#
required
number| null

Numeric figure as written, in the units of unit and magnitude of scale. null only when the filing references it qualitatively without a number.

acquisitions[].amounts[].unit#
required
string| null

Currency code inferred from the symbol or reporting currency. null when undeterminable.

acquisitions[].amounts[].scale#
required
string| null

Magnitude word such as 'thousands', 'millions', or 'billions'; null when the value is absolute.

acquisitions[].amounts[].evidence#
required
object

Evidence object. Never null.

acquisitions[].amounts[].evidence.quote#
required
string| null

Verbatim excerpt from the filing proving this entry. Use the shortest contiguous source span; no translation. null when there is no textual basis.

acquisitions[].amounts[].evidence.reasoning#
required
string

How the quote maps to the entry. For null decisions, explain the basis (Not disclosed / Not applicable / Indeterminable / Scope limitation).

acquisitions[].description#
required
string

One or two English sentences explaining what the target does and the stated strategic rationale. This is a summary, not a verbatim quote.

acquisitions[].evidence#
required
object

Evidence object. Never null.

acquisitions[].evidence.quote#
required
string| null

Verbatim excerpt from the filing proving this entry. Use the shortest contiguous source span; no translation. null when there is no textual basis.

acquisitions[].evidence.reasoning#
required
string

How the quote maps to the entry. For null decisions, explain the basis (Not disclosed / Not applicable / Indeterminable / Scope limitation).

Example dataset#

An illustrative example for acquisitions. Use it to see the shape of the data before running a live request.

Top-level fields in the example dataset
FieldSummary
disclosure_statusitemized
acquisitions1 item

Playground#

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Related

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  • Physical properties
  • Products, services, and brands

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