Source Datav1.0

Fundamentals — Core Financial Statements

Name: Fundamentals — Core Financial Statements
Creator: ChinaScope

As-reported core financial statements for A-share listed companies — balance sheet, income statement and cash flow, exactly as each filing disclosed them, with a strict point-in-time guarantee. Two tables: the filing dimension and the as-reported fact panel.

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Fundamentals — Core Financial Statements

fin_statementsSource Data

Daily source stitch · data frontier 2026-10-14

11. Field reference — every column

The full field dictionary — every table, every column, with its type and meaning. One real sample is shown per table (Kweichow Moutai, 600519, Q3 2025 balance sheet).

Table · pick one of 2

`filing`

14 columns · grain (primary key): report_id

Column	Name	Type	Null	Description
`operation`	CDC operation flag	string	yes	A record-maintenance flag marking whether this row was added (A), updated (U), or deleted (D) in the latest delivery, so you can apply incremental changes correctly when keeping your copy in sync.
`report_id` ·PK	Filing / disclosure ID	string	no	ChinaScope's unique identifier for a single filed statement — one company, one fiscal period, one schedule. It is the primary key of this table and the join key that every line item in `as_reported` points back to.
`secu`	Security code	string	yes	ChinaScope's standardized stock code for the filer's listed security; the suffix marks the listing venue (`_SH_EQ` Shanghai, `_SZ_EQ` Shenzhen, `_KC_EQ` STAR Market, `_BJ_EQ` Beijing). Resolves to the security master for ~99.6% of filings; a small pre-listing/provisional tail is `_TEMP`/`_KC`.
`company_id`	Company ID (CSF master)	string	no	ChinaScope's company code; resolves 100% to the company master (`base_company`). This is the company key — aggregate and join on it, not on `secu`.
`publish_date`	Public-record (disclosure) date	date	no	The date the statement was filed and became public — the point-in-time anchor. Filter `publish_date <= D` for a no-look-ahead view as of date `D`.
`report_date`	Report end date	date	no	The fiscal period-end (closing) date the statement covers, e.g. 2025-09-30 for Q3 2025.
`report_period`	Reporting period (month)	string	yes	The period-end month — 3 (Q1), 6 (interim/H1), 9 (Q3), or 12 (annual).
`report_quarter`	Reporting quarter	string	yes	The reporting milestone — Q1, Q2 (interim), Q3, or Q4 (annual).
`fiscal_year`	Fiscal year-end (MM-DD)	string	yes	The month-and-day the company's fiscal year closes; 12-31 for A-shares.
`currency`	Reporting currency	string	yes	The currency in which the statement's figures are denominated (CNY for A-shares).
`rpt_code`	Statement schedule code	string	yes	Which schedule this filing is: 2.1.1 income statement, 2.2.1 balance sheet, 2.3.1 cash flow (main), 2.4.1 cash-flow supplementary (indirect reconciliation), 2.5.1 non-recurring items, 2.6.1 per-share / ROE (§6).
`is_valid`	Valid flag	boolean	yes	A validity flag; a filing must be valid (and carry a non-look-ahead disclosure date) for its line items to be admitted at read time.
`create_time`	Record create timestamp	timestamp	yes	When this record was first created in the dataset.
`update_time`	Record update timestamp	timestamp	yes	When this record was most recently updated.

Sample row:

operation:      A
report_id:      600519_SH_EQCSF00000015982.2.12025-09-30…
secu:           600519_SH_EQ
company_id:     CSF0000001598
publish_date:   2025-10-30
report_date:    2025-09-30
report_period:  9
report_quarter: Q3
fiscal_year:    12-31
currency:       CNY
rpt_code:       2.2.1        (balance sheet)
is_valid:       True

Sourced as-delivered from ChinaScope, with resolved codes and structural links computed by Numinor. Licensing passes through to you; fields are served exactly as the vendor issues them.

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How is it delivered?: Apache Parquet over a signed-URL REST API, the same pipe as Construct Data. The free Matrix sandbox serves a time-delayed view for evaluation.
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Why are some fields free and others cost thousands?: Price tracks non-replicability. Resolved codes and structural links are the moat; machine scores and raw text are cheap; identifier keys are free. Figures are priced per table; codes are charged once per dataset.

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