DATASET · fundamental

Massive 利润表

fundamental.income_statement_massive

财务与估值

这是财务报表、估值与分析师预期中的“Massive 利润表”数据集；一行由 ticker、period_end、timeframe、fiscal_quarter 定位，主要字段包括 cik、filing_date、fiscal_year、revenue、cost_of_revenue。

下载本类 JSON 下载完整 JSON.gz 先获取 Key

字段45

关键字段6

更新口径weekly

时间列filing_date

单页上限5000

分页Cursor

PIT不支持

规模100K-999K

WHAT IT ANSWERS

这张表适合回答什么

比较公司财务与分析师预期
构建基本面筛选和历史回测输入

GRAIN & TIME

一行代表什么

业务粒度: 每行代表“Massive 利润表”的一条记录；逻辑粒度由 cik × period_end × timeframe 共同确定。
时间口径: 以 filing_date 为主要查询时间轴；除下方限制特别说明外，时间戳按 UTC、日期按来源市场日历解释。
更新节奏: 通常每周随上游披露或批处理更新；不是实时数据。

KEY FIELDS

先看这些字段

cik: SEC Central Index Key，用于识别申报主体。
period_end: 用于确定该表业务粒度或默认顺序的 period end 字段。
timeframe: 用于确定该表业务粒度或默认顺序的 timeframe 字段。
ticker: 来源或证券主表使用的股票代码。
fiscal_quarter: 用于确定该表业务粒度或默认顺序的 fiscal quarter 字段。
source: 标准化数据来源；同一业务键可能因来源不同而有多行。

RECOMMENDED JOINS

怎样和其他表关联

该表主要按自身业务键使用，目前没有推荐的跨表主键联接。

HOW TO QUERY SAFELY

查询方法与已知限制

先用 catalog 确认当前契约；可按 catalog 中列出的 filters 进一步缩小范围；单页最多 5000 行，响应有 has_more 时原样传回 next_cursor 继续分页。

返回范围仍受 Friends 权限、单页上限和 catalog 中的筛选契约约束。

MACHINE CONTRACT

筛选、排序与分页

UNVERSIONED

默认排序: ticker, period_end, timeframe, fiscal_quarter, source
唯一键: ticker, period_end, timeframe, fiscal_quarter, source
读取模式: canonical_final_active
最大时间窗: 未单独限制

可用 filters

cik→ cik · string

fiscal_quarter→ fiscal_quarter · integer

fiscal_year→ fiscal_year · integer

provider→ provider · string

source→ source · string

ticker→ ticker · string

POINT IN TIME

可复现读取

NOT AVAILABLE

该资产没有 PIT 契约。普通 rows 端点仍按当前公开读模式返回数据；不要把它表述成历史时点快照。

COPY-READY CALLS

怎么调用

同一数据集可用 HTTP、Python SDK、CLI 或 MCP；Key 始终只通过环境变量/Bearer Header 传递。

READ ONLY

HTTP

curl --fail-with-body -H "Authorization: Bearer $FRIENDS_DATA_API_KEY" "https://api.alphahubs.uk/api/v1/data/datasets/fundamental/income_statement_massive/rows?limit=100&cik=0000320193"

PYTHON SDK

from friends_data_api import FriendsDataClient, Settings

async with FriendsDataClient(Settings.from_env()) as client:
    page = await client.get_dataset_rows('fundamental', 'income_statement_massive', limit=100, filters={'cik': '0000320193'})
    print(page.data)
    if page.has_more:
        print("next cursor:", page.next_cursor)

CLI

friends-data get-dataset-rows fundamental income_statement_massive --limit 100 --filter cik=0000320193

MCP TOOL CALL

{
  "arguments": {
    "dataset": "income_statement_massive",
    "filters": {
      "cik": "0000320193"
    },
    "limit": 100,
    "namespace": "fundamental"
  },
  "tool": "get_dataset_rows"
}

FIELD DICTIONARY

45 个返回字段

descriptionSource 可在 JSON 中区分仓库注释、标准术语表和名称推导说明。

筛选字段

#	字段	ClickHouse 类型	JSON	可空	角色	说明
1	`ticker`	`String`	`string`	no	filter, default_order, warehouse_primary_key, contract_unique_key	Ticker symbol reported by the source or mapped security master.标准术语表
2	`cik`	`String`	`string`	no	filter	SEC Central Index Key identifying the filer.标准术语表
3	`period_end`	`Date`	`string / date`	no	default_order, warehouse_primary_key, contract_unique_key	Source-normalized field: period end.名称推导
4	`filing_date`date	`Nullable(Date)`	`string / date`	yes	time	Date on which the filing was submitted or published.标准术语表
5	`fiscal_quarter`	`UInt8`	`integer`	no	filter, default_order, warehouse_primary_key, contract_unique_key	Source-normalized field: fiscal quarter.名称推导
6	`fiscal_year`	`Nullable(UInt16)`	`integer`	yes	filter	Source-normalized field: fiscal year.名称推导
7	`timeframe`	`LowCardinality(String)`	`string`	no	default_order, warehouse_primary_key, contract_unique_key	Source-normalized field: timeframe.名称推导
8	`revenue`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: revenue.名称推导
9	`cost_of_revenue`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: cost of revenue.名称推导
10	`gross_profit`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: gross profit.名称推导
11	`selling_general_administrative`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: selling general administrative.名称推导
12	`research_development`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: research development.名称推导
13	`other_operating_expenses`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: other operating expenses.名称推导
14	`total_operating_expenses`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: total operating expenses.名称推导
15	`operating_income`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: operating income.名称推导
16	`other_income_expense`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: other income expense.名称推导
17	`total_other_income_expense`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: total other income expense.名称推导
18	`income_before_income_taxes`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: income before income taxes.名称推导
19	`income_taxes`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: income taxes.名称推导
20	`consolidated_net_income_loss`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: consolidated net income loss.名称推导
21	`net_income_loss_attributable_common_shareholders`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: net income loss attributable common shareholders.名称推导
22	`basic_earnings_per_share`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: basic earnings per share.名称推导
23	`diluted_earnings_per_share`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: diluted earnings per share.名称推导
24	`basic_shares_outstanding`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: basic shares outstanding.名称推导
25	`diluted_shares_outstanding`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: diluted shares outstanding.名称推导
26	`ebitda`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: ebitda.名称推导
27	`extra_json`	`String`	`string`	no	value	Source-normalized field: extra json.名称推导
28	`publish_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC point-in-time availability timestamp used by PIT reads.标准术语表
29	`source_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	Timestamp asserted by the upstream source.标准术语表
30	`ingested_at`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC timestamp when the source record entered the warehouse.标准术语表
31	`source`	`LowCardinality(String)`	`string`	no	filter, default_order, warehouse_primary_key, contract_unique_key, provenance	Normalized upstream source identifier.标准术语表
32	`provider`	`LowCardinality(String)`	`string`	no	filter, provenance	Upstream data provider identifier.标准术语表
33	`source_url`	`String`	`string`	no	provenance	URL of the upstream evidence or record when distributable.标准术语表
34	`source_record_id`	`String`	`string`	no	provenance	Provider-side identifier for the source record.标准术语表
35	`raw_payload_hash`	`String`	`string`	no	provenance	Opaque fingerprint of the normalized source payload for provenance checks.标准术语表
36	`parser_version`	`LowCardinality(String)`	`string`	no	provenance	Version of the parser or normalizer that produced the row.标准术语表
37	`quality_status`	`LowCardinality(String)`	`string`	no	provenance	Machine-readable data-quality classification.标准术语表
38	`license_scope`	`LowCardinality(String)`	`string`	no	provenance	License or redistribution scope attached to the row.标准术语表
39	`visibility_tier`	`LowCardinality(String)`	`string`	no	provenance	Serving visibility tier attached to the row.标准术语表
40	`ingest_run_id`	`String`	`string`	no	provenance	Identifier of the ingestion run that produced the row.标准术语表
41	`version`	`UInt64`	`integer`	no	provenance	Monotonic row version used for correction-aware reads.标准术语表
42	`version_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	provenance	UTC timestamp associated with the row version.标准术语表
43	`is_deleted`	`UInt8`	`integer`	no	value	Soft-delete marker; public serving excludes current tombstones.标准术语表
44	`created_at`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	value	UTC timestamp when the warehouse row was first created.标准术语表
45	`updated_at`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	value	UTC timestamp when the warehouse row was last updated.标准术语表

字典口径

结构来自 Friends 只读身份可见的真实 serving relation；权限、过滤、排序、PIT 与分页来自可执行 DatasetSpec。Schema observed at 2026-10-06T18:08:52Z。