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STATE STREET CORP: stockholders equity

Stockholders equity for STATE STREET CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All STATE STREET CORP financial histories

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2006-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Stockholders equity in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3127,841,000,000USD2026-02-1910-K · 0000093751-26-000124
At date2024-12-3125,326,000,000USD2026-02-1910-K · 0000093751-26-000124
At date2023-12-3123,799,000,000USD2026-02-1910-K · 0000093751-26-000124
At date2022-12-3125,191,000,000USD2026-02-1910-K · 0000093751-26-000124
At date2021-12-3127,363,000,000USD2025-02-1310-K · 0000093751-25-000111
At date2020-12-3126,200,000,000USD2024-02-1510-K · 0000093751-24-000498
At date2019-12-3124,431,000,000USD2023-02-1610-K · 0000093751-23-000489
At date2018-12-3124,737,000,000USD2022-02-1710-K · 0000093751-22-000424
At date2017-12-3122,270,000,000USD2021-02-1910-K · 0000093751-21-000476
At date2016-12-3121,193,000,000USD2020-02-2010-K · 0000093751-20-000684
At date2015-12-3121,103,000,000USD2019-02-2110-K · 0000093751-19-000336
At date2014-12-3121,328,000,000USD2018-02-2610-K · 0000093751-18-000308
At date2013-12-3120,248,000,000USD2017-02-1710-K · 0000093751-17-000249
At date2012-12-3120,825,000,000USD2016-02-1910-K · 0000093751-16-000446
At date2011-12-3119,398,000,000USD2015-02-2010-K · 0000093751-15-000042
At date2010-12-3117,787,000,000USD2014-02-2110-K · 0000093751-14-000040
At date2009-12-3114,491,000,000USD2013-02-2210-K · 0000093751-13-000040
At date2008-12-3112,774,000,000USD2012-02-2710-K · 0001193125-12-079737
At date2007-12-3111,299,000,000USD2011-02-2810-K · 0001193125-11-047982
At date2006-12-317,252,000,000USD2010-02-2210-K · 0001193125-10-036481

Related financial histories

Inspect the source

Entity
STATE STREET CORP / CIK 0000093751
Captured
2026-09-19T14:52:51.591Z
SEC response SHA-256
eb2ef444b1b6acdf390f61d077aa43779775f20eff811a0628b49ed9e2119850

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000093751.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))