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ASSURED GUARANTY LTD.: net income available to common stockholders

Net income available to common stockholders for ASSURED GUARANTY LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ASSURED GUARANTY LTD. financial histories

What this measure means

Net income after preferred dividends and similar adjustments, the numerator for basic earnings per share. It can be lower than reported net income.

Exact concept: us-gaap:NetIncomeLossAvailableToCommonStockholdersBasic. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Net income available to common stockholders in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31499,000,000USD2026-02-2710-K · 0001273813-26-000011
2024-01-012024-12-31373,000,000USD2026-02-2710-K · 0001273813-26-000011
2023-01-012023-12-31733,000,000USD2026-02-2710-K · 0001273813-26-000011
2022-01-012022-12-31123,000,000USD2025-02-2810-K · 0001273813-25-000011
2021-01-012021-12-31389,000,000USD2024-02-2810-K · 0001273813-24-000007
2020-01-012020-12-31361,000,000USD2023-03-0110-K · 0001273813-23-000005
2019-01-012019-12-31401,000,000USD2022-02-2510-K · 0001273813-22-000007
2018-01-012018-12-31520,000,000USD2021-02-2610-K · 0001273813-21-000004
2017-01-012017-12-31729,000,000USD2020-02-2810-K · 0001273813-20-000006
2016-01-012016-12-31880,000,000USD2019-03-0110-K · 0001273813-19-000004
2015-01-012015-12-311,055,000,000USD2018-02-2310-K · 0001273813-18-000004
2014-01-012014-12-311,088,000,000USD2017-02-2410-K · 0001273813-17-000009
2013-01-012013-12-31807,000,000USD2016-02-2610-K · 0001273813-16-000055
2012-01-012012-12-31110,000,000USD2015-02-2610-K · 0001273813-15-000006
2011-01-012011-12-31773,000,000USD2014-02-2810-K · 0001273813-14-000004
2010-01-012010-12-31484,000,000USD2013-03-0110-K · 0001273813-13-000006
2009-01-012009-12-3185,978,000USD2012-02-2910-K · 0001047469-12-001832

Related financial histories

Inspect the source

Entity
ASSURED GUARANTY LTD. / CIK 0001289244
Captured
2026-09-21T17:18:46.224Z
SEC response SHA-256
ad78aad8d2bd0e4f8d9ab73bf41358dd51d56c9eae1e7113c9e2b5660c444517

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/0001289244.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"])))