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PRUCO LIFE INSURANCE CO: comprehensive income or loss

Comprehensive income or loss for PRUCO LIFE INSURANCE CO. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PRUCO LIFE INSURANCE CO financial histories

What this measure means

Net income plus other comprehensive income after tax. It includes unrealized items that net income excludes and is not a cash measure.

Exact concept: us-gaap:ComprehensiveIncomeNetOfTax. 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

Comprehensive income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-312,443,048,000USD2026-03-0610-K · 0000777917-26-000036
2024-01-012024-12-31253,074,000USD2026-03-0610-K · 0000777917-26-000036
2023-01-012023-12-31429,362,000USD2026-03-0610-K · 0000777917-26-000036
2022-01-012022-12-31-1,177,558,000USD2025-03-2610-K · 0000777917-25-000035
2021-01-012021-12-31-1,878,795,000USD2024-03-2010-K · 0000777917-24-000025
2020-01-012020-12-31461,383,000USD2023-03-2010-K · 0000777917-23-000018
2019-01-012019-12-31526,737,000USD2022-03-1610-K · 0000777917-22-000019
2018-01-012018-12-31-113,914,000USD2021-03-1910-K · 0000777917-21-000005
2017-01-012017-12-31422,164,000USD2020-03-0510-K · 0000777917-20-000024
2016-01-012016-12-31411,375,000USD2019-03-0710-K · 0000777917-19-000014
2015-01-012015-12-31394,117,000USD2018-03-0810-K · 0000777917-18-000020
2014-01-012014-12-31901,713,000USD2017-03-2310-K · 0000777917-17-000072
2013-01-012013-12-311,327,395,000USD2016-03-1010-K · 0000777917-16-000315
2012-01-012012-12-31738,170,000USD2015-03-1210-K · 0001193125-15-089383
2011-01-012011-12-31-102,214,000USD2014-03-1010-K · 0001193125-14-091719
2010-01-012010-12-31482,477,000USD2013-03-1510-K · 0001193125-13-109927
2009-01-012009-12-31176,571,000USD2012-07-2010-K/A · 0001193125-12-309055

Related financial histories

Inspect the source

Entity
PRUCO LIFE INSURANCE CO / CIK 0000777917
Captured
2026-09-21T17:16:32.276Z
SEC response SHA-256
348e8e6992256ebf21ca04bef65960546f8d920b6256ef82acaf2cbf647ba15e

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/0000777917.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"])))