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THE LINCOLN NATIONAL LIFE INSURANCE COMPANY: filings

Every THE LINCOLN NATIONAL LIFE INSURANCE COMPANY annual and quarterly report in the SEC record with the published financial measures it tagged, 36 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-08-05fiscal Q2 202617470000726865-26-000664
10-Q2026-05-13fiscal Q1 202616350000726865-26-000324
10-K2026-03-12fiscal FY 202523610000726865-26-000097
10-Q2025-11-06fiscal Q3 202516450000726865-25-001139
10-Q2025-08-07fiscal Q2 202516450000726865-25-000722
10-Q2025-05-15fiscal Q1 202516350000726865-25-000360
10-K2025-03-14fiscal FY 202423610000726865-25-000128
10-Q2024-11-07fiscal Q3 202416450000726865-24-000775
10-Q2024-08-14fiscal Q2 202416450000726865-24-000583
10-Q2024-05-09fiscal Q1 202416350000726865-24-000199
10-K2024-03-15fiscal FY 202323610000726865-24-000086
10-Q2023-11-07fiscal Q3 202316470000726865-23-000581
10-Q2023-08-07fiscal Q2 202316450000726865-23-000499
10-Q2023-05-15fiscal Q1 202316350000726865-23-000324
10-K/A2023-03-30fiscal FY 2022231710000726865-23-000295
10-K2023-03-07fiscal FY 202223600000726865-23-000180
10-Q2022-11-07fiscal Q3 202216450000726865-22-000615
10-Q2022-08-08fiscal Q2 202216450000726865-22-000525
10-Q2022-05-09fiscal Q1 202216350000726865-22-000279
10-K2022-03-08fiscal FY 202123600000726865-22-000079
10-Q2021-11-08fiscal Q3 202116450000726865-21-000560
10-Q2021-08-09fiscal Q2 202115410000726865-21-000388
10-Q2021-05-10fiscal Q1 202115330000726865-21-000193
10-K2021-03-09fiscal FY 202022720000726865-21-000098
10-Q2020-11-09fiscal Q3 202015410000726865-20-000533
10-Q2020-08-10fiscal Q2 202015410000726865-20-000319
10-Q2020-05-12fiscal Q1 202015330000726865-20-000196
10-K2020-03-13fiscal FY 201922690000726865-20-000118
10-Q2019-11-04fiscal Q3 201919460000726865-19-000600
10-Q2019-08-05fiscal Q2 201919460000726865-19-000301
10-Q2019-05-06fiscal Q1 201919380000726865-19-000187
10-K2019-03-13fiscal FY 201820670000726865-19-000080
10-Q2018-11-06fiscal Q3 201817450000726865-18-000629
10-Q2018-08-07fiscal Q2 201817450000726865-18-000362
10-Q2018-05-09fiscal Q1 201817360000726865-18-000241
10-K2018-03-13fiscal FY 201719660000726865-18-000173

Inspect the source

Entity
THE LINCOLN NATIONAL LIFE INSURANCE COMPANY / CIK 0000726865
Captured
2026-09-21T17:16:22.089Z
SEC response SHA-256
a0090087f9c70aec3b0c2fe18478f37d3cd4a81f25f14d2ac2556b732a8bc610

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

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0000726865.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"])))