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LOEWS CORP: interest expense

Interest expense for LOEWS CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LOEWS CORP financial histories

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Interest expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31437,000,000USD2026-02-1010-K · 0000060086-26-000008
2024-01-012024-12-31441,000,000USD2026-02-1010-K · 0000060086-26-000008
2023-01-012023-12-31376,000,000USD2026-02-1010-K · 0000060086-26-000008
2022-01-012022-12-31378,000,000USD2025-02-1110-K · 0000060086-25-000036
2021-01-012021-12-31424,000,000USD2024-02-0610-K · 0000060086-24-000029
2020-01-012020-12-31515,000,000USD2023-02-0710-K · 0000060086-23-000025
2019-01-012019-12-31591,000,000USD2022-02-0810-K · 0000060086-22-000007
2018-01-012018-12-31574,000,000USD2021-02-0910-K · 0001140361-21-003906
2017-01-012017-12-31646,000,000USD2020-02-1210-K · 0001193125-20-031657
2016-01-012016-12-31536,000,000USD2019-02-1310-K · 0001193125-19-037854
2015-01-012015-12-31520,000,000USD2018-02-1510-K · 0001193125-18-046681
2014-01-012014-12-31498,000,000USD2017-02-1610-K · 0001193125-17-046521
2013-01-012013-12-31425,000,000USD2016-02-1910-K · 0001193125-16-470141
2012-01-012012-12-31426,000,000USD2015-02-2410-K · 0001193125-15-058679
2011-01-012011-12-31522,000,000USD2014-02-2410-K · 0001193125-14-064964
2010-12-312011-12-31522,000,000USD2013-02-2210-K · 0001193125-13-070611
2010-01-012010-12-31517,000,000USD2012-02-2210-K · 0001193125-12-072891
2009-12-312010-12-31517,000,000USD2013-02-2210-K · 0001193125-13-070611
2009-01-012009-12-31448,000,000USD2012-02-2210-K · 0001193125-12-072891
2008-01-012008-12-31345,000,000USD2011-02-2310-K · 0001193125-11-043352
2007-01-012007-12-31319,000,000USD2010-02-2410-K · 0001193125-10-038679

Related financial histories

Inspect the source

Entity
LOEWS CORP / CIK 0000060086
Captured
2026-09-19T11:13:34.083Z
SEC response SHA-256
e9cdb245fc61b3f62c7a089603f20c2d9c526680715d6d153a9a9b1cf070671c

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/0000060086.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"])))