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BERKSHIRE HATHAWAY INC: interest expense

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

All BERKSHIRE HATHAWAY INC 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 2013-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Interest expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-315,069,000,000USD2026-03-0210-K · 0001193125-26-083899
2024-01-012024-12-315,200,000,000USD2026-03-0210-K · 0001193125-26-083899
2023-01-012023-12-315,003,000,000USD2026-03-0210-K · 0001193125-26-083899
2022-01-012022-12-314,352,000,000USD2025-02-2410-K · 0000950170-25-025210
2021-01-012021-12-314,172,000,000USD2024-02-2610-K · 0000950170-24-019719
2020-01-012020-12-314,083,000,000USD2023-02-2710-K · 0000950170-23-004451
2019-01-012019-12-313,961,000,000USD2022-02-2810-K · 0001564590-22-007322
2018-01-012018-12-313,853,000,000USD2021-03-0110-K · 0001564590-21-009611
2017-01-012017-12-314,386,000,000USD2020-02-2410-K · 0001564590-20-005874
2016-01-012016-12-313,741,000,000USD2019-02-2510-K · 0001193125-19-048926
2015-01-012015-12-313,515,000,000USD2018-02-2610-K · 0001193125-18-057033
2014-01-012014-12-313,253,000,000USD2017-02-2710-K · 0001193125-17-056969
2013-01-012013-12-312,801,000,000USD2016-02-2910-K · 0001193125-16-483023

Related financial histories

Inspect the source

Entity
BERKSHIRE HATHAWAY INC / CIK 0001067983
Captured
2026-09-20T05:19:07.468Z
SEC response SHA-256
10088d8a156e01c366e55c70d8585b3ee7b70221ecbb7597a1147ece0c511246

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/0001067983.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"])))