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BERKSHIRE HATHAWAY INC: retained earnings or deficit

Retained earnings or deficit 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

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Retained earnings or deficit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-31763,186,000,000USD2026-03-0210-K · 0001193125-26-083899
At date2024-12-31696,218,000,000USD2026-03-0210-K · 0001193125-26-083899
At date2023-12-31607,350,000,000USD2025-02-2410-K · 0000950170-25-025210
At date2022-12-31511,127,000,000USD2024-02-2610-K · 0000950170-24-019719
At date2021-12-31534,421,000,000USD2023-02-2710-K · 0000950170-23-004451
At date2021-01-01443,949,000,000USD2024-02-2610-K · 0000950170-24-019719
At date2020-12-31444,626,000,000USD2022-02-2810-K · 0001564590-22-007322
At date2019-12-31402,493,000,000USD2021-03-0110-K · 0001564590-21-009611
At date2018-12-31321,112,000,000USD2020-02-2410-K · 0001564590-20-005874
At date2017-12-31255,786,000,000USD2019-02-2510-K · 0001193125-19-048926
At date2016-12-31210,846,000,000USD2018-02-2610-K · 0001193125-18-057033
At date2015-12-31187,703,000,000USD2017-02-2710-K · 0001193125-17-056969
At date2014-12-31163,620,000,000USD2016-02-2910-K · 0001193125-16-483023
At date2013-12-31143,748,000,000USD2015-03-0210-K · 0001193125-15-070966
At date2012-12-31124,272,000,000USD2014-03-0310-K · 0001193125-14-078778
At date2011-12-31109,448,000,000USD2013-03-0110-K · 0001193125-13-087679
At date2010-12-3199,194,000,000USD2012-02-2710-K · 0001193125-12-079022
At date2009-12-3186,227,000,000USD2011-02-2810-K · 0001193125-11-048914
At date2008-12-3178,172,000,000USD2010-03-0110-K · 0001193125-10-043450

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"])))