Skip to content

DAILY JOURNAL CORPORATION: cash and cash equivalents

Cash and cash equivalents for DAILY JOURNAL CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All DAILY JOURNAL CORPORATION financial histories

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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 2009-09-30 to 2025-09-30. The SEC response was captured on 2026-09-19.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-09-3020,569,000USD2025-12-2910-K · 0001437749-25-038836
At date2024-09-3012,986,000USD2025-12-2910-K · 0001437749-25-038836
At date2023-09-3020,844,000USD2025-12-2910-K · 0001437749-25-038836
At date2022-09-3013,423,000USD2024-12-3110-K · 0001437749-24-038552
At date2021-09-3012,596,000USD2022-12-1910-K · 0001437749-22-029285
At date2020-09-3026,922,000USD2021-12-1710-K · 0001437749-21-028861
At date2019-09-308,615,000USD2020-12-1710-K · 0001437749-20-025531
At date2018-09-309,301,000USD2019-12-1210-K · 0001437749-19-024290
At date2017-09-303,384,000USD2019-12-1210-K · 0001437749-19-024290
At date2016-09-3011,411,000USD2019-12-1210-K · 0001437749-19-024290
At date2015-09-3015,617,000USD2018-12-1210-K · 0001437749-18-021933
At date2014-09-3015,410,000USD2017-12-1310-K · 0001437749-17-020645
At date2013-09-3011,338,000USD2016-12-1410-K · 0001437749-16-043338
At date2012-09-30985,000USD2015-12-1410-K · 0001437749-15-022202
At date2011-09-303,058,000USD2015-01-2810-K · 0001437749-15-001399
At date2010-09-303,615,000USD2012-12-1410-K · 0001437749-12-012896
At date2009-09-301,425,000USD2011-12-1210-K · 0001437749-11-009416

Related financial histories

Inspect the source

Entity
DAILY JOURNAL CORPORATION / CIK 0000783412
Captured
2026-09-19T15:03:39.635Z
SEC response SHA-256
a11ddb847278876da4801364aec21d1071d26e0331955858c1f50059665ea851

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/0000783412.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"])))