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Dorchester Minerals, L.P.: cash and cash equivalents

Cash and cash equivalents for Dorchester Minerals, L.P. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Dorchester Minerals, L.P. 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 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3141,937,000USD2026-02-2410-K · 0001437749-26-005376
At date2024-12-3142,508,000USD2026-02-2410-K · 0001437749-26-005376
At date2023-12-3147,025,000USD2025-02-2010-K · 0001437749-25-004616
At date2022-12-3140,754,000USD2024-02-2210-K · 0001437749-24-005193
At date2021-12-3128,306,000USD2023-02-2310-K · 0001437749-23-004361
At date2020-12-3111,232,000USD2022-02-2410-K · 0001437749-22-004351
At date2019-12-3115,339,000USD2021-02-2510-K · 0001437749-21-004057
At date2018-12-3118,285,000USD2020-02-2710-K · 0001437749-20-003742
At date2017-12-3113,827,000USD2020-02-2710-K · 0001437749-20-003742
At date2016-12-318,212,000USD2019-02-2810-K · 0001437749-19-003623
At date2015-12-317,136,000USD2019-02-2810-K · 0001437749-19-003623
At date2014-12-3115,912,000USD2018-03-0810-K · 0001437749-18-004162
At date2013-12-3115,175,000USD2017-03-0210-K · 0001437749-17-003642
At date2012-12-3113,792,000USD2016-02-2510-K · 0001437749-16-026030
At date2011-12-3114,238,000USD2015-02-1910-K · 0001437749-15-003008
At date2010-12-3111,253,000USD2014-02-2010-K · 0001437749-14-002522
At date2009-12-3110,124,000USD2013-02-2110-K · 0001437749-13-001785
At date2008-12-3116,211,000USD2012-02-2410-K · 0001437749-12-001712

Related financial histories

Inspect the source

Entity
Dorchester Minerals, L.P. / CIK 0001172358
Captured
2026-09-20T07:44:22.502Z
SEC response SHA-256
2e74cea06aa3728abc479063baf6387703c986a51c5c09b9a3edc32676e82b35

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/0001172358.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"])))