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DAWSON GEOPHYSICAL COMPANY: stockholders equity

Stockholders equity for DAWSON GEOPHYSICAL COMPANY. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All DAWSON GEOPHYSICAL COMPANY financial histories

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. 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 2026-09-19.

Selected filing history

Stockholders equity in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3115,808,000USD2026-03-3110-K · 0001104659-26-037886
At date2024-12-3117,281,000USD2026-03-3110-K · 0001104659-26-037886
At date2023-12-3131,434,000USD2026-03-3110-K · 0001104659-26-037886
At date2022-12-3148,804,000USD2025-04-0210-K · 0001558370-25-004330
At date2021-12-3162,477,000USD2024-04-0110-K · 0001558370-24-004547
At date2020-12-3190,974,000USD2023-03-1310-K · 0001558370-23-003587
At date2019-12-31103,165,000USD2022-03-1810-K · 0001558370-22-003931
At date2018-12-31117,016,000USD2021-03-1610-K · 0001558370-21-003090
At date2017-12-31141,318,000USD2020-03-0610-K · 0001558370-20-002153
At date2016-12-31171,474,000USD2020-03-0610-K · 0001558370-20-002153
At date2015-12-31209,718,000USD2019-03-0610-K · 0001558370-19-001602
At date2014-12-31194,218,000USD2018-03-0910-K · 0001558370-18-001795
At date2014-09-30199,530,000USD2017-03-1310-K · 0001558370-17-001668
At date2013-12-3169,130,801USD2015-03-1610-K · 0001104659-15-020069
At date2013-09-30213,060,000USD2017-03-1310-K · 0001558370-17-001668
At date2012-12-3177,985,561USD2015-03-1610-K · 0001104659-15-020069
At date2012-09-30200,949,000USD2016-03-1610-K · 0001047469-16-011203
At date2011-12-3163,719,680USD2015-03-1610-K · 0001104659-15-020069
At date2010-12-3152,862,800USD2014-03-1710-K · 0001104659-14-020007
At date2009-12-3152,695,278USD2013-03-1510-K · 0001104659-13-021268
At date2008-12-3150,427,430USD2013-03-1510-K/A · 0001104659-13-021240

Related financial histories

Inspect the source

Entity
DAWSON GEOPHYSICAL COMPANY / CIK 0000799165
Captured
2026-09-19T15:05:09.193Z
SEC response SHA-256
ee15063e561ea5f2d30aaf4cd09d772a01c8fcaa7989e97beeaa92da8bbb3d70

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/0000799165.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"])))