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GOLDEN STAR RESOURCE CORP.: net income or loss

Net income or loss for GOLDEN STAR RESOURCE CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All GOLDEN STAR RESOURCE CORP. financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2006-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-07-012025-06-30-69,127USD2025-09-2510-K · 0001493152-25-014902
2023-07-012024-06-30-47,628USD2025-09-2510-K · 0001493152-25-014902
2022-07-012023-06-30-46,221USD2024-09-2510-K · 0001493152-24-038066
2021-07-012022-06-30-57,557USD2024-04-0510-K/A · 0001493152-24-013246
2020-07-012021-06-30-39,698USD2022-09-2810-K · 0001493152-22-027068
2019-07-012020-06-30-34,584USD2021-09-2810-K · 0001493152-21-023953
2018-07-012019-06-30-32,892USD2020-09-2810-K · 0001493152-20-018487
2017-07-012018-06-30-36,342USD2019-09-3010-K · 0001493152-19-014707
2016-07-012017-06-30-19,302USD2018-09-2810-K · 0001493152-18-013874
2015-07-012016-06-30-29,683USD2017-09-2810-K · 0001493152-17-011043
2014-07-012015-06-30-57,136USD2016-09-2810-K · 0001493152-16-013639
2013-07-012014-06-30-53,610USD2015-09-2910-K · 0001493152-15-004573
2012-07-012013-06-30-125,932USD2014-09-2610-K · 0001199835-14-000481
2011-07-012012-06-30-107,104USD2013-09-3010-K · 0001199835-13-000621
2010-07-012011-06-30-88,253USD2013-09-3010-K · 0001199835-13-000621
2009-07-012010-06-30-13,061USD2013-09-3010-K · 0001199835-13-000621
2008-07-012009-06-30-22,415USD2013-09-3010-K · 0001199835-13-000621
2007-07-012008-06-30-67,681USD2013-09-3010-K · 0001199835-13-000621
2006-07-012007-06-30-36,562USD2013-09-3010-K · 0001199835-13-000621

Related financial histories

Inspect the source

Entity
GOLDEN STAR RESOURCE CORP. / CIK 0001375348
Captured
2026-09-20T07:57:25.799Z
SEC response SHA-256
722701372adca2dbbb21fffeb6b041aa8f725e0d3ca359e9509ceb2ad875ca1c

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/0001375348.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"])))