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Golden Minerals Company: retained earnings or deficit

Golden Minerals Company retained earnings or deficit: -$554.8 million at 2024-12-31, down 1.4% on the year. 16 values since 2010, each linked to its SEC filing.

All Golden Minerals Company financial histories

At a glance

Golden Minerals Company reported retained earnings or deficit of -$554.8 million at 2024-12-31, down 1.4% from -$547.2 million a year earlier. Across the last five reported years it ranged from -$554.8 million (2024-12-31) to -$525.9 million (2020-12-31).

Computed from the values in the table below, in USD; each links to the filing it came from.

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 2010-12-31 to 2024-12-31. 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
-2024-12-31-554,788,000USD2025-04-1510-K · 0001558370-25-004847 SEC
-2023-12-31-547,188,000USD2025-04-1510-K · 0001558370-25-004847 SEC
-2022-12-31-537,960,000USD2024-03-1910-K · 0001558370-24-003526 SEC
-2021-12-31-528,054,000USD2023-03-2210-K · 0001558370-23-004375 SEC
-2020-12-31-525,866,000USD2022-03-2310-K · 0001558370-22-004084 SEC
-2019-12-31-516,780,000USD2021-02-1810-K · 0001558370-21-001156 SEC
-2018-12-31-511,391,000USD2020-02-2710-K · 0001558370-20-001509 SEC
-2017-12-31-509,082,000USD2019-02-2810-K · 0001558370-19-001218 SEC
-2017-01-01-505,185,000USD2018-03-0210-K · 0001558370-18-001416 SEC
-2016-12-31-488,037,000USD2018-03-0210-K · 0001558370-18-001416 SEC
-2015-12-31-477,378,000USD2017-02-2810-K · 0001558370-17-001095 SEC
-2014-12-31-451,995,000USD2016-02-2510-K · 0001104659-16-100057 SEC
-2013-12-31-448,626,000USD2015-02-2710-K · 0001104659-15-015308 SEC
-2012-12-31-208,246,000USD2014-02-2810-K · 0001104659-14-014962 SEC
-2011-12-31-116,221,000USD2013-03-0110-K · 0001047469-13-002050 SEC
-2010-12-31-53,550,000USD2012-03-0810-K · 0001047469-12-002301 SEC

Related Golden Minerals Company histories

All 48 Golden Minerals Company histories

Inspect the source

Entity
Golden Minerals Company / CIK 0001011509
Captured
SEC response SHA-256
68be643b3bced93dbb4f74460e56e9a417e2c5f0b134b74fdb507fa2e87b6d75

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001011509.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"])))