Skip to content

United States Antimony Corporation: common-stock repurchase payments

United States Antimony common-stock repurchase payments: $449.5 thousand for the year ending 2025-12-31. 4 values since 2021, each linked to its SEC filing.

All United States Antimony Corporation financial histories

At a glance

United States Antimony reported common-stock repurchase payments of $449.5 thousand for the year ending 2025-12-31. Across the last four reported years it ranged from $0 (2021-12-31) to $449.5 thousand (2025-12-31). That was 1.1% of revenue ($39.3 million) for the same year.

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

What this measure means

Cash paid to reacquire common stock during the period. This is not an authorization limit or a direct measure of the net change in share count.

Exact concept: us-gaap:PaymentsForRepurchaseOfCommonStock. 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 2021-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Common-stock repurchase payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31449,475USD2026-03-1910-K · 0001104659-26-032049 SEC
2023-01-012023-12-310USD2024-04-1210-K · 0001654954-24-004576 SEC
2022-01-012022-12-31202,980USD2024-04-1210-K · 0001654954-24-004576 SEC
2021-01-012021-12-310USD2023-07-1810-K · 0001654954-23-009305 SEC

Related UNITED STATES ANTIMONY CORPORATION histories

All 58 United States Antimony histories

Inspect the source

Entity
UNITED STATES ANTIMONY CORPORATION / CIK 0000101538
Captured
SEC response SHA-256
1c8da52ef005683370be7b67554bcf4a36232c8a55e94c35948ebb0cd5ad1fbd

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/0000101538.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"])))