Skip to content

HECLA MINING CO/DE/: operating expenses

Operating expenses for HECLA MINING CO/DE/. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All HECLA MINING CO/DE/ financial histories

What this measure means

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

Exact concept: us-gaap:OperatingExpenses. 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Operating expenses in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31107,408,000USD2026-02-1710-K · 0001193125-26-055059
2024-01-012024-12-3191,934,000USD2026-02-1710-K · 0001193125-26-055059
2023-01-012023-12-31157,623,000USD2026-02-1710-K · 0001193125-26-055059
2022-01-012022-12-31128,594,000USD2025-02-1310-K · 0000950170-25-019955
2021-01-012021-12-31134,381,000USD2024-02-1510-K · 0000950170-24-015673
2020-01-012020-12-3194,122,000USD2023-02-1710-K · 0000950170-23-003174
2019-01-012019-12-3180,508,000USD2022-02-2310-K · 0001437749-22-004164
2018-01-012018-12-31118,225,000USD2021-02-1810-K · 0001437749-21-003217
2017-01-012017-12-3192,343,000USD2020-02-1010-K · 0001437749-20-002109
2016-01-012016-12-3174,562,000USD2019-02-2210-K · 0001437749-19-003108
2015-01-012015-12-3174,122,000USD2018-02-1510-K · 0001437749-18-002671
2014-01-012014-12-3163,573,000USD2017-02-2310-K · 0001437749-17-003050
2013-01-012013-12-3198,540,000USD2016-02-2310-K · 0001437749-16-025805
2012-01-012012-12-31105,650,000USD2015-02-1810-K · 0001437749-15-002930
2011-01-012011-12-3167,350,000USD2014-02-1910-K · 0001437749-14-002454
2010-01-012010-12-31246,374,000USD2013-02-2510-K · 0001437749-13-001916
2009-01-012009-12-3125,797,000USD2012-02-2210-K · 0001437749-12-001603
2008-01-012008-12-3143,218,000USD2011-02-2510-K · 0001437749-11-001070

Related financial histories

Inspect the source

Entity
HECLA MINING CO/DE/ / CIK 0000719413
Captured
2026-09-19T14:59:34.337Z
SEC response SHA-256
1bc8b5953db142faa5a529effaa052f33daec7b60309c7f9ee54e7105fbfce1f

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/0000719413.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"])))