Hecla Mining (HL) Accumulated Expenses (2016 - 2026)
Hecla Mining (HL) posted Accumulated Expenses of $11.5 million for Q2 2026, down 20.0% from $14.37 million a year earlier but up 295.7% from the prior quarter.
Hecla Mining (HL) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Hecla Mining's Accumulated Expenses came in at $7.68 million, down 46.4% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- In prior years, Hecla Mining's Accumulated Expenses was $14.32 million in FY2024 (-0.6%), $14.41 million in FY2023 (-0.3%), $14.45 million in FY2022 (unchanged) and $14.45 million in FY2021 (+2.1%).
- Quarterly Accumulated Expenses has run from a low of $2.91 million in Q1 2026 to a high of $14.45 million in Q4 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with an average decline of 19.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 5.8%; the weakest was Q4 2025, with a decline of 46.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.91 million (Q1 2026), $7.68 million (Q4 2025) and $2.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 149.62 Bn | 124.43 Bn | 3.10 Bn |
| 3 | Rio Tinto | 134.25 Bn | 101.31 Bn | - |
| 4 | Newmont | 113.36 Bn | 78.67 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 90.38 Bn | 86.54 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 85.22 Bn | 72.17 Bn | 2.15 Bn |
| 7 | Barrick Mining | 63.61 Bn | 48.36 Bn | 2.90 Bn |
| 8 | Nucor | 62.99 Bn | 53.53 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 46.60 Bn | 27.63 Bn | - |
| 10 | Hecla Mining | 9.09 Bn | 7.56 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.50 Mn |
| Mar 31, 2026 | 2.91 Mn |
| Dec 31, 2025 | 7.68 Mn |
| Sep 30, 2025 | 2.91 Mn |
| Jun 30, 2025 | 14.37 Mn |
| Mar 31, 2025 | 5.16 Mn |
| Dec 31, 2024 | 14.32 Mn |
| Sep 30, 2024 | 5.19 Mn |
| Jun 30, 2024 | 14.37 Mn |
| Mar 31, 2024 | 5.19 Mn |
| Dec 31, 2023 | 14.41 Mn |
| Sep 30, 2023 | 5.19 Mn |
| Jun 30, 2023 | 14.40 Mn |
| Mar 31, 2023 | 5.19 Mn |
| Dec 31, 2022 | 14.45 Mn |
| Sep 30, 2022 | 5.18 Mn |
| Jun 30, 2022 | 14.44 Mn |
| Mar 31, 2022 | 5.23 Mn |
| Dec 31, 2021 | 14.45 Mn |
| Sep 30, 2021 | 5.22 Mn |
Hecla Mining Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=HL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=HL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();