Hudbay Minerals (HBM) Depreciation and Depletion (2014 - 2025)
Hudbay Minerals' Depreciation and Depletion came in at $19.6 million for the quarter ended Sep 30, 2025, down 24.6% from $26 million a year earlier.
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Analysis
Hudbay Minerals (HBM) Depreciation and Depletion (2014 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Hudbay Minerals reported Depreciation and Depletion of $68.4 million, down 58.1% year-over-year; for the year ended Dec 31, 2024, it was $148.7 million, up 2.3% from the prior year.
- Depreciation and Depletion carries a five-year compound annual growth rate of -0.7% (years ended Dec 2019 to Dec 2024).
- Going back by year, Depreciation and Depletion was $145.3 million in the year ended Dec 31, 2023 (+22.6%) and $118.49 million in the year ended Dec 31, 2022.
- The five-year range for quarterly Depreciation and Depletion is $14.4 million (the quarter ended Mar 31, 2025) to $48.89 million (the quarter ended Dec 31, 2023).
- Year-over-year, Depreciation and Depletion increased in three of the last seven quarters, with an average decline of 4.8%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in the quarter ended Sep 30, 2023 (growth of 50.2%), and the weakest in the quarter ended Mar 31, 2025 (a decline of 67.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | - |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 555.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 320.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Hudbay Minerals | 10.76 Bn | 8.07 Bn | 269.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 19.60 Mn |
| Mar 31, 2025 | 14.40 Mn |
| Dec 31, 2024 | 34.40 Mn |
| Sep 30, 2024 | 26.00 Mn |
| Jun 30, 2024 | 44.30 Mn |
| Mar 31, 2024 | 44.00 Mn |
| Dec 31, 2023 | 48.89 Mn |
| Sep 30, 2023 | 30.93 Mn |
| Jun 30, 2023 | 30.50 Mn |
| Mar 31, 2023 | 34.98 Mn |
| Dec 31, 2022 | 36.73 Mn |
| Sep 30, 2022 | 20.60 Mn |
| Jun 30, 2022 | 24.43 Mn |
| Mar 31, 2022 | 36.74 Mn |
| Mar 31, 2020 | 41.70 Mn |
| Dec 31, 2019 | 40.89 Mn |
| Sep 30, 2019 | 35.67 Mn |
| Jun 30, 2019 | 35.35 Mn |
| Mar 31, 2019 | 42.45 Mn |
| Dec 31, 2018 | 35.49 Mn |
API Access
Hudbay Minerals Depreciation and Depletion 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=depreciation-and-depletion&ticker=HBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "HBM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=HBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();