Ferroglobe (GSM) Depreciation and Depletion (2016 - 2024)
Ferroglobe (GSM) reported Depreciation and Depletion of $2.15 million for the quarter ended Sep 30, 2024, down 76.5% from $9.17 million a year earlier and down 59.5% from the prior quarter.
Ferroglobe (GSM) Depreciation and Depletion (2016 - 2024) Analysis & Trends
Over the twelve months ended Sep 30, 2024, Ferroglobe's Depreciation and Depletion came in at $27.47 million, down 27.5% year-over-year; for the year ended Dec 31, 2023, it came in at $28.72 million, down 51.1% from the prior year.
- Depreciation and Depletion has a five-year compound annual growth rate of -12.7% (years ended Dec 2018 to Dec 2023).
- By year, Depreciation and Depletion came in at $58.74 million in the year ended Dec 31, 2022 (-60.6%), $148.94 million in the year ended Dec 31, 2021 (+123.0%) and $66.79 million in the year ended Dec 31, 2020.
- The figure for the quarter ended Sep 30, 2024 ranks as the lowest quarterly Depreciation and Depletion since the quarter ended Jun 30, 2023.
- Year over year, Depreciation and Depletion gained in 1 of the last eight quarters, with growth averaging 25.2%.
- The high point for year-over-year Depreciation and Depletion in five years was the quarter ended Jun 30, 2024 (growth of 493.9%); the low point was the quarter ended Jun 30, 2023 (a decline of 93.0%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2024 came in at $5.32 million (quarter ended Jun 30, 2024), $7.67 million (quarter ended Mar 31, 2024) and $12.33 million (quarter ended Dec 31, 2023).
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 | Ferroglobe | 796.03 Mn | 338.98 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 2.15 Mn |
| Jun 30, 2024 | 5.32 Mn |
| Mar 31, 2024 | 7.67 Mn |
| Dec 31, 2023 | 12.33 Mn |
| Sep 30, 2023 | 9.17 Mn |
| Jun 30, 2023 | 895,000.00 |
| Mar 31, 2023 | 10.98 Mn |
| Dec 31, 2022 | 16.83 Mn |
| Sep 30, 2022 | 16.63 Mn |
| Jun 30, 2022 | 12.83 Mn |
| Mar 31, 2022 | 12.46 Mn |
| Dec 31, 2021 | 18.52 Mn |
| Sep 30, 2021 | 103.38 Mn |
| Jun 30, 2021 | 11.18 Mn |
| Mar 31, 2021 | 15.86 Mn |
| Dec 31, 2020 | 19.63 Mn |
| Sep 30, 2020 | 13.99 Mn |
| Mar 31, 2020 | 16.48 Mn |
| Dec 31, 2019 | 6.43 Mn |
| Sep 30, 2019 | 20.89 Mn |
Ferroglobe 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=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "GSM", "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=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();