Ferroglobe (GSM) Cost of Revenue (2015 - 2023)
Ferroglobe's Cost of Revenue was $825.84 million in the quarter ended Dec 31, 2023, compared with $20.55 million a year earlier.
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Analysis
Ferroglobe (GSM) Cost of Revenue (2015 - 2023) Analysis & Trends
For the year ended Dec 31, 2023, Cost of Revenue at Ferroglobe came in at $879.29 million, down 31.6% from the prior year.
- Cost of Revenue shows a five-year compound annual growth rate of -9.5% (years ended Dec 2018 to Dec 2023).
- In earlier years, Cost of Revenue was $1.29 billion in the year ended Dec 31, 2022 (+8.5%), $1.18 billion in the year ended Dec 31, 2021 (+995.2%), $108.19 million in the year ended Dec 31, 2020 and $120,194 in the year ended Dec 30, 2019 (-100.0%).
- The figure for the quarter ended Dec 31, 2023 marks the highest quarterly Cost of Revenue since the quarter ended Dec 31, 2018.
- Over the past five years, the year-over-year decline in Cost of Revenue ranged from 3.6% (the quarter ended Sep 30, 2023) to 91.5% (the quarter ended Dec 31, 2019).
- Per Business Quant data, GSM's Cost of Revenue in the three quarters before the quarter ended Dec 31, 2023 was $19 million (quarter ended Sep 30, 2023), $16.45 million (quarter ended Jun 30, 2023) and $17.99 million (quarter ended Mar 31, 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 1.39 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 2.09 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 3.40 Bn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 4.84 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 953.76 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 2.40 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 8.36 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Ferroglobe | 796.03 Mn | 338.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 825.84 Mn |
| Sep 30, 2023 | 19.00 Mn |
| Jun 30, 2023 | 16.45 Mn |
| Mar 31, 2023 | 17.99 Mn |
| Dec 31, 2022 | 20.55 Mn |
| Sep 30, 2022 | 19.72 Mn |
| Jun 30, 2022 | 20.19 Mn |
| Mar 31, 2022 | 21.11 Mn |
| Dec 31, 2021 | 97.33 Mn |
| Sep 30, 2021 | 23.97 Mn |
| Jun 30, 2021 | 23.52 Mn |
| Mar 31, 2021 | 25.29 Mn |
| Dec 31, 2020 | 108.19 Mn |
| Sep 30, 2020 | 166.23 Mn |
| Mar 31, 2020 | 243.36 Mn |
| Dec 31, 2019 | 123.02 Mn |
| Sep 30, 2019 | 277.69 Mn |
| Jun 30, 2019 | 292.43 Mn |
| Mar 31, 2019 | 329.37 Mn |
| Dec 31, 2018 | 1.45 Bn |
API Access
Ferroglobe Cost of Revenue 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=cost-of-revenue&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();