Ferroglobe (GSM) Gross Margin (2016 - 2023)
Ferroglobe's Gross Margin was -119.67% in the quarter ended Dec 31, 2023, down 215.09 percentage points from 95.42% a year earlier and down 215.11 percentage points from the prior quarter.
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Analysis
Ferroglobe (GSM) Gross Margin (2016 - 2023) Analysis & Trends
For the year ended Dec 31, 2023, Gross Margin at Ferroglobe came in at 46.71%, down 3.82 percentage points from the prior year.
- Gross Margin shows a five-year change of +11.24 percentage points (years ended Dec 2018 to Dec 2023).
- In earlier years, Gross Margin was 50.53% in the year ended Dec 31, 2022 (+17.14 pp), 33.39% in the year ended Dec 31, 2021 (-57.15 pp) and 90.55% in the year ended Dec 31, 2020.
- The figure for the quarter ended Dec 31, 2023 marks the lowest quarterly Gross Margin since the quarter ended Dec 31, 2018.
- Compared with a year earlier, Gross Margin has declined for four straight quarters, with an average year-over-year change of -33.75 percentage points over the last six quarters.
- The best year-over-year quarter for Gross Margin over five years was the quarter ended Dec 31, 2019 (a gain of 212.10 percentage points); the worst was the quarter ended Dec 31, 2023 (a drop of 215.09 percentage points).
- Per Business Quant data, GSM's Gross Margin in the three quarters before the quarter ended Dec 31, 2023 was 95.44% (quarter ended Sep 30, 2023), 96.40% (quarter ended Jun 30, 2023) and 95.51% (quarter ended Mar 31, 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 67.60% |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 65.87% |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | 21.68% |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 31.10% |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 54.74% |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 19.56% |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | Ferroglobe | 762.39 Mn | 305.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -119.67% |
| Sep 30, 2023 | 95.44% |
| Jun 30, 2023 | 96.40% |
| Mar 31, 2023 | 95.51% |
| Dec 31, 2022 | 95.42% |
| Sep 30, 2022 | 96.68% |
| Jun 30, 2022 | 97.60% |
| Mar 31, 2022 | 97.05% |
| Dec 31, 2021 | 82.92% |
| Sep 30, 2021 | 94.42% |
| Jun 30, 2021 | 94.38% |
| Mar 31, 2021 | 93.00% |
| Dec 31, 2020 | 66.25% |
| Sep 30, 2020 | 36.72% |
| Mar 31, 2020 | 21.81% |
| Dec 31, 2019 | 67.33% |
| Sep 30, 2019 | 27.26% |
| Jun 30, 2019 | 28.58% |
| Mar 31, 2019 | 26.38% |
| Dec 31, 2018 | -144.76% |
API Access
Ferroglobe Gross Margin 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=gross-margin&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();