Ferroglobe (GSM) Gross Margin (2016 - 2021)
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 - 2021) 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 | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 67.60% |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 65.87% |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 31.10% |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 63.79% |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 54.74% |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 19.56% |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | - |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 34.80% |
| Sep 30, 2021 | 31.21% |
| Jun 30, 2021 | 35.98% |
| Mar 31, 2021 | 30.78% |
| Dec 31, 2020 | 14.95% |
| Sep 30, 2020 | 36.72% |
| Jun 30, 2020 | 38.68% |
| Mar 31, 2020 | 21.81% |
| Dec 31, 2019 | 16.38% |
| Sep 30, 2019 | 27.26% |
| Jun 30, 2019 | 28.58% |
| Mar 31, 2019 | 26.38% |
| Dec 31, 2018 | 24.19% |
| Sep 30, 2018 | 36.24% |
| Jun 30, 2018 | 40.51% |
| Mar 31, 2018 | 42.81% |
| Dec 31, 2017 | 39.21% |
| Sep 30, 2017 | 40.80% |
| Jun 30, 2017 | 41.22% |
| Mar 31, 2017 | 39.11% |
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();