Fury Gold Mines (FURY) Operating Margin (2017 - 2020)
Fury Gold Mines (FURY) posted Operating Margin of 267.58% for the quarter ended Dec 31, 2020, down 144.92 percentage points from 412.50% a year earlier and down 213.00 percentage points from the prior quarter.
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Analysis
Fury Gold Mines (FURY) Operating Margin (2017 - 2020) Analysis & Trends
For the year ended Dec 31, 2020, Fury Gold Mines' Operating Margin came in at 375.45%, down 104.49 percentage points from the prior year.
- Annual Operating Margin has declined for four consecutive years, with a four-year change of -1839.66 percentage points (years ended Dec 2016 to Dec 2020).
- In prior years, Fury Gold Mines' Operating Margin was 479.94% in the year ended Dec 31, 2019 (-73.94 pp), 553.87% in the year ended Dec 31, 2018 (-459.00 pp), 1012.87% in the year ended Dec 31, 2017 (-1202.24 pp) and 2215.11% in the year ended Dec 31, 2016.
- The figure for the quarter ended Dec 31, 2020 stands as the lowest quarterly Operating Margin in data going back to the quarter ended Sep 30, 2017.
- On a year-over-year basis, Operating Margin increased in 1 of the last seven quarters, with an average year-over-year change of -72.23 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was the quarter ended Dec 31, 2018, with a gain of 139.08 percentage points; the weakest was the quarter ended Sep 30, 2018, with a drop of 41030.14 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 480.58% (quarter ended Sep 30, 2020), 441.46% (quarter ended Jun 30, 2020) and 417.28% (quarter ended Mar 31, 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 6.29% |
| 10 | Fury Gold Mines | 100.25 Mn | -17.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 267.58% |
| Sep 30, 2020 | 480.58% |
| Jun 30, 2020 | 441.46% |
| Mar 31, 2020 | 417.28% |
| Dec 31, 2019 | 412.50% |
| Sep 30, 2019 | 471.05% |
| Jun 30, 2019 | 600.00% |
| Mar 31, 2019 | 438.96% |
| Dec 31, 2018 | 486.84% |
| Sep 30, 2018 | 569.86% |
| Jun 30, 2018 | 616.88% |
| Dec 31, 2017 | 347.76% |
| Sep 30, 2017 | 41,600.00% |
API Access
Fury Gold Mines Operating 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=operating-margin&ticker=FURY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "FURY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=FURY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();