Fury Gold Mines (FURY) Other Accumulated Expenses (2019 - 2024)
Fury Gold Mines (FURY) recorded Other Accumulated Expenses of $195,918 in the quarter ended Mar 31, 2024.
Analysis
Fury Gold Mines (FURY) Other Accumulated Expenses (2019 - 2024) Analysis & Trends
As of Dec 31, 2022, Fury Gold Mines reported Other Accumulated Expenses of -$69,994.
- Across earlier years, Other Accumulated Expenses came in at $8,958 in the year ended Dec 31, 2020, -$55,772 in the year ended Dec 31, 2019 and -$3,502 in the year ended Oct 31, 2018.
- The figure for the quarter ended Mar 31, 2024 is the highest quarterly Other Accumulated Expenses in data going back to the quarter ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Fury Gold Mines | 96.46 Mn | -21.08 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 195,917.89 |
| Dec 31, 2022 | -67,039.97 |
| Sep 30, 2022 | 17,635.16 |
| Jun 30, 2022 | 4,706.04 |
| Sep 30, 2021 | 14,299.37 |
| Jun 30, 2021 | -15,457.02 |
| Mar 31, 2021 | 20,542.58 |
| Dec 31, 2020 | 9,204.66 |
| Sep 30, 2020 | 50,278.39 |
| Jun 30, 2020 | -33,896.59 |
| Mar 31, 2020 | -40,278.31 |
| Dec 31, 2019 | -56,054.88 |
API Access
Fury Gold Mines Other Accumulated Expenses 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=other-accumulated-expenses&ticker=FURY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=FURY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();