B2Gold (BTG) Accumulated Expenses (2016 - 2018)
B2Gold's Accumulated Expenses was $12 million in the quarter ended Mar 31, 2018, down 80.0% from $60 million a year earlier and down 60.0% from the prior quarter.
B2Gold (BTG) Accumulated Expenses (2016 - 2018) Analysis & Trends
As of Dec 31, 2017, Accumulated Expenses at B2Gold came in at $30 million, down 52.0% from the prior year.
- In earlier years, Accumulated Expenses was $62.55 million in the year ended Dec 31, 2016.
- The figure for the quarter ended Mar 31, 2018 marks the lowest quarterly Accumulated Expenses in data going back to the quarter ended Mar 31, 2016.
- Compared with a year earlier, Accumulated Expenses has declined for five straight quarters, with an average decline of 49.9% over the last five quarters.
- Per Business Quant data, BTG's Accumulated Expenses in the three quarters before the quarter ended Mar 31, 2018 was $30 million (quarter ended Dec 31, 2017), $45 million (quarter ended Sep 30, 2017) and $60 million (quarter ended Jun 30, 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - |
| 10 | B2Gold | 6.52 Bn | 5.03 Bn | 308.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 12.00 Mn |
| Dec 31, 2017 | 30.00 Mn |
| Sep 30, 2017 | 45.00 Mn |
| Jun 30, 2017 | 60.00 Mn |
| Mar 31, 2017 | 60.00 Mn |
| Dec 31, 2016 | 62.55 Mn |
| Sep 30, 2016 | 74.31 Mn |
| Jun 30, 2016 | 90.44 Mn |
| Mar 31, 2016 | 107.51 Mn |
B2Gold 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=accumulated-expenses&ticker=BTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BTG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();