GeoPark (GPRK) Net Income Attributable to Noncontrolling Interests (2012 - 2018)
GeoPark's Net Income Attributable to Noncontrolling Interests came in at $9.32 million for Q4 2018, up 747.2% from $1.1 million a year earlier and up 12.5% from the prior quarter.
GeoPark (GPRK) Net Income Attributable to Noncontrolling Interests (2012 - 2018) Analysis & Trends
For FY2018, GeoPark's Net Income Attributable to Noncontrolling Interests was $30.25 million, up 373.4% from FY2017.
- Net Income Attributable to Noncontrolling Interests carries a five-year compound annual growth rate of 19.5% (FY2013 to FY2018).
- Going back by year, Net Income Attributable to Noncontrolling Interests was $6.39 million in FY2017, -$11.55 million in FY2016, -$50.54 million in FY2015 and $7.85 million in FY2014 (-36.8%).
- The Q4 2018 figure represents the highest quarterly Net Income Attributable to Noncontrolling Interests since Q3 2013.
- Year-over-year, Net Income Attributable to Noncontrolling Interests has increased for four consecutive quarters, with growth averaging 498.8% over the last four quarters.
- Business Quant data shows GPRK's Net Income Attributable to Noncontrolling Interests at $8.29 million (Q3 2018), $6.22 million (Q2 2018) and $6.43 million (Q1 2018) in the three quarters before Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 609.00 Mn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 88.00 Mn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 124.00 Mn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 100.00 Mn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 330.17 Mn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | - |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 9.00 Mn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | - |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 23.00 Mn |
| 10 | GeoPark | 487.60 Mn | -457.36 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 9.32 Mn |
| Sep 30, 2018 | 8.29 Mn |
| Jun 30, 2018 | 6.22 Mn |
| Mar 31, 2018 | 6.43 Mn |
| Dec 31, 2017 | 1.10 Mn |
| Sep 30, 2017 | 844,000.00 |
| Jun 30, 2017 | 2.30 Mn |
| Mar 31, 2017 | 2.17 Mn |
| Dec 31, 2016 | -5.60 Mn |
| Sep 30, 2016 | -2.88 Mn |
| Jun 30, 2016 | -300,000.00 |
| Mar 31, 2016 | -2.80 Mn |
| Dec 31, 2015 | -43.80 Mn |
| Sep 30, 2015 | -1.48 Mn |
| Jun 30, 2015 | -1.86 Mn |
| Mar 31, 2015 | -3.36 Mn |
| Dec 31, 2014 | 8.40 Mn |
| Sep 30, 2014 | 3.45 Mn |
| Jun 30, 2014 | 5.60 Mn |
| Mar 31, 2014 | 3.60 Mn |
GeoPark Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=GPRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "GPRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-from-non-controlling-interests&ticker=GPRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();