Antero Resources (AR) Non Operating Interest Expenses (2012 - 2018)
Antero Resources (AR) posted Non Operating Interest Expenses of $78.44 million for Q4 2018, up 23.7% from $63.39 million a year earlier and up 5.2% from the prior quarter.
Antero Resources (AR) Non Operating Interest Expenses (2012 - 2018) Analysis & Trends
For FY2018, Antero Resources' Non Operating Interest Expenses came in at $286.74 million, up 6.7% from FY2017.
- Annual Non Operating Interest Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 16.0% (FY2013 to FY2018).
- In prior years, Antero Resources' Non Operating Interest Expenses was $268.7 million in FY2017 (+6.0%), $253.55 million in FY2016 (+8.2%), $234.4 million in FY2015 (+46.5%) and $160.05 million in FY2014 (+17.2%).
- The Q4 2018 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q3 2012.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last three quarters, with growth averaging 6.7% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2015, with growth of 69.7%; the weakest was Q4 2017, with a decline of 6.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $74.53 million (Q3 2018), $69.35 million (Q2 2018) and $64.43 million (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 1.11 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 352.00 Mn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | -572.00 Mn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | -2.40 Bn |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 182.00 Mn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | - |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 314.00 Mn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 172.06 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | - |
| 10 | Antero Resources | 10.31 Bn | 10.31 Bn | -9.48 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 78.44 Mn |
| Sep 30, 2018 | 74.53 Mn |
| Jun 30, 2018 | 69.35 Mn |
| Mar 31, 2018 | 64.43 Mn |
| Dec 31, 2017 | 63.39 Mn |
| Sep 30, 2017 | 70.06 Mn |
| Jun 30, 2017 | 68.58 Mn |
| Mar 31, 2017 | 66.67 Mn |
| Dec 31, 2016 | 67.92 Mn |
| Sep 30, 2016 | 59.76 Mn |
| Jun 30, 2016 | 62.60 Mn |
| Mar 31, 2016 | 63.28 Mn |
| Dec 31, 2015 | 60.47 Mn |
| Sep 30, 2015 | 60.92 Mn |
| Jun 30, 2015 | 59.82 Mn |
| Mar 31, 2015 | 53.19 Mn |
| Dec 31, 2014 | 48.99 Mn |
| Sep 30, 2014 | 42.46 Mn |
| Jun 30, 2014 | 37.26 Mn |
| Mar 31, 2014 | 31.34 Mn |
Antero Resources Non Operating Interest 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=non-operating-interest-expenses&ticker=AR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "AR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=AR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();