Amplify Energy (AMPY) Non Operating Interest Expenses (2011 - 2019)
Amplify Energy's Non Operating Interest Expenses was $1.36 million in Q2 2019, up 4.4% from $1.3 million a year earlier and up 45.0% from the prior quarter.
Amplify Energy (AMPY) Non Operating Interest Expenses (2011 - 2019) Analysis & Trends
On a trailing twelve-month basis, Amplify Energy's Non Operating Interest Expenses was $3.67 million through Jun 30, 2019, down 38.9% year-over-year; for FY2018, it was $4.5 million, down 19.5% from FY2017.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -44.2% (FY2013 to FY2018).
- In earlier years, Non Operating Interest Expenses was $5.59 million in FY2017, -$743 million in FY2016, $163.15 million in FY2015 (+18.6%) and $137.55 million in FY2014 (+65.4%).
- The Q2 2019 figure marks the highest quarterly Non Operating Interest Expenses since Q1 2018.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last five quarters, with an average decline of 27.3%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2015 (growth of 32.7%); the worst was Q2 2017 (a decline of 93.5%).
- Per Business Quant data, AMPY's Non Operating Interest Expenses in the three quarters before Q2 2019 was $937,000 (Q1 2019), $713,000 (Q4 2018) and $658,000 (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 183.00 Mn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 304.00 Mn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | -555.00 Mn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | -2.05 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 142.00 Mn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | - |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 157.15 Mn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 243.00 Mn |
| 10 | Amplify Energy | 165.92 Mn | 32.61 Mn | 50.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 1.36 Mn |
| Mar 31, 2019 | 937,000.00 |
| Dec 31, 2018 | 713,000.00 |
| Sep 30, 2018 | 658,000.00 |
| Jun 30, 2018 | 1.30 Mn |
| Mar 31, 2018 | 1.83 Mn |
| Sep 30, 2017 | 1.65 Mn |
| Jun 30, 2017 | 1.23 Mn |
| Mar 31, 2017 | 977,000.00 |
| Sep 30, 2016 | 2.67 Mn |
| Jun 30, 2016 | 18.84 Mn |
| Mar 31, 2016 | 44.21 Mn |
| Sep 30, 2015 | 40.60 Mn |
| Jun 30, 2015 | 44.88 Mn |
| Mar 31, 2015 | 36.50 Mn |
| Dec 31, 2014 | 35.50 Mn |
| Sep 30, 2014 | 34.29 Mn |
| Jun 30, 2014 | 33.81 Mn |
| Mar 31, 2014 | 33.95 Mn |
| Dec 31, 2013 | 29.70 Mn |
Amplify Energy 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=AMPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "AMPY", "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=AMPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();