Pampa Energy (PAM) Operating Interest Expenses (2011 - 2015)
Pampa Energy's Operating Interest Expenses was -$560.63 million in Q4 2015, compared with -$290.2 million a year earlier.
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Analysis
Pampa Energy (PAM) Operating Interest Expenses (2011 - 2015) Analysis & Trends
For FY2015, Operating Interest Expenses at Pampa Energy came in at -$1.26 billion.
- In earlier years, Operating Interest Expenses was -$1.11 billion in FY2014, -$63.99 million in FY2013, -$38.21 million in FY2012 and -$33.74 million in FY2011.
- The Q4 2015 figure marks the lowest quarterly Operating Interest Expenses in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | - |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | - |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | -817.00 Mn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | - |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | - |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | - |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | - |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | - |
| 10 | Pampa Energy | 4.23 Bn | 22.77 Bn | 372.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | -560.63 Mn |
| Mar 31, 2015 | -353.39 Mn |
| Dec 31, 2014 | -290.20 Mn |
| Sep 30, 2014 | -283.20 Mn |
| Jun 30, 2014 | -23.38 Mn |
| Mar 31, 2014 | -268.30 Mn |
| Dec 31, 2013 | -16.60 Mn |
| Sep 30, 2013 | -25.13 Mn |
| Jun 30, 2013 | -7.75 Mn |
| Mar 31, 2013 | -14.11 Mn |
| Dec 31, 2012 | -13.46 Mn |
| Sep 30, 2012 | -7.55 Mn |
| Jun 30, 2012 | -8.51 Mn |
| Mar 31, 2012 | -10.09 Mn |
| Dec 31, 2011 | -5.31 Mn |
| Sep 30, 2011 | -10.25 Mn |
| Jun 30, 2011 | -11.19 Mn |
API Access
Pampa Energy 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=operating-interest-expenses&ticker=PAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "PAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=PAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();