Atmos Energy (ATO) Operating Expenses (2009 - 2016)
Atmos Energy's Operating Expenses came in at $258.95 million for fiscal Q1 2017 (quarter ended Dec 31, 2016), up 7.1% from $241.7 million a year earlier but down 11.1% from the prior quarter.
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Analysis
Atmos Energy (ATO) Operating Expenses (2009 - 2016) Analysis & Trends
Over the trailing twelve months to Dec 31, 2016, Atmos Energy reported Operating Expenses of $1.09 billion, up 3.2% year-over-year; for FY2016 (ended Sep 30, 2016), it was $1.08 billion, up 2.7% from FY2015.
- Operating Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 4.2% (FY2011 to FY2016).
- Going back by fiscal year, Operating Expenses was $1.05 billion in FY2015 (+8.0%), $971.08 million in FY2014 (+6.7%), $910.17 million in FY2013 (+3.7%) and $877.5 million in FY2012 (+0.3%).
- The five-year range for quarterly Operating Expenses is $207.44 million (fiscal Q1 2013) to $291.38 million (fiscal Q4 2016).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 5.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2012 (growth of 19.1%), and the weakest in fiscal Q3 2012 (a decline of 9.1%).
- Business Quant data shows ATO's Operating Expenses at $291.38 million (Q4 2016), $270.15 million (Q3 2016) and $267.8 million (Q2 2016) in the three fiscal quarters before Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 813.00 Mn |
| 10 | Dte Energy | 25.14 Bn | 24.62 Bn | - | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 258.95 Mn |
| Sep 30, 2016 | 291.38 Mn |
| Jun 30, 2016 | 270.15 Mn |
| Mar 31, 2016 | 267.80 Mn |
| Dec 31, 2015 | 241.70 Mn |
| Sep 30, 2015 | 278.47 Mn |
| Jun 30, 2015 | 264.07 Mn |
| Mar 31, 2015 | 270.53 Mn |
| Dec 31, 2014 | 235.56 Mn |
| Sep 30, 2014 | 253.72 Mn |
| Jun 30, 2014 | 252.93 Mn |
| Mar 31, 2014 | 246.20 Mn |
| Dec 31, 2013 | 218.24 Mn |
| Sep 30, 2013 | 250.06 Mn |
| Jun 30, 2013 | 230.10 Mn |
| Mar 31, 2013 | 222.57 Mn |
| Dec 31, 2012 | 207.44 Mn |
| Sep 30, 2012 | 226.60 Mn |
| Jun 30, 2012 | 211.63 Mn |
| Mar 31, 2012 | 223.36 Mn |
API Access
Atmos Energy Operating 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-expenses&ticker=ATO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ATO", "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-expenses&ticker=ATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();