PPL Corp (PPL) Operating Expenses (2009 - 2011)
Ppl's (PPL) quarterly Operating Expenses came in at $1.9 billion in Q2 2011, up 51.88% year-over-year from $1.2 billion in Q2 2010, and down 10.02% quarter-over-quarter from $2.1 billion in Q1 2011.
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PPL Corp (PPL) Operating Expenses (2009 - 2011) Analysis & Trends
Ppl has disclosed Operating Expenses across 3 years of filings, most recently posting $1.9 billion for Q2 2011.
- In Q2 2011, Operating Expenses rose 51.88% year-over-year to $1.9 billion; the TTM figure through Jun 2011 stood at $6.9 billion (changed 0.39% YoY), while the FY2010 annual figure was $6.7 billion, up 1.56% from the prior year.
- Operating Expenses came in at $1.9 billion for Q2 2011 at Ppl, down from $2.1 billion in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $2.5 billion in Q1 2010 to a low of $1.2 billion in Q4 2010.
- Average Operating Expenses over 3 years is $1.7 billion, with a median of $1.6 billion recorded in 2009.
- Year-over-year, Operating Expenses decreased 20.42% in 2010 and surged 51.88% in 2011.
- Over 3 years, Operating Expenses stood at $1.5 billion in 2009, then declined by 16.48% to $1.2 billion in 2010, then soared by 55.12% to $1.9 billion in 2011.
- Per Business Quant data, the three most recent Operating Expenses figures were $1.9 billion in Q2 2011, $2.1 billion in Q1 2011, and $1.2 billion in Q4 2010.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2011 | 1.89 Bn |
| Mar 31, 2011 | 2.11 Bn |
| Dec 31, 2010 | 1.22 Bn |
| Sep 30, 2010 | 1.66 Bn |
| Jun 30, 2010 | 1.25 Bn |
| Mar 31, 2010 | 2.53 Bn |
| Dec 31, 2009 | 1.46 Bn |
| Sep 30, 2009 | 1.61 Bn |
| Jun 30, 2009 | 1.57 Bn |
| Mar 31, 2009 | 1.93 Bn |
API Access
PPL Corp 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=PPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PPL", "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=PPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();