PG&E Corp (PCG) Operating Expenses (2009 - 2011)
Pg&E (PCG) posted Operating Expenses of $3.1 billion for Q1 2011, down 0.51% on a QoQ basis from $3.1 billion in Q4 2010, and up 8.96% year-over-year from $2.9 billion in Q1 2010.
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PG&E Corp (PCG) Operating Expenses (2009 - 2011) Analysis & Trends
Pg&E has reported Operating Expenses for 3 years, with the latest figure at $3.1 billion in Q1 2011.
- On a quarterly basis, Operating Expenses rose 8.96% year-over-year to $3.1 billion in Q1 2011; TTM through Mar 2011 was $11.8 billion, a 6.79% increase from a year earlier, with the FY2010 full-year figure at $11.5 billion, up 3.9% from the prior year.
- Operating Expenses was $3.1 billion for Q1 2011 at Pg&E, down from $3.1 billion in the prior quarter.
- The five-year high for Operating Expenses was $3.1 billion in Q4 2010, with the low at $2.5 billion in Q2 2010.
- Average Operating Expenses over 3 years is $2.9 billion, with a median of $2.9 billion recorded in 2009.
- The largest YoY upside for Operating Expenses was 14.54% in 2010 against a maximum downside of 2.09% in 2010.
- Over 3 years, Operating Expenses stood at $3.0 billion in 2009, then increased by 3.75% to $3.1 billion in 2010, then slipped by 0.51% to $3.1 billion in 2011.
- The last three Operating Expenses figures came in at $3.1 billion (Q1 2011), $3.1 billion (Q4 2010), and $3.0 billion (Q3 2010), per Business Quant data.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | 3.11 Bn |
| Dec 31, 2010 | 3.13 Bn |
| Sep 30, 2010 | 3.01 Bn |
| Jun 30, 2010 | 2.54 Bn |
| Mar 31, 2010 | 2.86 Bn |
| Dec 31, 2009 | 3.02 Bn |
| Sep 30, 2009 | 2.63 Bn |
| Jun 30, 2009 | 2.54 Bn |
| Mar 31, 2009 | 2.92 Bn |
API Access
PG&E 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=PCG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PCG", "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=PCG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();