Pg&E (PCG) Accumulated Expenses (2009 - 2026)
Pg&E's Accumulated Expenses was $6 million in Q4 2017, down 14.3% from $7 million a year earlier.
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Analysis
Pg&E (PCG) Accumulated Expenses (2009 - 2026) Analysis & Trends
From Q2 2009 onward, Pg&E has reported Accumulated Expenses for 16 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -34.0% (FY2012 to FY2017).
- In earlier years, Accumulated Expenses was $7 million in FY2016 (+133.3%), $3 million in FY2015 (-95.5%), $67 million in FY2014 (-69.7%) and $221 million in FY2013 (+360.4%).
- The Q4 2017 figure marks the lowest quarterly Accumulated Expenses since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nextera Energy | 178.52 Bn | 165.27 Bn | - |
| 2 | Southern | 107.79 Bn | 98.84 Bn | 5.92 Bn |
| 3 | Duke Energy | 100.04 Bn | 100.04 Bn | - |
| 4 | National Grid | 83.53 Bn | 55.82 Bn | - |
| 5 | American Electric Power | 70.90 Bn | 68.07 Bn | 3.84 Bn |
| 6 | Dominion Energy | 59.77 Bn | 57.76 Bn | - |
| 7 | Sempra | 56.38 Bn | 55.50 Bn | 2.89 Bn |
| 8 | Entergy | 50.50 Bn | 39.63 Bn | - |
| 9 | Xcel Energy | 49.96 Bn | 43.43 Bn | - |
| 10 | Pg&E | 29.26 Bn | 26.04 Bn | 4.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 833.00 Mn |
| Mar 31, 2026 | 710.00 Mn |
| Dec 31, 2025 | 764.00 Mn |
| Sep 30, 2025 | 657.00 Mn |
| Jun 30, 2025 | 767.00 Mn |
| Mar 31, 2025 | 688.00 Mn |
| Dec 31, 2024 | 760.00 Mn |
| Sep 30, 2024 | 651.00 Mn |
| Jun 30, 2024 | 723.00 Mn |
| Mar 31, 2024 | 581.00 Mn |
| Dec 31, 2023 | 679.00 Mn |
| Sep 30, 2023 | 592.00 Mn |
| Jun 30, 2023 | 662.00 Mn |
| Mar 31, 2023 | 566.00 Mn |
| Dec 31, 2022 | 626.00 Mn |
| Sep 30, 2022 | 439.00 Mn |
| Jun 30, 2022 | 552.00 Mn |
| Mar 31, 2022 | 331.00 Mn |
| Dec 31, 2021 | 481.00 Mn |
| Sep 30, 2021 | 305.00 Mn |
API Access
Pg&E Accumulated 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=accumulated-expenses&ticker=PCG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PCG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();