Pg&E (PCG) Long-Term Debt Repayments (2009 - 2026)
Pg&E (PCG) posted Long-Term Debt Repayments of $260 million for Q2 2026, down 75.2% from $1.05 billion a year earlier and down 56.7% from the prior quarter.
Pg&E (PCG) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Pg&E was $3.69 billion, up 15.2% year-over-year; for FY2025, it came in at $3.88 billion, up 49.1% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 38.4% (FY2020 to FY2025).
- In prior years, Pg&E's Long-Term Debt Repayments was $2.6 billion in FY2024 (-15.4%), $3.08 billion in FY2023 (-48.5%), $5.97 billion in FY2022 and $87 million in FY2021 (-88.6%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q4 2024.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last five quarters, with growth averaging 147.5%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2025, with growth of 680.4%; the weakest was Q2 2023, with a decline of 91.4%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $600 million (Q1 2026), $1.95 billion (Q4 2025) and $875 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 932.00 Mn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 934.00 Mn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 2.58 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 900.00 Mn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 563.00 Mn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 4.53 Bn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 573.89 Mn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | - |
| 10 | Pg&E | 29.32 Bn | 26.10 Bn | 4.99 Bn | 260.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.00 Mn |
| Mar 31, 2026 | 600.00 Mn |
| Dec 31, 2025 | 1.95 Bn |
| Sep 30, 2025 | 875.00 Mn |
| Jun 30, 2025 | 1.05 Bn |
| Dec 31, 2024 | 250.00 Mn |
| Sep 30, 2024 | 1.90 Bn |
| Mar 31, 2024 | 450.00 Mn |
| Dec 31, 2023 | 2.18 Bn |
| Sep 30, 2023 | 507.00 Mn |
| Jun 30, 2023 | 382.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | -12.00 Mn |
| Sep 30, 2022 | 1.53 Bn |
| Jun 30, 2022 | 4.45 Bn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 66.00 Mn |
| Sep 30, 2021 | 7.00 Mn |
| Jun 30, 2021 | 7.00 Mn |
| Mar 31, 2021 | 7.00 Mn |
Pg&E Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PCG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PCG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();