Public Service Enterprise (PEG) Short-Term Debt repayments (2020 - 2024)
Public Service Enterprise (PEG) reported Short-Term Debt repayments of $500 million for FY2024, down 77.8% from $2.25 billion in FY2023.
Analysis
Public Service Enterprise (PEG) Short-Term Debt repayments (2020 - 2024) Analysis & Trends
Dating back to FY2020, Public Service Enterprise's Short-Term Debt repayments record includes 5 years.
- Short-Term Debt repayments has a four-year compound annual growth rate of 0.0% (FY2020 to FY2024).
- The FY2024 figure ranks as the lowest annual Short-Term Debt repayments since FY2021.
- According to Business Quant data, Short-Term Debt repayments came in at $2.25 billion in FY2023 (-10.0%), $2.5 billion in FY2022 (+733.3%), $300 million in FY2021 (-40.0%) and $500 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 176.23 Bn | 162.98 Bn | - | 650.00 Mn |
| 2 | Southern | 107.15 Bn | 98.21 Bn | 5.92 Bn | - |
| 3 | Duke Energy | 99.14 Bn | 95.40 Bn | 5.66 Bn | 265.00 Mn |
| 4 | National Grid | 82.20 Bn | 54.50 Bn | - | - |
| 5 | American Electric Power | 70.90 Bn | 68.07 Bn | 3.84 Bn | - |
| 6 | Dominion Energy | 59.12 Bn | 57.11 Bn | - | 300.00 Mn |
| 7 | Sempra | 55.84 Bn | 54.96 Bn | 2.89 Bn | - |
| 8 | Entergy | 50.05 Bn | 39.18 Bn | - | - |
| 9 | Xcel Energy | 49.67 Bn | 43.15 Bn | - | - |
| 10 | Public Service Enterprise | 36.47 Bn | 35.40 Bn | 1.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 500.00 Mn |
| Sep 30, 2023 | 250.00 Mn |
| Jun 30, 2023 | 1.25 Bn |
| Mar 31, 2023 | 750.00 Mn |
| Sep 30, 2022 | 1.25 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Mar 31, 2021 | 300.00 Mn |
| Sep 30, 2020 | 500.00 Mn |
API Access
Public Service Enterprise Short-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=short-term-debt-repayments&ticker=PEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "PEG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=PEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();