Public Service Enterprise (PEG) Total Non-Current Liabilities (2009 - 2026)
Public Service Enterprise (PEG) recorded Total Non-Current Liabilities of $13.55 billion in Q2 2026, up 3.2% from $13.13 billion a year earlier and up 0.9% from the prior quarter.
Public Service Enterprise (PEG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Public Service Enterprise reported Total Non-Current Liabilities of $13.18 billion, up 1.0% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $13.06 billion in FY2024 (+5.1%), $12.42 billion in FY2023 (+5.2%), $11.81 billion in FY2022 (-3.7%) and $12.27 billion in FY2021 (-12.7%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q2 2021.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 14 consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 8.3% in Q3 2024, against a decline of 15.1% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.43 billion (Q1 2026), $13.18 billion (Q4 2025) and $13.23 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 135.67 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 68.94 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 132.53 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | 77.92 Bn |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 74.06 Bn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 58.73 Bn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 71.47 Bn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 51.46 Bn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 44.62 Bn |
| 10 | Public Service Enterprise | 35.07 Bn | 34.01 Bn | 1.86 Bn | 13.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.55 Bn |
| Mar 31, 2026 | 13.43 Bn |
| Dec 31, 2025 | 13.18 Bn |
| Sep 30, 2025 | 13.23 Bn |
| Jun 30, 2025 | 13.13 Bn |
| Mar 31, 2025 | 12.99 Bn |
| Dec 31, 2024 | 13.06 Bn |
| Sep 30, 2024 | 13.17 Bn |
| Jun 30, 2024 | 12.61 Bn |
| Mar 31, 2024 | 12.52 Bn |
| Dec 31, 2023 | 12.42 Bn |
| Sep 30, 2023 | 12.16 Bn |
| Jun 30, 2023 | 12.31 Bn |
| Mar 31, 2023 | 12.10 Bn |
| Dec 31, 2022 | 11.81 Bn |
| Sep 30, 2022 | 11.53 Bn |
| Jun 30, 2022 | 11.78 Bn |
| Mar 31, 2022 | 11.92 Bn |
| Dec 31, 2021 | 12.27 Bn |
| Sep 30, 2021 | 12.83 Bn |
Public Service Enterprise Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();