Consolidated Edison (ED) Total Liabilities (2009 - 2026)
Consolidated Edison (ED) posted Total Liabilities of $50.74 billion for Q2 2026, up 6.3% from $47.75 billion a year earlier and up 3.2% from the prior quarter.
Consolidated Edison (ED) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Consolidated Edison's Total Liabilities came in at $50.41 billion, up 3.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Consolidated Edison's Total Liabilities was $48.6 billion in FY2024 (+7.6%), $45.17 billion in FY2023 (-6.2%), $48.18 billion in FY2022 (+12.6%) and $42.78 billion in FY2021 (-2.4%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2010.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 12.6%; the weakest was Q4 2023, with a decline of 6.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $49.15 billion (Q1 2026), $50.41 billion (Q4 2025) and $47.68 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | 6.83 Bn |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | 164.71 Bn |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 104.13 Bn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 141.57 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | 92.96 Bn |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 88.28 Bn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 88.29 Bn |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 75.28 Bn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | 60.68 Bn |
| 10 | Consolidated Edison | 38.24 Bn | 34.82 Bn | 2.11 Bn | 50.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.74 Bn |
| Mar 31, 2026 | 49.15 Bn |
| Dec 31, 2025 | 50.41 Bn |
| Sep 30, 2025 | 47.68 Bn |
| Jun 30, 2025 | 47.75 Bn |
| Mar 31, 2025 | 46.91 Bn |
| Dec 31, 2024 | 48.60 Bn |
| Sep 30, 2024 | 46.75 Bn |
| Jun 30, 2024 | 46.36 Bn |
| Mar 31, 2024 | 45.07 Bn |
| Dec 31, 2023 | 45.17 Bn |
| Sep 30, 2023 | 43.33 Bn |
| Jun 30, 2023 | 42.97 Bn |
| Mar 31, 2023 | 41.96 Bn |
| Dec 31, 2022 | 48.18 Bn |
| Sep 30, 2022 | 44.79 Bn |
| Jun 30, 2022 | 44.45 Bn |
| Mar 31, 2022 | 43.11 Bn |
| Dec 31, 2021 | 42.78 Bn |
| Sep 30, 2021 | 42.56 Bn |
Consolidated Edison Total 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-liabilities&ticker=ED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ED", "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-liabilities&ticker=ED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();