Southern (SO) Total Liabilities (2009 - 2026)
Southern (SO) posted Total Liabilities of $104.13 billion for Q2 2026, up 8.2% from $96.23 billion a year earlier but down 11.1% from the prior quarter.
Southern (SO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Southern's Total Liabilities came in at $119.7 billion, up 10.3% from FY2024.
- Annual Total Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Southern's Total Liabilities was $108.51 billion in FY2024 (+4.2%), $104.11 billion in FY2023 (+3.7%), $100.36 billion in FY2022 (+5.4%) and $95.26 billion in FY2021 (+5.0%).
- Quarterly Total Liabilities has run from a low of $94.64 billion in Q3 2021 to a high of $119.7 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 4.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 10.3%; the weakest was Q2 2025, with a decline of 9.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $117.12 billion (Q1 2026), $119.7 billion (Q4 2025) and $114.97 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn | 14.09 Bn |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn | 6.90 Bn |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - | 172.19 Bn |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn | 103.41 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn | 146.32 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - | 90.83 Bn |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn | 91.65 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - | 61.96 Bn |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - | 106.53 Bn |
| 10 | Xcel Energy | 50.89 Bn | 44.36 Bn | - | 65.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 103.41 Bn |
| Jun 30, 2026 | 104.13 Bn |
| Mar 31, 2026 | 100.44 Bn |
| Dec 31, 2025 | 119.70 Bn |
| Sep 30, 2025 | 99.62 Bn |
| Jun 30, 2025 | 96.23 Bn |
| Mar 31, 2025 | 110.89 Bn |
| Dec 31, 2024 | 111.97 Bn |
| Sep 30, 2024 | 107.05 Bn |
| Jun 30, 2024 | 105.83 Bn |
| Mar 31, 2024 | 104.51 Bn |
| Dec 31, 2023 | 104.11 Bn |
| Sep 30, 2023 | 103.02 Bn |
| Jun 30, 2023 | 102.47 Bn |
| Mar 31, 2023 | 100.19 Bn |
| Dec 31, 2022 | 100.36 Bn |
| Sep 30, 2022 | 98.53 Bn |
| Jun 30, 2022 | 97.76 Bn |
| Mar 31, 2022 | 96.01 Bn |
| Dec 31, 2021 | 95.26 Bn |
Southern 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=SO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SO", "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=SO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();