Southern (SO) Asset Writedowns and Impairment (2018 - 2024)
Southern's Asset Writedowns and Impairment was $36 million in Q3 2024.
Analysis
Southern (SO) Asset Writedowns and Impairment (2018 - 2024) Analysis & Trends
On a trailing twelve-month basis, Southern's Asset Writedowns and Impairment was -$34 million through Sep 30, 2024; for FY2019, it was $168 million, down 20.0% from FY2018.
- Asset Writedowns and Impairment shows a four-year compound annual growth rate of 86.1% (FY2015 to FY2019).
- In earlier years, Asset Writedowns and Impairment was $210 million in FY2018 and $14 million in FY2015.
- The Q3 2024 figure marks the highest quarterly Asset Writedowns and Impairment since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - |
| 10 | Xcel Energy | 44.58 Bn | 39.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 36.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
| Jun 30, 2021 | 82.00 Mn |
| Dec 31, 2020 | -154.00 Mn |
| Jun 30, 2020 | 154.00 Mn |
| Sep 30, 2019 | 110.00 Mn |
| Jun 30, 2019 | 32.00 Mn |
| Sep 30, 2018 | 36.00 Mn |
| Jun 30, 2018 | 119.00 Mn |
| Mar 31, 2018 | 42.00 Mn |
API Access
Southern Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=SO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();