Edison International (EIX) Accumulated Expenses (2009 - 2026)
Edison International's Accumulated Expenses was $558 million in Q2 2026, up 7.3% from $520 million a year earlier.
Analysis
Edison International (EIX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Edison International came in at $473 million, up 12.1% from FY2024.
- In earlier years, Accumulated Expenses was $422 million in FY2024 (+8.2%) and $390 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last six quarters, with growth averaging 9.0%.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.00 Mn |
| Mar 31, 2026 | 504.00 Mn |
| Dec 31, 2025 | 473.00 Mn |
| Sep 30, 2025 | 436.00 Mn |
| Jun 30, 2025 | 520.00 Mn |
| Mar 31, 2025 | 495.00 Mn |
| Dec 31, 2024 | 422.00 Mn |
| Sep 30, 2024 | 452.00 Mn |
| Jun 30, 2024 | 443.00 Mn |
| Mar 31, 2024 | 440.00 Mn |
| Dec 31, 2023 | 390.00 Mn |
| Jun 30, 2020 | 312.00 Mn |
| Dec 31, 2019 | 261.00 Mn |
| Jun 30, 2019 | 257.00 Mn |
| Dec 31, 2018 | 212.00 Mn |
| Sep 30, 2013 | 102.00 Mn |
| Jun 30, 2013 | 199.00 Mn |
| Mar 31, 2013 | 126.00 Mn |
| Dec 31, 2012 | 176.00 Mn |
| Sep 30, 2012 | 207.00 Mn |
API Access
Edison International Accumulated Expenses 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=accumulated-expenses&ticker=EIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=EIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();