Ameren (AEE) Operations and Maintenance (2009 - 2026)
Ameren (AEE) posted Operations and Maintenance of $521 million for Q2 2026, up 13.3% from $460 million a year earlier and up 6.1% from the prior quarter.
Ameren (AEE) Operations and Maintenance (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operations and Maintenance at Ameren was $2.04 billion, up 3.1% year-over-year; for FY2025, it came in at $1.97 billion, up 0.3% from FY2024.
- Annual Operations and Maintenance shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Ameren's Operations and Maintenance was $1.97 billion in FY2024 (+5.5%), $1.87 billion in FY2023 (-3.7%), $1.94 billion in FY2022 (+9.2%) and $1.77 billion in FY2021 (+6.8%).
- Quarterly Operations and Maintenance has run from a low of $448 million in Q1 2023 to a high of $527 million in Q4 2025 over five years.
- On a year-over-year basis, Operations and Maintenance has increased in each of the last three quarters, with growth averaging 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Operations and Maintenance in the past five years was Q2 2022, with growth of 19.2%; the weakest was Q2 2023, with a decline of 8.4%.
- According to Business Quant data, Operations and Maintenance for the three prior quarters was $491 million (Q1 2026), $527 million (Q4 2025) and $502 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | O&M (Qtr) |
|---|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn | - |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn | - |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - | 1.43 Bn |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn | 1.85 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn | 1.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn | 35.25 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - | 832.88 Mn |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - | -1.22 Bn |
| 10 | Ameren | 31.48 Bn | 31.53 Bn | - | 535.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 535.00 Mn |
| Jun 30, 2026 | 521.00 Mn |
| Mar 31, 2026 | 491.00 Mn |
| Dec 31, 2025 | 527.00 Mn |
| Sep 30, 2025 | 502.00 Mn |
| Jun 30, 2025 | 460.00 Mn |
| Mar 31, 2025 | 485.00 Mn |
| Dec 31, 2024 | 514.00 Mn |
| Sep 30, 2024 | 520.00 Mn |
| Jun 30, 2024 | 465.00 Mn |
| Mar 31, 2024 | 470.00 Mn |
| Dec 31, 2023 | 498.00 Mn |
| Sep 30, 2023 | 470.00 Mn |
| Jun 30, 2023 | 450.00 Mn |
| Mar 31, 2023 | 448.00 Mn |
| Dec 31, 2022 | 510.00 Mn |
| Sep 30, 2022 | 475.00 Mn |
| Jun 30, 2022 | 491.00 Mn |
| Mar 31, 2022 | 461.00 Mn |
| Dec 31, 2021 | 485.00 Mn |
Ameren Operations and Maintenance 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=operations-and-maintenance&ticker=AEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operations-and-maintenance", "ticker": "AEE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operations-and-maintenance&ticker=AEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();