Xcel Energy (XEL) Operations and Maintenance (2009 - 2026)
Xcel Energy's Operations and Maintenance came in at $759 million for Q3 2026, up 9.7% from $692 million a year earlier and up 9.8% from the prior quarter.
Xcel Energy (XEL) Operations and Maintenance (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Xcel Energy reported Operations and Maintenance of $2.8 billion, up 5.0% year-over-year; for FY2025, it was $2.73 billion, up 7.6% from FY2024.
- Operations and Maintenance carries a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by year, Operations and Maintenance was $2.54 billion in FY2024 (+3.9%), $2.44 billion in FY2023 (-1.9%), $2.49 billion in FY2022 (+7.3%) and $2.32 billion in FY2021 (-0.1%).
- The Q3 2026 figure represents the highest quarterly Operations and Maintenance in data going back to Q2 2010.
- Year-over-year, Operations and Maintenance increased in seven of the last eight quarters, with growth averaging 6.0%.
- The fastest year-over-year change in Operations and Maintenance over five years came in Q4 2022 (growth of 16.7%), and the weakest in Q4 2023 (a decline of 12.7%).
- Business Quant data shows XEL's Operations and Maintenance at $691 million (Q2 2026), $675 million (Q1 2026) and $679 million (Q4 2025) in the three quarters before Q3 2026.
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 | Xcel Energy | 50.89 Bn | 44.36 Bn | - | 759.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 759.00 Mn |
| Jun 30, 2026 | 691.00 Mn |
| Mar 31, 2026 | 675.00 Mn |
| Dec 31, 2025 | 679.00 Mn |
| Sep 30, 2025 | 692.00 Mn |
| Jun 30, 2025 | 675.00 Mn |
| Mar 31, 2025 | 686.00 Mn |
| Dec 31, 2024 | 618.00 Mn |
| Sep 30, 2024 | 655.00 Mn |
| Jun 30, 2024 | 662.00 Mn |
| Mar 31, 2024 | 605.00 Mn |
| Dec 31, 2023 | 580.00 Mn |
| Sep 30, 2023 | 586.00 Mn |
| Jun 30, 2023 | 628.00 Mn |
| Mar 31, 2023 | 650.00 Mn |
| Dec 31, 2022 | 664.00 Mn |
| Sep 30, 2022 | 611.00 Mn |
| Jun 30, 2022 | 614.00 Mn |
| Mar 31, 2022 | 602.00 Mn |
| Dec 31, 2021 | 569.00 Mn |
Xcel Energy 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=XEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operations-and-maintenance", "ticker": "XEL", "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=XEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();