Essential Utilities (WTRG) Operating Expenses (2009 - 2026)
Essential Utilities' Operating Expenses was $337.58 million in Q2 2026, up 2.4% from $329.64 million a year earlier but down 38.7% from the prior quarter.
Essential Utilities (WTRG) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Essential Utilities' Operating Expenses was $1.67 billion through Jun 30, 2026, up 16.5% year-over-year; for FY2025, it was $1.55 billion, up 17.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.33 billion in FY2024 (-2.4%), $1.36 billion in FY2023 (-16.3%), $1.63 billion in FY2022 (+27.6%) and $1.28 billion in FY2021 (+24.1%).
- Quarterly Operating Expenses has moved between $260.41 million (Q3 2021) and $551.12 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 14.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 35.2%); the worst was Q4 2023 (a decline of 43.0%).
- Per Business Quant data, WTRG's Operating Expenses in the three quarters before Q2 2026 was $551.12 million (Q1 2026), $472.11 million (Q4 2025) and $307.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | - |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 813.00 Mn |
| 10 | Essential Utilities | 11.13 Bn | 11.01 Bn | - | 337.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.58 Mn |
| Mar 31, 2026 | 551.12 Mn |
| Dec 31, 2025 | 472.11 Mn |
| Sep 30, 2025 | 307.20 Mn |
| Jun 30, 2025 | 329.64 Mn |
| Mar 31, 2025 | 444.72 Mn |
| Dec 31, 2024 | 377.76 Mn |
| Sep 30, 2024 | 280.17 Mn |
| Jun 30, 2024 | 289.12 Mn |
| Mar 31, 2024 | 381.40 Mn |
| Dec 31, 2023 | 305.45 Mn |
| Sep 30, 2023 | 273.85 Mn |
| Jun 30, 2023 | 281.45 Mn |
| Mar 31, 2023 | 500.98 Mn |
| Dec 31, 2022 | 535.42 Mn |
| Sep 30, 2022 | 308.76 Mn |
| Jun 30, 2022 | 311.02 Mn |
| Mar 31, 2022 | 471.65 Mn |
| Dec 31, 2021 | 396.11 Mn |
| Sep 30, 2021 | 260.41 Mn |
Essential Utilities Operating 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=operating-expenses&ticker=WTRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WTRG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WTRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();