Middlesex Water (MSEX) Operating Expenses (2010 - 2026)
Middlesex Water's Operating Expenses came in at $38.13 million for Q2 2026, up 7.7% from $35.41 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Middlesex Water (MSEX) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Middlesex Water reported Operating Expenses of $145.9 million, up 2.5% year-over-year; for FY2025, it was $140.32 million, up 1.2% from FY2024.
- Operating Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $138.67 million in FY2024 (+9.1%), $127.05 million in FY2023 (+5.6%), $120.33 million in FY2022 (+9.5%) and $109.93 million in FY2021 (+5.5%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 6.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 20.5%), and the weakest in Q3 2025 (a decline of 3.2%).
- Business Quant data shows MSEX's Operating Expenses at $35.61 million (Q1 2026), $35.77 million (Q4 2025) and $36.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 813.00 Mn |
| 10 | Middlesex Water | 998.11 Mn | 988.09 Mn | - | 38.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.13 Mn |
| Mar 31, 2026 | 35.61 Mn |
| Dec 31, 2025 | 35.77 Mn |
| Sep 30, 2025 | 36.39 Mn |
| Jun 30, 2025 | 35.41 Mn |
| Mar 31, 2025 | 32.74 Mn |
| Dec 31, 2024 | 36.58 Mn |
| Sep 30, 2024 | 37.60 Mn |
| Jun 30, 2024 | 33.83 Mn |
| Mar 31, 2024 | 30.66 Mn |
| Dec 31, 2023 | 30.36 Mn |
| Sep 30, 2023 | 33.89 Mn |
| Jun 30, 2023 | 32.13 Mn |
| Mar 31, 2023 | 30.67 Mn |
| Dec 31, 2022 | 30.68 Mn |
| Sep 30, 2022 | 31.16 Mn |
| Jun 30, 2022 | 29.60 Mn |
| Mar 31, 2022 | 28.91 Mn |
| Dec 31, 2021 | 27.69 Mn |
| Sep 30, 2021 | 28.45 Mn |
API Access
Middlesex Water 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=MSEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MSEX", "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=MSEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();