Unitil (UTL) Operating Expenses (2010 - 2026)
Unitil (UTL) reported Operating Expenses of $101.6 million for Q2 2026, up 13.8% from $89.3 million a year earlier but down 36.9% from the prior quarter.
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Analysis
Unitil (UTL) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Unitil's Operating Expenses came in at $483.5 million, up 20.8% year-over-year; for FY2025, it came in at $434.8 million, up 7.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $404.2 million in FY2024 (-14.0%), $470 million in FY2023 (-2.6%), $482.7 million in FY2022 (+22.0%) and $395.5 million in FY2021 (+13.9%).
- Five-year quarterly Operating Expenses spans a low of $83.3 million in Q2 2024 and a high of $180.7 million in Q1 2023.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 8.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 48.8%); the low point was Q1 2024 (a decline of 25.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $161 million (Q1 2026), $126.8 million (Q4 2025) and $94.1 million (Q3 2025).
Peer Set
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 | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 813.00 Mn |
| 10 | Unitil | 917.68 Mn | 861.38 Mn | - | 101.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.60 Mn |
| Mar 31, 2026 | 161.00 Mn |
| Dec 31, 2025 | 126.80 Mn |
| Sep 30, 2025 | 94.10 Mn |
| Jun 30, 2025 | 89.30 Mn |
| Mar 31, 2025 | 124.60 Mn |
| Dec 31, 2024 | 99.30 Mn |
| Sep 30, 2024 | 87.10 Mn |
| Jun 30, 2024 | 83.30 Mn |
| Mar 31, 2024 | 134.50 Mn |
| Dec 31, 2023 | 101.80 Mn |
| Sep 30, 2023 | 95.90 Mn |
| Jun 30, 2023 | 91.60 Mn |
| Mar 31, 2023 | 180.70 Mn |
| Dec 31, 2022 | 135.90 Mn |
| Sep 30, 2022 | 103.00 Mn |
| Jun 30, 2022 | 87.00 Mn |
| Mar 31, 2022 | 156.80 Mn |
| Dec 31, 2021 | 113.40 Mn |
| Sep 30, 2021 | 90.90 Mn |
API Access
Unitil 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=UTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UTL", "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=UTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();