Unitil (UTL) Regulatory Liabilities (2014 - 2026)
Unitil's Regulatory Liabilities was $82.3 million in Q3 2026, up 57.7% from $52.2 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Unitil (UTL) Regulatory Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Regulatory Liabilities at Unitil came in at $64.1 million, up 37.0% from FY2024.
- Regulatory Liabilities shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In earlier years, Regulatory Liabilities was $46.8 million in FY2024 (+36.0%), $34.4 million in FY2023 (-6.8%), $36.9 million in FY2022 (-13.4%) and $42.6 million in FY2021 (-3.8%).
- The Q3 2026 figure marks the highest quarterly Regulatory Liabilities in data going back to Q4 2014.
- Compared with a year earlier, Regulatory Liabilities has increased for nine straight quarters, with growth averaging 40.0% over the last eight quarters.
- The best year-over-year quarter for Regulatory Liabilities over five years was Q3 2026 (growth of 57.7%); the worst was Q1 2023 (a decline of 14.0%).
- Per Business Quant data, UTL's Regulatory Liabilities in the three quarters before Q3 2026 was $74 million (Q2 2026), $65 million (Q1 2026) and $64.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Regulatory Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - | - |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - | 13.32 Bn |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn | 15.36 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - | - |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn | 8.75 Bn |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - | 9.42 Bn |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - | 3.90 Bn |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn | 4.40 Bn |
| 10 | Unitil | 1.01 Bn | 953.94 Mn | - | 82.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 82.30 Mn |
| Jun 30, 2026 | 74.00 Mn |
| Mar 31, 2026 | 65.00 Mn |
| Dec 31, 2025 | 64.10 Mn |
| Sep 30, 2025 | 52.20 Mn |
| Jun 30, 2025 | 52.50 Mn |
| Mar 31, 2025 | 52.70 Mn |
| Dec 31, 2024 | 46.80 Mn |
| Sep 30, 2024 | 46.30 Mn |
| Jun 30, 2024 | 33.30 Mn |
| Mar 31, 2024 | 34.00 Mn |
| Dec 31, 2023 | 34.40 Mn |
| Sep 30, 2023 | 34.80 Mn |
| Jun 30, 2023 | 35.50 Mn |
| Mar 31, 2023 | 36.20 Mn |
| Dec 31, 2022 | 36.90 Mn |
| Sep 30, 2022 | 37.90 Mn |
| Jun 30, 2022 | 38.90 Mn |
| Mar 31, 2022 | 42.10 Mn |
| Dec 31, 2021 | 42.60 Mn |
API Access
Unitil Regulatory Liabilities 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=regulatory-liabilities&ticker=UTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "regulatory-liabilities", "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=regulatory-liabilities&ticker=UTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();