Chesapeake Utilities (CPK) Operating Expenses (2010 - 2026)
Chesapeake Utilities (CPK) reported Operating Expenses of $149 million for Q2 2026, up 4.6% from $142.5 million a year earlier but down 41.3% from the prior quarter.
Chesapeake Utilities (CPK) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Chesapeake Utilities' Operating Expenses came in at $722.4 million, up 16.2% year-over-year; for FY2025, it was $674.1 million, up 20.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $559 million in FY2024 (+7.5%), $519.8 million in FY2023 (-3.3%), $537.8 million in FY2022 (+22.5%) and $438.86 million in FY2021 (+16.9%).
- Five-year quarterly Operating Expenses spans a low of $87.22 million in Q3 2021 and a high of $253.7 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 14.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 28.9%); the low point was Q2 2023 (a decline of 5.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $253.7 million (Q1 2026), $185.1 million (Q4 2025) and $134.6 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 | 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 | Chesapeake Utilities | 3.07 Bn | 3.06 Bn | 150.20 Mn | 149.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.00 Mn |
| Mar 31, 2026 | 253.70 Mn |
| Dec 31, 2025 | 185.10 Mn |
| Sep 30, 2025 | 134.60 Mn |
| Jun 30, 2025 | 142.50 Mn |
| Mar 31, 2025 | 211.90 Mn |
| Dec 31, 2024 | 148.10 Mn |
| Sep 30, 2024 | 119.30 Mn |
| Jun 30, 2024 | 125.50 Mn |
| Mar 31, 2024 | 166.10 Mn |
| Dec 31, 2023 | 138.02 Mn |
| Sep 30, 2023 | 111.32 Mn |
| Jun 30, 2023 | 107.25 Mn |
| Mar 31, 2023 | 163.21 Mn |
| Dec 31, 2022 | 144.38 Mn |
| Sep 30, 2022 | 112.41 Mn |
| Jun 30, 2022 | 113.00 Mn |
| Mar 31, 2022 | 168.02 Mn |
| Dec 31, 2021 | 123.54 Mn |
| Sep 30, 2021 | 87.22 Mn |
Chesapeake 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=CPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CPK", "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=CPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();