York Water (YORW) Operating Expenses (2011 - 2026)
York Water's Operating Expenses came in at $13.71 million for Q2 2026, up 13.2% from $12.11 million a year earlier but down 0.1% from the prior quarter.
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Analysis
York Water (YORW) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, York Water reported Operating Expenses of $52.93 million, up 10.0% year-over-year; for FY2025, it was $49.78 million, up 6.1% from FY2024.
- Operating Expenses has increased in each of the last 15 years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $46.92 million in FY2024 (+13.1%), $41.5 million in FY2023 (+16.6%), $35.58 million in FY2022 (+12.2%) and $31.72 million in FY2021 (+7.8%).
- The five-year range for quarterly Operating Expenses is $7.82 million (Q3 2021) to $13.72 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for 34 consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 3.6% (Q2 2025) to 23.1% (Q2 2023).
- Business Quant data shows YORW's Operating Expenses at $13.72 million (Q1 2026), $13.05 million (Q4 2025) and $12.45 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 | York Water | 496.89 Mn | 496.34 Mn | - | 13.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.71 Mn |
| Mar 31, 2026 | 13.72 Mn |
| Dec 31, 2025 | 13.05 Mn |
| Sep 30, 2025 | 12.45 Mn |
| Jun 30, 2025 | 12.11 Mn |
| Mar 31, 2025 | 12.17 Mn |
| Dec 31, 2024 | 12.16 Mn |
| Sep 30, 2024 | 11.66 Mn |
| Jun 30, 2024 | 11.69 Mn |
| Mar 31, 2024 | 11.41 Mn |
| Dec 31, 2023 | 10.93 Mn |
| Sep 30, 2023 | 10.33 Mn |
| Jun 30, 2023 | 10.25 Mn |
| Mar 31, 2023 | 9.98 Mn |
| Dec 31, 2022 | 9.36 Mn |
| Sep 30, 2022 | 8.96 Mn |
| Jun 30, 2022 | 8.33 Mn |
| Mar 31, 2022 | 8.94 Mn |
| Dec 31, 2021 | 8.28 Mn |
| Sep 30, 2021 | 7.82 Mn |
API Access
York 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=YORW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "YORW", "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=YORW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();