H2O America (HTO) Change in Accured Expenses (2010 - 2026)
H2O America (HTO) posted Change in Accured Expenses of $12.28 million for Q2 2026, down 18.2% from $15 million a year earlier.
H2O America (HTO) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at H2O America was $1.9 million, down 66.9% year-over-year; for FY2025, it came in at $4.2 million, up 557.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In prior years, H2O America's Change in Accured Expenses was $639,000 in FY2024 (-86.6%), $4.77 million in FY2023 (+90.3%), $2.51 million in FY2022 and -$1.98 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$13.32 million in Q4 2024 to a high of $15.38 million in Q2 2024 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2023, with growth of 250.9%; the weakest was Q3 2024, with a decline of 42.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.39 million (Q1 2026), -$13.14 million (Q4 2025) and $4.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | -460.00 Mn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | - |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 114.00 Mn |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | - |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | -1.74 Mn |
| 10 | H2O America | 2.52 Bn | 2.23 Bn | - | 12.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.28 Mn |
| Mar 31, 2026 | -1.39 Mn |
| Dec 31, 2025 | -13.14 Mn |
| Sep 30, 2025 | 4.15 Mn |
| Jun 30, 2025 | 15.00 Mn |
| Mar 31, 2025 | -1.81 Mn |
| Dec 31, 2024 | -13.32 Mn |
| Sep 30, 2024 | 5.85 Mn |
| Jun 30, 2024 | 15.38 Mn |
| Mar 31, 2024 | -7.27 Mn |
| Dec 31, 2023 | -8.69 Mn |
| Sep 30, 2023 | 10.16 Mn |
| Jun 30, 2023 | 11.27 Mn |
| Mar 31, 2023 | -7.97 Mn |
| Dec 31, 2022 | -7.99 Mn |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 5.46 Mn |
| Mar 31, 2022 | 2.14 Mn |
| Dec 31, 2021 | -11.83 Mn |
| Sep 30, 2021 | 2.74 Mn |
H2O America Change in Accured 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=change-in-accured-expenses&ticker=HTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "HTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=HTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();