Hydro One (HRNNF) Tax Provisions (2017 - 2026)
Hydro One (HRNNF) posted Tax Provisions of $49.88 million for the quarter ended Jun 30, 2026, up 13.3% from $44.02 million a year earlier and up 66.8% from the prior quarter.
Hydro One (HRNNF) Tax Provisions (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Hydro One was $144.89 million, up 0.2% year-over-year; for the year ended Dec 31, 2025, it came in at $157.04 million, up 21.2% from the prior year.
- In prior years, Hydro One's Tax Provisions was $129.57 million in the year ended Dec 31, 2024 (-0.9%), $130.75 million in the year ended Dec 31, 2023 (-38.4%), $212.17 million in the year ended Dec 31, 2022 (+50.2%) and $141.21 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Tax Provisions since the quarter ended Sep 30, 2022.
- On a year-over-year basis, Tax Provisions increased in seven of the last eight quarters, with growth averaging 21.3%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was the quarter ended Mar 31, 2022, with growth of 284.6%; the weakest was the quarter ended Dec 31, 2023, with a decline of 76.7%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $29.9 million (quarter ended Mar 31, 2026), $21.51 million (quarter ended Dec 31, 2025) and $43.6 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | -98.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 122.00 Mn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | -60.00 Mn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 27.00 Mn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 52.00 Mn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 54.94 Mn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 60.59 Mn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 90.00 Mn |
| 10 | Hydro One | 21.61 Bn | 20.50 Bn | - | 49.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.88 Mn |
| Mar 31, 2026 | 29.90 Mn |
| Dec 31, 2025 | 21.51 Mn |
| Sep 30, 2025 | 43.60 Mn |
| Jun 30, 2025 | 44.02 Mn |
| Mar 31, 2025 | 47.39 Mn |
| Dec 31, 2024 | 12.17 Mn |
| Sep 30, 2024 | 41.05 Mn |
| Jun 30, 2024 | 41.68 Mn |
| Mar 31, 2024 | 37.85 Mn |
| Dec 31, 2023 | 9.55 Mn |
| Sep 30, 2023 | 26.85 Mn |
| Jun 30, 2023 | 48.39 Mn |
| Mar 31, 2023 | 47.34 Mn |
| Dec 31, 2022 | 41.00 Mn |
| Sep 30, 2022 | 76.67 Mn |
| Jun 30, 2022 | 53.34 Mn |
| Mar 31, 2022 | 79.00 Mn |
| Dec 31, 2021 | 43.63 Mn |
| Sep 30, 2021 | 56.40 Mn |
Hydro One Tax Provisions 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=tax-provisions&ticker=HRNNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "HRNNF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=HRNNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();