Hydro One Ltd (HRNNF) Other Operating Expenses (2017 - 2018)
Hydro One's Other Operating Expenses came in at $729,206 for the quarter ended Mar 31, 2026, compared with -$696,916 a year earlier and up 1.7% from the prior quarter.
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Hydro One Ltd (HRNNF) Other Operating Expenses (2017 - 2018) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Hydro One reported Other Operating Expenses of $3.62 million; for the year ended Dec 31, 2025, it was $2.15 million.
- Going back by year, Other Operating Expenses was -$6.44 million in the year ended Dec 31, 2024, -$10.28 million in the year ended Dec 31, 2023, $3.85 billion in the year ended Dec 31, 2022 and $13.49 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Other Operating Expenses is -$4.4 million (the quarter ended Sep 30, 2024) to $7.14 million (the quarter ended Dec 31, 2021).
- Business Quant data shows HRNNF's Other Operating Expenses at $717,086 (quarter ended Dec 31, 2025), $726,635 (quarter ended Sep 30, 2025) and $1.44 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -869.74 Mn |
| Mar 31, 2018 | -724.34 Mn |
| Dec 31, 2017 | -620.02 Mn |
| Sep 30, 2017 | 191.23 Mn |
| Mar 31, 2017 | 244.40 Mn |
API Access
Hydro One Ltd Other 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=other-operating-expenses&ticker=HRNNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=HRNNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();