Algonquin Power & Utilities Corp. (AQN) Total Operating Expenses (2009 - 2026)
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Analysis
Algonquin Power & Utilities Corp. (AQN) Total Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460.30 Mn |
| Mar 31, 2026 | 9.72 Bn |
| Dec 31, 2025 | 16.70 Mn |
| Jun 30, 2025 | 463.00 Mn |
| Dec 31, 2024 | 7.10 Mn |
| Jun 30, 2024 | 429.80 Mn |
| Mar 31, 2024 | 9.45 Bn |
| Dec 31, 2023 | 20.50 Mn |
| Sep 30, 2023 | 27.84 Mn |
| Jun 30, 2023 | 534.16 Mn |
| Mar 31, 2023 | 12.07 Bn |
| Dec 31, 2022 | 19.23 Mn |
| Sep 30, 2022 | 23.45 Mn |
| Jun 30, 2022 | 512.35 Mn |
| Mar 31, 2022 | 11.79 Bn |
| Dec 31, 2021 | 17.80 Mn |
| Sep 30, 2021 | 15.17 Mn |
| Jun 30, 2021 | 442.11 Mn |
| Mar 31, 2021 | 9.79 Bn |
| Dec 31, 2020 | 12.57 Mn |
API Access
Algonquin Power & Utilities Corp. Total 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=total-operating-expenses&ticker=AQN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "ticker": "AQN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-operating-expenses&ticker=AQN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();