Avista (AVA) Operating Expenses (2009 - 2026)
Avista (AVA) reported Operating Expenses of $359 million for Q2 2026, up 1.4% from $354 million a year earlier but down 17.7% from the prior quarter.
Avista (AVA) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Avista's Operating Expenses came in at $1.56 billion, down 3.9% year-over-year; for FY2025, it came in at $1.61 billion, down 1.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.63 billion in FY2024 (+9.2%), $1.49 billion in FY2023 (-1.7%), $1.52 billion in FY2022 (+25.5%) and $1.21 billion in FY2021 (+11.2%).
- Five-year quarterly Operating Expenses spans a low of $271.79 million in Q3 2021 and a high of $508 million in Q1 2024.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 1.2%.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 32.9%); the low point was Q1 2026 (a decline of 11.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $436 million (Q1 2026), $421 million (Q4 2025) and $343 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 813.00 Mn |
| 10 | Avista | 2.91 Bn | 2.20 Bn | - | 359.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 359.00 Mn |
| Mar 31, 2026 | 436.00 Mn |
| Dec 31, 2025 | 421.00 Mn |
| Sep 30, 2025 | 343.00 Mn |
| Jun 30, 2025 | 354.00 Mn |
| Mar 31, 2025 | 492.00 Mn |
| Dec 31, 2024 | 431.00 Mn |
| Sep 30, 2024 | 345.00 Mn |
| Jun 30, 2024 | 347.00 Mn |
| Mar 31, 2024 | 508.00 Mn |
| Dec 31, 2023 | 418.30 Mn |
| Sep 30, 2023 | 341.54 Mn |
| Jun 30, 2023 | 336.13 Mn |
| Mar 31, 2023 | 398.03 Mn |
| Dec 31, 2022 | 446.60 Mn |
| Sep 30, 2022 | 340.04 Mn |
| Jun 30, 2022 | 354.28 Mn |
| Mar 31, 2022 | 379.08 Mn |
| Dec 31, 2021 | 361.43 Mn |
| Sep 30, 2021 | 271.79 Mn |
Avista 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=AVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AVA", "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=AVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();