Hennessy Advisors (HNNA) Operating Expenses (2010 - 2026)
Hennessy Advisors (HNNA) reported Operating Expenses of $5.48 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.2% from $5.21 million a year earlier but down 0.8% from the prior quarter.
Hennessy Advisors (HNNA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hennessy Advisors' Operating Expenses came in at $22.2 million, down 2.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $22.39 million, up 7.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $20.78 million in FY2024 (+17.5%), $17.69 million in FY2023 (-10.8%), $19.83 million in FY2022 (-9.4%) and $21.88 million in FY2021 (-0.9%).
- Five-year quarterly Operating Expenses spans a low of $4.32 million in fiscal Q3 2023 and a high of $5.88 million in fiscal Q1 2025.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 7.7%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2024 (growth of 29.7%); the low point was fiscal Q4 2022 (a decline of 21.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $5.52 million (Q2 2026), $5.72 million (Q1 2026) and $5.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 2.38 Bn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Hennessy Advisors | 79.28 Mn | -173.57 Mn | - | 5.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.48 Mn |
| Mar 31, 2026 | 5.52 Mn |
| Dec 31, 2025 | 5.72 Mn |
| Sep 30, 2025 | 5.49 Mn |
| Jun 30, 2025 | 5.21 Mn |
| Mar 31, 2025 | 5.83 Mn |
| Dec 31, 2024 | 5.88 Mn |
| Sep 30, 2024 | 5.84 Mn |
| Jun 30, 2024 | 5.20 Mn |
| Mar 31, 2024 | 5.02 Mn |
| Dec 31, 2023 | 4.72 Mn |
| Sep 30, 2023 | 4.50 Mn |
| Jun 30, 2023 | 4.32 Mn |
| Mar 31, 2023 | 4.32 Mn |
| Dec 31, 2022 | 4.54 Mn |
| Sep 30, 2022 | 4.43 Mn |
| Jun 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 5.07 Mn |
| Dec 31, 2021 | 5.75 Mn |
| Sep 30, 2021 | 5.64 Mn |
Hennessy Advisors 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=HNNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HNNA", "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=HNNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();