Hoyne Bancorp (HYNE) Operating Expenses (2024 - 2026)
Hoyne Bancorp's Operating Expenses came in at $4.54 million for Q2 2026, up 39.5% from $3.26 million a year earlier and up 0.4% from the prior quarter.
Hoyne Bancorp (HYNE) Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hoyne Bancorp reported Operating Expenses of $17.14 million, up 26.2% year-over-year; for FY2025, it was $14.75 million, up 10.8% from FY2024.
- Going back by year, Operating Expenses was $13.32 million in FY2024.
- The five-year range for quarterly Operating Expenses is $3.19 million (Q3 2024) to $4.66 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 26.0% over the last four quarters.
- Business Quant data shows HYNE's Operating Expenses at $4.52 million (Q1 2026), $4.66 million (Q4 2025) and $3.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Hoyne Bancorp | 134.41 Mn | 134.41 Mn | - | 4.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.54 Mn |
| Mar 31, 2026 | 4.52 Mn |
| Dec 31, 2025 | 4.66 Mn |
| Sep 30, 2025 | 3.42 Mn |
| Jun 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 3.42 Mn |
| Dec 31, 2024 | 3.73 Mn |
| Sep 30, 2024 | 3.19 Mn |
Hoyne Bancorp 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=HYNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HYNE", "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=HYNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();