Hoyne Bancorp (HYNE) Change in Accured Expenses (2024 - 2026)
Hoyne Bancorp (HYNE) posted Change in Accured Expenses of $455,819 for Q2 2026, compared with -$353,328 a year earlier.
Hoyne Bancorp (HYNE) Change in Accured Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Hoyne Bancorp was -$1.51 million; for FY2025, it was -$486,873.
- In prior years, Hoyne Bancorp's Change in Accured Expenses was $259,100 in FY2024.
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses since Q1 2025.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$668,819 (Q1 2026), -$900,093 (Q4 2025) and -$400,780 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Hoyne Bancorp | 134.41 Mn | 134.41 Mn | - | 455,819.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 455,819.00 |
| Mar 31, 2026 | -668,819.00 |
| Dec 31, 2025 | -900,093.00 |
| Sep 30, 2025 | -400,780.00 |
| Jun 30, 2025 | -353,328.00 |
| Mar 31, 2025 | 1.17 Mn |
| Dec 31, 2024 | -1.06 Mn |
Hoyne Bancorp Change in Accured 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=change-in-accured-expenses&ticker=HYNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=HYNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();