Hoyne Bancorp (HYNE) Amortization - Intangibles (2024 - 2026)
Hoyne Bancorp's Amortization - Intangibles came in at $46,000 for Q2 2026, unchanged from $46,000 a year earlier and unchanged from the prior quarter.
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Analysis
Hoyne Bancorp (HYNE) Amortization - Intangibles (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hoyne Bancorp reported Amortization - Intangibles of $183,999, unchanged year-over-year; for FY2025, it came in at $184,000, unchanged from FY2024.
- Going back by year, Amortization - Intangibles was $184,000 in FY2024.
- Business Quant data shows HYNE's Amortization - Intangibles at $45,999 (Q1 2026), $46,000 (Q4 2025) and $46,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 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 | - |
| 10 | Hoyne Bancorp | 134.41 Mn | 134.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46,000.00 |
| Mar 31, 2026 | 45,999.00 |
| Dec 31, 2025 | 46,000.00 |
| Sep 30, 2025 | 46,000.00 |
| Jun 30, 2025 | 46,000.00 |
| Mar 31, 2025 | 46,000.00 |
| Dec 31, 2024 | 46,000.00 |
| Sep 30, 2024 | 46,000.00 |
API Access
Hoyne Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=HYNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=HYNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();