Kearny Financial (KRNY) Amortizatization of Intangibles (2014 - 2026)
Kearny Financial (KRNY) recorded Amortizatization of Intangibles of $113,000 in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.2% from $118,000 a year earlier and down 4.2% from the prior quarter.
Kearny Financial (KRNY) Amortizatization of Intangibles (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial reported Amortizatization of Intangibles of $468,000, down 5.5% from FY2025.
- Annual Amortizatization of Intangibles has declined for six straight fiscal years, with a five-year compound annual growth rate of -13.7% (FY2021 to FY2026).
- Across earlier fiscal years, Amortizatization of Intangibles came in at $495,000 in FY2025 (-5.9%), $526,000 in FY2024 (-6.6%), $563,000 in FY2023 (-17.8%) and $685,000 in FY2022 (-30.1%).
- The fiscal Q4 2026 figure is the lowest quarterly Amortizatization of Intangibles since fiscal Q3 2018.
- On a year-over-year basis, Amortizatization of Intangibles has declined for 25 consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Amortizatization of Intangibles ranged from 4.2% (fiscal Q4 2026) to 33.1% (fiscal Q2 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $118,000 (Q3 2026), $118,000 (Q2 2026) and $119,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - | 287.60 Mn |
| 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 | Kearny Financial | 601.86 Mn | 85.72 Mn | - | 113,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113,000.00 |
| Mar 31, 2026 | 118,000.00 |
| Dec 31, 2025 | 118,000.00 |
| Sep 30, 2025 | 119,000.00 |
| Jun 30, 2025 | 118,000.00 |
| Mar 31, 2025 | 125,000.00 |
| Dec 31, 2024 | 126,000.00 |
| Sep 30, 2024 | 126,000.00 |
| Jun 30, 2024 | 126,000.00 |
| Mar 31, 2024 | 132,000.00 |
| Dec 31, 2023 | 134,000.00 |
| Sep 30, 2023 | 134,000.00 |
| Jun 30, 2023 | 133,000.00 |
| Mar 31, 2023 | 142,000.00 |
| Dec 31, 2022 | 144,000.00 |
| Sep 30, 2022 | 144,000.00 |
| Jun 30, 2022 | 146,000.00 |
| Mar 31, 2022 | 178,000.00 |
| Dec 31, 2021 | 180,000.00 |
| Sep 30, 2021 | 181,000.00 |
Kearny Financial Amortizatization of 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=amortizatization-of-intangibles&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "KRNY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();