Kearny Financial (KRNY) Goodwill & Intangibles (2014 - 2026)
Kearny Financial (KRNY) posted Goodwill & Intangibles of $114.49 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.4% from $114.96 million a year earlier and down 0.1% from the prior quarter.
Kearny Financial (KRNY) Goodwill & Intangibles (2014 - 2026) Analysis & Trends
Since fiscal Q4 2014, Kearny Financial has reported Goodwill & Intangibles for 46 quarters.
- Annual Goodwill & Intangibles has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -11.8% (FY2021 to FY2026).
- In prior fiscal years, Kearny Financial's Goodwill & Intangibles was $114.96 million in FY2025 (-0.4%), $115.46 million in FY2024 (-45.9%), $213.35 million in FY2023 (-0.3%) and $213.92 million in FY2022 (-0.3%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Goodwill & Intangibles since fiscal Q3 2018.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 25 quarters, with an average decline of 17.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Goodwill & Intangibles ran from 0.2% in fiscal Q3 2024 to 46.0% in fiscal Q3 2025.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $114.61 million (Q3 2026), $114.72 million (Q2 2026) and $114.84 million (Q1 2026).
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 | Kearny Financial | 601.86 Mn | 85.72 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.49 Mn |
| Mar 31, 2026 | 114.61 Mn |
| Dec 31, 2025 | 114.72 Mn |
| Sep 30, 2025 | 114.84 Mn |
| Jun 30, 2025 | 114.96 Mn |
| Mar 31, 2025 | 115.08 Mn |
| Dec 31, 2024 | 115.20 Mn |
| Sep 30, 2024 | 115.33 Mn |
| Jun 30, 2024 | 115.46 Mn |
| Mar 31, 2024 | 212.95 Mn |
| Dec 31, 2023 | 213.08 Mn |
| Sep 30, 2023 | 213.22 Mn |
| Jun 30, 2023 | 213.35 Mn |
| Mar 31, 2023 | 213.49 Mn |
| Dec 31, 2022 | 213.63 Mn |
| Sep 30, 2022 | 213.77 Mn |
| Jun 30, 2022 | 213.92 Mn |
| Mar 31, 2022 | 214.06 Mn |
| Dec 31, 2021 | 214.24 Mn |
| Sep 30, 2021 | 214.42 Mn |
Kearny Financial Goodwill & 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=goodwill-and-intangibles&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();