Kearny Financial (KRNY) Enterprise Value (2013 - 2026)
Kearny Financial (KRNY) posted Enterprise Value of $496.08 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 98.5% from $249.9 million a year earlier and up 35.9% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Enterprise Value (2013 - 2026) Analysis & Trends
Since fiscal Q1 2014, Kearny Financial has reported Enterprise Value for 52 quarters.
- Annual Enterprise Value shows a five-year compound annual growth rate of -10.7% (FY2021 to FY2026).
- In prior fiscal years, Kearny Financial's Enterprise Value was $249.9 million in FY2025 (-24.8%), $332.41 million in FY2024 (-15.6%), $393.83 million in FY2023 (-40.4%) and $661.27 million in FY2022 (-24.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Enterprise Value since fiscal Q2 2024.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with growth averaging 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2026, with growth of 98.5%; the weakest was fiscal Q3 2023, with a decline of 58.9%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $364.94 million (Q3 2026), $332.38 million (Q2 2026) and $295.2 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Kearny Financial | 591.53 Mn | 75.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 496.08 Mn |
| Mar 31, 2026 | 364.94 Mn |
| Dec 31, 2025 | 332.38 Mn |
| Sep 30, 2025 | 295.20 Mn |
| Jun 30, 2025 | 249.90 Mn |
| Mar 31, 2025 | 278.17 Mn |
| Dec 31, 2024 | 315.67 Mn |
| Sep 30, 2024 | 288.09 Mn |
| Jun 30, 2024 | 332.41 Mn |
| Mar 31, 2024 | 343.95 Mn |
| Dec 31, 2023 | 504.21 Mn |
| Sep 30, 2023 | 394.15 Mn |
| Jun 30, 2023 | 393.83 Mn |
| Mar 31, 2023 | 346.87 Mn |
| Dec 31, 2022 | 608.33 Mn |
| Sep 30, 2022 | 625.42 Mn |
| Jun 30, 2022 | 661.27 Mn |
| Mar 31, 2022 | 844.65 Mn |
| Dec 31, 2021 | 912.80 Mn |
| Sep 30, 2021 | 888.12 Mn |
API Access
Kearny Financial Enterprise Value 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=enterprise-value&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();