Kearny Financial (KRNY) Return on Equity [ROE] (2014 - 2026)
Kearny Financial (KRNY) posted Return on Equity [ROE] of 4.74% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 1.25 percentage points from 3.49% a year earlier and up 0.02 percentage points from the prior quarter.
Kearny Financial (KRNY) Return on Equity [ROE] (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial's Return on Equity [ROE] came in at 4.79%, up 1.32 percentage points from FY2025.
- Annual Return on Equity [ROE] shows a five-year change of -1.15 percentage points (FY2021 to FY2026).
- In prior fiscal years, Kearny Financial's Return on Equity [ROE] was 3.48% in FY2025 (+14.16 pp), -10.68% in FY2024 (-15.31 pp), 4.63% in FY2023 (-2.35 pp) and 6.97% in FY2022 (+1.03 pp).
- The fiscal Q4 2026 figure stands as the highest quarterly Return on Equity [ROE] since fiscal Q2 2023.
- On a year-over-year basis, Return on Equity [ROE] has increased in each of the last five quarters, with an average year-over-year change of +2.57 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was fiscal Q1 2026, with a gain of 15.95 percentage points; the weakest was fiscal Q1 2025, with a drop of 15.98 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior fiscal quarters was 4.72% (Q3 2026), 4.29% (Q2 2026) and 3.93% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 17.62% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 11.19% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 17.50% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 15.89% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 13.15% |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 17.08% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.67% |
| 10 | Kearny Financial | 591.53 Mn | 75.39 Mn | - | 4.74% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.74% |
| Mar 31, 2026 | 4.72% |
| Dec 31, 2025 | 4.29% |
| Sep 30, 2025 | 3.93% |
| Jun 30, 2025 | 3.49% |
| Mar 31, 2025 | -9.48% |
| Dec 31, 2024 | -9.36% |
| Sep 30, 2024 | -12.01% |
| Jun 30, 2024 | -10.82% |
| Mar 31, 2024 | 1.82% |
| Dec 31, 2023 | 2.16% |
| Sep 30, 2023 | 3.97% |
| Jun 30, 2023 | 4.70% |
| Mar 31, 2023 | 4.62% |
| Dec 31, 2022 | 5.44% |
| Sep 30, 2022 | 7.28% |
| Jun 30, 2022 | 7.31% |
| Mar 31, 2022 | 7.65% |
| Dec 31, 2021 | 7.30% |
| Sep 30, 2021 | 6.96% |
Kearny Financial Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();