Kearny Financial (KRNY) Retained Earnings (2014 - 2026)
Kearny Financial's Retained Earnings was $353.06 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 2.5% from $344.29 million a year earlier and up 0.9% from the prior quarter.
Kearny Financial (KRNY) Retained Earnings (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Retained Earnings at Kearny Financial came in at $350.05 million, up 2.4% from FY2025.
- Retained Earnings shows a five-year compound annual growth rate of -3.0% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $341.74 million in FY2025 (-0.5%), $343.33 million in FY2024 (-25.0%), $457.61 million in FY2023 (+2.7%) and $445.45 million in FY2022 (+9.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Retained Earnings since fiscal Q3 2024.
- Compared with a year earlier, Retained Earnings has increased for five straight quarters, with an average decline of 4.5% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was fiscal Q2 2022 (growth of 11.1%); the worst was fiscal Q1 2025 (a decline of 25.6%).
- Per Business Quant data, KRNY's Retained Earnings in the three fiscal quarters before Q1 2027 was $350.05 million (Q4 2026), $349.88 million (Q3 2026) and $346.75 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 455.59 Bn |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 274.52 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 73.85 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 241.40 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 101.18 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 56.30 Bn |
| 10 | Kearny Financial | 573.02 Mn | 573.02 Mn | - | 353.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 353.06 Mn |
| Jun 30, 2026 | 350.05 Mn |
| Mar 31, 2026 | 349.88 Mn |
| Dec 31, 2025 | 346.75 Mn |
| Sep 30, 2025 | 344.29 Mn |
| Jun 30, 2025 | 341.74 Mn |
| Mar 31, 2025 | 341.92 Mn |
| Dec 31, 2024 | 342.16 Mn |
| Sep 30, 2024 | 342.52 Mn |
| Jun 30, 2024 | 343.33 Mn |
| Mar 31, 2024 | 440.31 Mn |
| Dec 31, 2023 | 439.76 Mn |
| Sep 30, 2023 | 460.46 Mn |
| Jun 30, 2023 | 457.61 Mn |
| Mar 31, 2023 | 452.61 Mn |
| Dec 31, 2022 | 449.49 Mn |
| Sep 30, 2022 | 454.71 Mn |
| Jun 30, 2022 | 445.45 Mn |
| Mar 31, 2022 | 441.52 Mn |
| Dec 31, 2021 | 431.55 Mn |
Kearny Financial Retained Earnings 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=retained-earnings&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();