Kearny Financial (KRNY) Shares Outstanding (Diluted) (2013 - 2026)
Kearny Financial's Shares Outstanding (Diluted) was 63.22 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.8% from 62.72 million a year earlier and unchanged from the prior quarter.
Kearny Financial (KRNY) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
From fiscal Q1 2014 onward, Kearny Financial has reported Shares Outstanding (Diluted) for 52 quarters.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -5.2% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 62.72 million in FY2025 (+0.4%), 62.44 million in FY2024 (-3.6%), 64.8 million in FY2023 (-8.6%) and 70.93 million in FY2022 (-13.9%).
- Quarterly Shares Outstanding (Diluted) has moved between 62.21 million (fiscal Q3 2024) and 74.56 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for seven straight quarters, with growth averaging 0.5% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q3 2026 (growth of 0.9%); the worst was fiscal Q2 2022 (a decline of 15.4%).
- Per Business Quant data, KRNY's Shares Outstanding (Diluted) in the three fiscal quarters before Q4 2026 was 63.25 million (Q3 2026), 63.06 million (Q2 2026) and 62.95 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Kearny Financial | 591.53 Mn | 75.39 Mn | - | 63.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.22 Mn |
| Mar 31, 2026 | 63.25 Mn |
| Dec 31, 2025 | 63.06 Mn |
| Sep 30, 2025 | 62.95 Mn |
| Jun 30, 2025 | 62.72 Mn |
| Mar 31, 2025 | 62.71 Mn |
| Dec 31, 2024 | 62.63 Mn |
| Sep 30, 2024 | 62.42 Mn |
| Jun 30, 2024 | 62.44 Mn |
| Mar 31, 2024 | 62.21 Mn |
| Dec 31, 2023 | 62.30 Mn |
| Sep 30, 2023 | 63.06 Mn |
| Jun 30, 2023 | 64.80 Mn |
| Mar 31, 2023 | 64.78 Mn |
| Dec 31, 2022 | 65.04 Mn |
| Sep 30, 2022 | 65.76 Mn |
| Jun 30, 2022 | 70.93 Mn |
| Mar 31, 2022 | 69.82 Mn |
| Dec 31, 2021 | 72.04 Mn |
| Sep 30, 2021 | 74.56 Mn |
Kearny Financial Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();