Kearny Financial (KRNY) Shares Outstanding (2013 - 2026)
Kearny Financial (KRNY) recorded Shares Outstanding of 62.87 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.6% from 62.51 million a year earlier but down 0.1% from the prior quarter.
Kearny Financial (KRNY) Shares Outstanding (2013 - 2026) Analysis & Trends
Starting with fiscal Q1 2014, Kearny Financial's Shares Outstanding history includes 52 quarters.
- Annual Shares Outstanding has a five-year compound annual growth rate of -5.3% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 62.51 million in FY2025 (+0.1%), 62.44 million in FY2024 (-3.6%), 64.8 million in FY2023 (-8.6%) and 70.91 million in FY2022 (-13.9%).
- Quarterly Shares Outstanding has ranged from 62.21 million in fiscal Q3 2024 to 74.54 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding has increased for seven consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 0.6% in fiscal Q2 2026, against a decline of 15.4% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 62.91 million (Q3 2026), 62.86 million (Q2 2026) and 62.74 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 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 | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Kearny Financial | 591.53 Mn | 75.39 Mn | - | 62.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.87 Mn |
| Mar 31, 2026 | 62.91 Mn |
| Dec 31, 2025 | 62.86 Mn |
| Sep 30, 2025 | 62.74 Mn |
| Jun 30, 2025 | 62.51 Mn |
| Mar 31, 2025 | 62.55 Mn |
| Dec 31, 2024 | 62.50 Mn |
| Sep 30, 2024 | 62.39 Mn |
| Jun 30, 2024 | 62.44 Mn |
| Mar 31, 2024 | 62.21 Mn |
| Dec 31, 2023 | 62.30 Mn |
| Sep 30, 2023 | 63.01 Mn |
| Jun 30, 2023 | 64.80 Mn |
| Mar 31, 2023 | 64.77 Mn |
| Dec 31, 2022 | 65.03 Mn |
| Sep 30, 2022 | 65.74 Mn |
| Jun 30, 2022 | 70.91 Mn |
| Mar 31, 2022 | 69.79 Mn |
| Dec 31, 2021 | 72.01 Mn |
| Sep 30, 2021 | 74.54 Mn |
Kearny Financial Shares Outstanding 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&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();