Kearny Financial (KRNY) Wages, Salaries and Other (2014 - 2026)
Kearny Financial (KRNY) reported Wages, Salaries and Other of $20.31 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 12.3% from $18.09 million a year earlier and up 5.2% from the prior quarter.
Kearny Financial (KRNY) Wages, Salaries and Other (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial posted Wages, Salaries and Other of $76.75 million, up 8.3% from FY2025.
- Wages, Salaries and Other has a five-year compound annual growth rate of 2.2% (FY2021 to FY2026).
- By fiscal year, Wages, Salaries and Other came in at $70.87 million in FY2025 (+2.4%), $69.22 million in FY2024 (-8.4%), $75.59 million in FY2023 (-0.9%) and $76.26 million in FY2022 (+10.8%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Wages, Salaries and Other since fiscal Q1 2023.
- Year over year, Wages, Salaries and Other has now increased in each of the last seven quarters, with growth averaging 5.3% over the last eight quarters.
- The high point for year-over-year Wages, Salaries and Other in five years was fiscal Q4 2022 (growth of 14.6%); the low point was fiscal Q4 2023 (a decline of 15.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $19.32 million (Q3 2026), $18.37 million (Q2 2026) and $18.75 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | Kearny Financial | 601.86 Mn | 85.72 Mn | - | 20.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.31 Mn |
| Mar 31, 2026 | 19.32 Mn |
| Dec 31, 2025 | 18.37 Mn |
| Sep 30, 2025 | 18.75 Mn |
| Jun 30, 2025 | 18.09 Mn |
| Mar 31, 2025 | 17.70 Mn |
| Dec 31, 2024 | 17.58 Mn |
| Sep 30, 2024 | 17.50 Mn |
| Jun 30, 2024 | 17.27 Mn |
| Mar 31, 2024 | 16.91 Mn |
| Dec 31, 2023 | 17.28 Mn |
| Sep 30, 2023 | 17.76 Mn |
| Jun 30, 2023 | 17.32 Mn |
| Mar 31, 2023 | 18.01 Mn |
| Dec 31, 2022 | 19.92 Mn |
| Sep 30, 2022 | 20.35 Mn |
| Jun 30, 2022 | 20.37 Mn |
| Mar 31, 2022 | 19.18 Mn |
| Dec 31, 2021 | 18.10 Mn |
| Sep 30, 2021 | 18.62 Mn |
Kearny Financial Wages, Salaries and Other 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=wages-salaries-and-other&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();