Kearny Financial (KRNY) Wages, Salaries and Other (2014 - 2026)
Kearny Financial (KRNY) reported Wages, Salaries and Other of $19.43 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 3.7% from $18.75 million a year earlier but down 4.3% from the prior quarter.
Kearny Financial (KRNY) Wages, Salaries and Other (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Kearny Financial's Wages, Salaries and Other came in at $77.43 million, up 7.4% year-over-year; for FY2026 (ended Jun 30, 2026), it was $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%).
- Five-year quarterly Wages, Salaries and Other spans a low of $16.91 million in fiscal Q3 2024 and a high of $20.37 million in fiscal Q4 2022.
- Year over year, Wages, Salaries and Other has now increased in each of the last eight quarters, with growth averaging 6.0% 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 Q1 2027 came in at $20.31 million (Q4 2026), $19.32 million (Q3 2026) and $18.37 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 14.77 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 10.97 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 4.51 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 8.00 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 5.12 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 8.75 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 2.57 Bn |
| 10 | Kearny Financial | 569.36 Mn | 67.53 Mn | - | 19.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.43 Mn |
| 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 |
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_KEYimport 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();