Kearny Financial (KRNY) Operating Expenses (2013 - 2026)
Kearny Financial (KRNY) recorded Operating Expenses of $33.85 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.6% from $30.89 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Operating Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial reported Operating Expenses of $129.01 million, up 6.9% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 0.5% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $120.63 million in FY2025 (-43.9%), $215.15 million in FY2024 (+73.9%), $123.75 million in FY2023 (-1.6%) and $125.71 million in FY2022 (-0.1%).
- The fiscal Q4 2026 figure is the highest quarterly Operating Expenses since fiscal Q4 2024.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with an average decline of 5.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 340.0% in fiscal Q4 2024, against a decline of 75.6% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $32.3 million (Q3 2026), $31.19 million (Q2 2026) and $31.67 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Kearny Financial | 591.53 Mn | 75.39 Mn | - | 33.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.85 Mn |
| Mar 31, 2026 | 32.30 Mn |
| Dec 31, 2025 | 31.19 Mn |
| Sep 30, 2025 | 31.67 Mn |
| Jun 30, 2025 | 30.89 Mn |
| Mar 31, 2025 | 30.39 Mn |
| Dec 31, 2024 | 29.56 Mn |
| Sep 30, 2024 | 29.79 Mn |
| Jun 30, 2024 | 126.55 Mn |
| Mar 31, 2024 | 29.06 Mn |
| Dec 31, 2023 | 29.77 Mn |
| Sep 30, 2023 | 29.77 Mn |
| Jun 30, 2023 | 28.76 Mn |
| Mar 31, 2023 | 30.35 Mn |
| Dec 31, 2022 | 32.65 Mn |
| Sep 30, 2022 | 31.99 Mn |
| Jun 30, 2022 | 33.61 Mn |
| Mar 31, 2022 | 30.62 Mn |
| Dec 31, 2021 | 29.67 Mn |
| Sep 30, 2021 | 31.80 Mn |
API Access
Kearny Financial Operating Expenses 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=operating-expenses&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();