Kearny Financial (KRNY) Operating Expenses (2013 - 2026)
Kearny Financial (KRNY) recorded Operating Expenses of $31.79 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.4% from $31.67 million a year earlier but down 6.1% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Kearny Financial's Operating Expenses came in at $129.13 million as of Sep 30, 2026, up 5.4% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $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%).
- Quarterly Operating Expenses has ranged from $28.76 million in fiscal Q4 2023 to $126.55 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five 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 $33.85 million (Q4 2026), $32.3 million (Q3 2026) and $31.19 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 27.30 Bn |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 18.63 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 8.82 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | 13.71 Bn |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 7.02 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | 11.31 Bn |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 13.74 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 17.50 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 6.08 Bn |
| 10 | Kearny Financial | 573.02 Mn | 573.02 Mn | - | 31.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.79 Mn |
| 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 |
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();