Kearny Financial (KRNY) Interest Expenses (2013 - 2026)
Kearny Financial (KRNY) reported Interest Expenses of $41.61 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 6.6% from $44.56 million a year earlier but up 4.2% from the prior quarter.
Kearny Financial (KRNY) Interest Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial posted Interest Expenses of $169.03 million, down 10.8% from FY2025.
- Interest Expenses has a five-year compound annual growth rate of 27.7% (FY2021 to FY2026).
- By fiscal year, Interest Expenses came in at $189.53 million in FY2025 (+1.7%), $186.27 million in FY2024 (+58.0%), $117.86 million in FY2023 (+297.2%) and $29.67 million in FY2022 (-40.5%).
- Five-year quarterly Interest Expenses spans a low of $6.87 million in fiscal Q3 2022 and a high of $50.81 million in fiscal Q1 2025.
- Year over year, Interest Expenses has now declined in each of the last six quarters, with an average decline of 4.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was fiscal Q3 2023 (growth of 406.3%); the low point was fiscal Q1 2022 (a decline of 54.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $39.93 million (Q3 2026), $42.68 million (Q2 2026) and $44.8 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Kearny Financial | 591.53 Mn | 75.39 Mn | - | 41.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.61 Mn |
| Mar 31, 2026 | 39.93 Mn |
| Dec 31, 2025 | 42.68 Mn |
| Sep 30, 2025 | 44.80 Mn |
| Jun 30, 2025 | 44.56 Mn |
| Mar 31, 2025 | 45.29 Mn |
| Dec 31, 2024 | 48.87 Mn |
| Sep 30, 2024 | 50.81 Mn |
| Jun 30, 2024 | 49.71 Mn |
| Mar 31, 2024 | 47.77 Mn |
| Dec 31, 2023 | 46.79 Mn |
| Sep 30, 2023 | 42.01 Mn |
| Jun 30, 2023 | 39.51 Mn |
| Mar 31, 2023 | 34.80 Mn |
| Dec 31, 2022 | 27.66 Mn |
| Sep 30, 2022 | 15.89 Mn |
| Jun 30, 2022 | 7.95 Mn |
| Mar 31, 2022 | 6.87 Mn |
| Dec 31, 2021 | 7.23 Mn |
| Sep 30, 2021 | 7.62 Mn |
Kearny Financial Interest 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=interest-expenses&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();