Kearny Financial (KRNY) Income Taxes Paid (2014 - 2026)
Kearny Financial's Income Taxes Paid came in at $2.67 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 389.0% from $545,000 a year earlier but down 13.5% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Income Taxes Paid (2014 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial's Income Taxes Paid was $8.96 million, up 120.5% from FY2025.
- Income Taxes Paid carries a five-year compound annual growth rate of -14.6% (FY2021 to FY2026).
- Going back by fiscal year, Income Taxes Paid was $4.06 million in FY2025 (-38.8%), $6.63 million in FY2024 (-32.9%), $9.88 million in FY2023 (-36.5%) and $15.55 million in FY2022 (-21.2%).
- The five-year range for quarterly Income Taxes Paid is -$134,000 (fiscal Q3 2022) to $6.06 million (fiscal Q4 2022).
- Year-over-year, Income Taxes Paid has increased for four consecutive quarters, with growth averaging 104.2% over the last eight quarters.
- The fastest year-over-year change in Income Taxes Paid over five years came in fiscal Q4 2026 (growth of 389.0%), and the weakest in fiscal Q2 2024 (a decline of 89.1%).
- Business Quant data shows KRNY's Income Taxes Paid at $3.08 million (Q3 2026), $500,000 (Q2 2026) and $2.71 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.84 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 788.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 1.10 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Kearny Financial | 569.36 Mn | 67.53 Mn | - | 3.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.13 Mn |
| Jun 30, 2026 | 2.67 Mn |
| Mar 31, 2026 | 3.08 Mn |
| Dec 31, 2025 | 500,000.00 |
| Sep 30, 2025 | 2.71 Mn |
| Jun 30, 2025 | 545,000.00 |
| Mar 31, 2025 | 2.02 Mn |
| Dec 31, 2024 | 225,000.00 |
| Sep 30, 2024 | 1.27 Mn |
| Jun 30, 2024 | 1.82 Mn |
| Mar 31, 2024 | 500,000.00 |
| Dec 31, 2023 | 250,000.00 |
| Sep 30, 2023 | 4.07 Mn |
| Jun 30, 2023 | 1.27 Mn |
| Mar 31, 2023 | 300,000.00 |
| Dec 31, 2022 | 2.30 Mn |
| Sep 30, 2022 | 6.02 Mn |
| Jun 30, 2022 | 6.06 Mn |
| Mar 31, 2022 | -134,000.00 |
| Dec 31, 2021 | 3.62 Mn |
API Access
Kearny Financial Income Taxes Paid 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=income-taxes-paid&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();