Kearny Financial (KRNY) Tax Provisions (2013 - 2026)
Kearny Financial's Tax Provisions came in at $3.84 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 176.9% from $1.39 million a year earlier and up 53.5% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Tax Provisions (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial's Tax Provisions was $11.14 million, up 126.2% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of -12.1% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $4.92 million in FY2025 (-16.4%), $5.89 million in FY2024 (-49.1%), $11.57 million in FY2023 (-53.4%) and $24.8 million in FY2022 (+16.6%).
- The fiscal Q4 2026 figure represents the highest quarterly Tax Provisions since fiscal Q1 2023.
- Year-over-year, Tax Provisions has increased for four consecutive quarters, with growth averaging 53.1% over the last seven quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2026 (growth of 176.9%), and the weakest in fiscal Q2 2023 (a decline of 99.5%).
- Business Quant data shows KRNY's Tax Provisions at $2.5 million (Q3 2026), $2.33 million (Q2 2026) and $2.46 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Kearny Financial | 591.53 Mn | 75.39 Mn | - | 3.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.84 Mn |
| Mar 31, 2026 | 2.50 Mn |
| Dec 31, 2025 | 2.33 Mn |
| Sep 30, 2025 | 2.46 Mn |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 1.25 Mn |
| Sep 30, 2024 | 1.09 Mn |
| Jun 30, 2024 | -917,000.00 |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 1.78 Mn |
| Sep 30, 2023 | 3.31 Mn |
| Jun 30, 2023 | 3.38 Mn |
| Mar 31, 2023 | 2.90 Mn |
| Dec 31, 2022 | 33,000.00 |
| Sep 30, 2022 | 5.26 Mn |
| Jun 30, 2022 | 4.21 Mn |
| Mar 31, 2022 | 6.52 Mn |
| Dec 31, 2021 | 6.80 Mn |
| Sep 30, 2021 | 7.27 Mn |
API Access
Kearny Financial Tax Provisions 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=tax-provisions&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();