Kearny Financial (KRNY) Provision for Losses (2013 - 2026)
Kearny Financial (KRNY) posted Provision for Losses of $822,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 53.9% from $1.79 million a year earlier but up 110.2% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Provision for Losses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial's Provision for Losses came in at $1.7 million, down 28.2% from FY2025.
- In prior fiscal years, Kearny Financial's Provision for Losses was $2.37 million in FY2025 (-62.0%), $6.23 million in FY2024 (+150.4%), $2.49 million in FY2023 and -$7.52 million in FY2022.
- Quarterly Provision for Losses has run from a low of -$5.4 million in fiscal Q1 2022 to a high of $4.22 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Provision for Losses increased in three of the last seven quarters, with growth averaging 26.8%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was fiscal Q2 2026, with growth of 429.9%; the weakest was fiscal Q2 2025, with a decline of 94.9%.
- According to Business Quant data, Provision for Losses for the three prior fiscal quarters was $391,000 (Q3 2026), $567,000 (Q2 2026) and -$82,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.40 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | - |
| 10 | Kearny Financial | 573.02 Mn | 573.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 822,000.00 |
| Mar 31, 2026 | 391,000.00 |
| Dec 31, 2025 | 567,000.00 |
| Sep 30, 2025 | -82,000.00 |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 366,000.00 |
| Dec 31, 2024 | 107,000.00 |
| Sep 30, 2024 | 108,000.00 |
| Jun 30, 2024 | 3.53 Mn |
| Mar 31, 2024 | 349,000.00 |
| Dec 31, 2023 | 2.11 Mn |
| Sep 30, 2023 | 245,000.00 |
| Jun 30, 2023 | -306,000.00 |
| Mar 31, 2023 | 451,000.00 |
| Dec 31, 2022 | 1.67 Mn |
| Sep 30, 2022 | 670,000.00 |
| Jun 30, 2022 | 4.22 Mn |
| Mar 31, 2022 | -3.92 Mn |
| Dec 31, 2021 | -2.42 Mn |
| Sep 30, 2021 | -5.40 Mn |
API Access
Kearny Financial Provision for Losses 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=provision-for-losses&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();