Kearny Financial (KRNY) Provision for Credit Losses (2013 - 2026)
Kearny Financial's Provision for Credit Losses was $830,000 in fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with -$82,000 a year earlier and up 1.0% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Provision for Credit Losses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kearny Financial's Provision for Credit Losses was $2.61 million through Sep 30, 2026, up 19.9% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $1.7 million, down 28.2% from FY2025.
- In earlier fiscal years, Provision for Credit 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.
- The fiscal Q1 2027 figure marks the highest quarterly Provision for Credit Losses since fiscal Q4 2025.
- Compared with a year earlier, Provision for Credit Losses was higher in three of the last six quarters, with growth averaging 40.6%.
- The best year-over-year quarter for Provision for Credit Losses over five years was fiscal Q2 2026 (growth of 429.9%); the worst was fiscal Q2 2025 (a decline of 94.9%).
- Per Business Quant data, KRNY's Provision for Credit Losses in the three fiscal quarters before Q1 2027 was $822,000 (Q4 2026), $391,000 (Q3 2026) and $567,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 103.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Kearny Financial | 569.36 Mn | 67.53 Mn | - | 830,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 830,000.00 |
| 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 |
API Access
Kearny Financial Provision for Credit 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-credit-losses&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();