Kearny Financial (KRNY) FDIC Insurance (2014 - 2026)
Kearny Financial's FDIC Insurance came in at $1.43 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 9.5% from $1.3 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Kearny Financial (KRNY) FDIC Insurance (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Kearny Financial reported FDIC Insurance of $5.44 million, down 3.6% year-over-year; for FY2026 (ended Jun 30, 2026), it was $5.32 million, down 10.0% from FY2025.
- FDIC Insurance carries a five-year compound annual growth rate of 22.4% (FY2021 to FY2026).
- Going back by fiscal year, FDIC Insurance was $5.91 million in FY2025 (-1.2%), $5.98 million in FY2024 (+16.5%), $5.13 million in FY2023 (+109.1%) and $2.46 million in FY2022 (+26.5%).
- The fiscal Q1 2027 figure represents the highest quarterly FDIC Insurance since fiscal Q3 2025.
- Year-over-year, FDIC Insurance increased in three of the last eight quarters, with an average decline of 4.6%.
- The fastest year-over-year change in FDIC Insurance over five years came in fiscal Q3 2023 (growth of 222.1%), and the weakest in fiscal Q1 2026 (a decline of 16.8%).
- Business Quant data shows KRNY's FDIC Insurance at $1.36 million (Q4 2026), $1.3 million (Q3 2026) and $1.36 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | - |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 3.57 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | - |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 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 | - | 1.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.43 Mn |
| Jun 30, 2026 | 1.36 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 1.36 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.40 Mn |
| Mar 31, 2025 | 1.45 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.56 Mn |
| Jun 30, 2024 | 1.53 Mn |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.46 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 1.23 Mn |
| Sep 30, 2022 | 906,000.00 |
| Jun 30, 2022 | 762,000.00 |
| Mar 31, 2022 | 480,000.00 |
| Dec 31, 2021 | 721,000.00 |
API Access
Kearny Financial FDIC Insurance 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=fdic-insurance&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "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=fdic-insurance&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();