Kearny Financial (KRNY) Cash Due from Bank (2014 - 2026)
Kearny Financial's Cash Due from Bank was $18.02 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 17.6% from $21.86 million a year earlier but up 0.2% from the prior quarter.
Kearny Financial (KRNY) Cash Due from Bank (2014 - 2026) Analysis & Trends
From fiscal Q4 2014 onward, Kearny Financial has reported Cash Due from Bank for 46 quarters.
- Cash Due from Bank shows a five-year compound annual growth rate of -3.4% (FY2021 to FY2026).
- In earlier fiscal years, Cash Due from Bank was $21.86 million in FY2025 (+27.1%), $17.2 million in FY2024 (-21.1%), $21.8 million in FY2023 (-16.5%) and $26.09 million in FY2022 (+21.6%).
- Quarterly Cash Due from Bank has moved between $15.83 million (fiscal Q1 2026) and $26.09 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Cash Due from Bank was higher in five of the last eight quarters, with growth averaging 1.7%.
- The best year-over-year quarter for Cash Due from Bank over five years was fiscal Q1 2023 (growth of 37.7%); the worst was fiscal Q2 2024 (a decline of 24.2%).
- Per Business Quant data, KRNY's Cash Due from Bank in the three fiscal quarters before Q4 2026 was $17.98 million (Q3 2026), $19.45 million (Q2 2026) and $15.83 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 42.16 Bn |
| 10 | Kearny Financial | 601.86 Mn | 85.72 Mn | - | 18.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.02 Mn |
| Mar 31, 2026 | 17.98 Mn |
| Dec 31, 2025 | 19.45 Mn |
| Sep 30, 2025 | 15.83 Mn |
| Jun 30, 2025 | 21.86 Mn |
| Mar 31, 2025 | 17.46 Mn |
| Dec 31, 2024 | 17.99 Mn |
| Sep 30, 2024 | 18.37 Mn |
| Jun 30, 2024 | 17.20 Mn |
| Mar 31, 2024 | 16.16 Mn |
| Dec 31, 2023 | 15.93 Mn |
| Sep 30, 2023 | 21.42 Mn |
| Jun 30, 2023 | 21.80 Mn |
| Mar 31, 2023 | 18.52 Mn |
| Dec 31, 2022 | 21.03 Mn |
| Sep 30, 2022 | 22.85 Mn |
| Jun 30, 2022 | 26.09 Mn |
| Mar 31, 2022 | 22.86 Mn |
| Dec 31, 2021 | 19.91 Mn |
| Sep 30, 2021 | 16.59 Mn |
Kearny Financial Cash Due from Bank 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=cash-due-from-bank&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();