Kearny Financial (KRNY) Cash & Equivalents (2014 - 2026)
Kearny Financial's Cash & Equivalents was $115.83 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 11.0% from $130.14 million a year earlier but up 0.9% from the prior quarter.
Kearny Financial (KRNY) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Cash & Equivalents at Kearny Financial came in at $114.82 million, down 31.4% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $167.27 million in FY2025 (+161.9%), $63.86 million in FY2024 (-9.4%), $70.52 million in FY2023 (-30.6%) and $101.62 million in FY2022 (+49.8%).
- Quarterly Cash & Equivalents has moved between $57.22 million (fiscal Q1 2024) and $194.57 million (fiscal Q3 2023) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 34.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2023 (growth of 211.9%); the worst was fiscal Q3 2024 (a decline of 63.5%).
- Per Business Quant data, KRNY's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $114.82 million (Q4 2026), $123.84 million (Q3 2026) and $147.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 249.64 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 222.46 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 45.78 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 138.67 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 176.77 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 43.20 Bn |
| 10 | Kearny Financial | 569.36 Mn | 67.53 Mn | - | 115.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 115.83 Mn |
| Jun 30, 2026 | 114.82 Mn |
| Mar 31, 2026 | 123.84 Mn |
| Dec 31, 2025 | 147.34 Mn |
| Sep 30, 2025 | 130.14 Mn |
| Jun 30, 2025 | 167.27 Mn |
| Mar 31, 2025 | 126.10 Mn |
| Dec 31, 2024 | 141.55 Mn |
| Sep 30, 2024 | 155.57 Mn |
| Jun 30, 2024 | 63.86 Mn |
| Mar 31, 2024 | 71.03 Mn |
| Dec 31, 2023 | 73.86 Mn |
| Sep 30, 2023 | 57.22 Mn |
| Jun 30, 2023 | 70.52 Mn |
| Mar 31, 2023 | 194.57 Mn |
| Dec 31, 2022 | 75.66 Mn |
| Sep 30, 2022 | 96.08 Mn |
| Jun 30, 2022 | 101.62 Mn |
| Mar 31, 2022 | 62.38 Mn |
| Dec 31, 2021 | 60.45 Mn |
Kearny Financial Cash & Equivalents 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-and-equivalents&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();