Kearny Financial (KRNY) Total Liabilities (2014 - 2026)
Kearny Financial's Total Liabilities was $7.02 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 1.8% from $6.89 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Total Liabilities at Kearny Financial came in at $6.92 billion, down 1.1% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $6.99 billion in FY2025 (+0.9%), $6.93 billion in FY2024 (-3.7%), $7.2 billion in FY2023 (+5.4%) and $6.83 billion in FY2022 (+9.4%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Liabilities since fiscal Q2 2024.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with an average decline of 0.6%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 19.8%); the worst was fiscal Q3 2024 (a decline of 6.6%).
- Per Business Quant data, KRNY's Total Liabilities in the three fiscal quarters before Q1 2027 was $6.92 billion (Q4 2026), $6.84 billion (Q3 2026) and $6.86 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 4,719.18 Bn |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 3,198.10 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 3,248.55 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 1,679.93 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | 2,057.00 Bn |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 2,075.41 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 2,571.74 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 1,416.61 Bn |
| 10 | Kearny Financial | 573.02 Mn | 573.02 Mn | - | 7.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.02 Bn |
| Jun 30, 2026 | 6.92 Bn |
| Mar 31, 2026 | 6.84 Bn |
| Dec 31, 2025 | 6.86 Bn |
| Sep 30, 2025 | 6.89 Bn |
| Jun 30, 2025 | 6.99 Bn |
| Mar 31, 2025 | 6.99 Bn |
| Dec 31, 2024 | 6.99 Bn |
| Sep 30, 2024 | 7.02 Bn |
| Jun 30, 2024 | 6.93 Bn |
| Mar 31, 2024 | 6.99 Bn |
| Dec 31, 2023 | 7.05 Bn |
| Sep 30, 2023 | 7.13 Bn |
| Jun 30, 2023 | 7.20 Bn |
| Mar 31, 2023 | 7.48 Bn |
| Dec 31, 2022 | 7.42 Bn |
| Sep 30, 2022 | 7.01 Bn |
| Jun 30, 2022 | 6.83 Bn |
| Mar 31, 2022 | 6.43 Bn |
| Dec 31, 2021 | 6.19 Bn |
API Access
Kearny Financial Total Liabilities 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=total-liabilities&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();