Kearny Financial (KRNY) Revenue (2013 - 2026)
Kearny Financial's Revenue was $45.69 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 11.9% from $40.83 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Kearny Financial (KRNY) Revenue (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Revenue at Kearny Financial came in at $178.11 million, up 15.7% from FY2025.
- Revenue shows a five-year compound annual growth rate of -3.2% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $154 million in FY2025 (+9.5%), $140.6 million in FY2024 (-21.3%), $178.62 million in FY2023 (-15.2%) and $210.54 million in FY2022 (+0.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Revenue since fiscal Q1 2023.
- Compared with a year earlier, Revenue has increased for seven straight quarters, with growth averaging 17.8% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q2 2025 (growth of 89.1%); the worst was fiscal Q2 2024 (a decline of 45.4%).
- Per Business Quant data, KRNY's Revenue in the three fiscal quarters before Q4 2026 was $45.33 million (Q3 2026), $43.54 million (Q2 2026) and $43.55 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | 50.17 Bn |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 31.56 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 18.62 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | 20.34 Bn |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 13.30 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | 18.68 Bn |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 21.87 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 9.94 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 12.11 Bn |
| 10 | Kearny Financial | 573.02 Mn | 573.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.69 Mn |
| Mar 31, 2026 | 45.33 Mn |
| Dec 31, 2025 | 43.54 Mn |
| Sep 30, 2025 | 43.55 Mn |
| Jun 30, 2025 | 40.83 Mn |
| Mar 31, 2025 | 38.60 Mn |
| Dec 31, 2024 | 37.49 Mn |
| Sep 30, 2024 | 37.07 Mn |
| Jun 30, 2024 | 39.08 Mn |
| Mar 31, 2024 | 38.52 Mn |
| Dec 31, 2023 | 19.83 Mn |
| Sep 30, 2023 | 43.17 Mn |
| Jun 30, 2023 | 43.85 Mn |
| Mar 31, 2023 | 44.02 Mn |
| Dec 31, 2022 | 36.31 Mn |
| Sep 30, 2022 | 54.45 Mn |
| Jun 30, 2022 | 53.41 Mn |
| Mar 31, 2022 | 50.92 Mn |
| Dec 31, 2021 | 52.82 Mn |
| Sep 30, 2021 | 53.39 Mn |
API Access
Kearny Financial Revenue 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=revenue&ticker=KRNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();