Kearny Financial (KRNY) Return on Sales [ROS] (2013 - 2026)
Kearny Financial (KRNY) reported Return on Sales [ROS] of 115.18% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 13.92 percentage points from 129.10% a year earlier and down 0.80 percentage points from the prior quarter.
Kearny Financial (KRNY) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kearny Financial posted Return on Sales [ROS] of 121.52%, down 21.69 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -6960.56 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 143.21% in FY2025 (+68.17 pp), 75.03% in FY2024 (-20.28 pp), 95.31% in FY2023 (-4633.99 pp) and 4729.30% in FY2022 (-2352.77 pp).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since fiscal Q4 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of +17.70 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2023 (a gain of 237.53 percentage points); the low point was fiscal Q3 2024 (a drop of 5128.61 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 115.98% (Q3 2026), 125.09% (Q2 2026) and 130.36% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Kearny Financial | 601.86 Mn | 85.72 Mn | - | 115.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.18% |
| Mar 31, 2026 | 115.98% |
| Dec 31, 2025 | 125.09% |
| Sep 30, 2025 | 130.36% |
| Jun 30, 2025 | 129.10% |
| Mar 31, 2025 | 137.65% |
| Dec 31, 2024 | 151.23% |
| Sep 30, 2024 | 156.41% |
| Jun 30, 2024 | -105.63% |
| Mar 31, 2024 | 147.66% |
| Dec 31, 2023 | 175.22% |
| Sep 30, 2023 | 127.77% |
| Jun 30, 2023 | 125.22% |
| Mar 31, 2023 | 5,276.26% |
| Dec 31, 2022 | 4,038.42% |
| Sep 30, 2022 | 4,938.27% |
| Jun 30, 2022 | 3,575.84% |
| Mar 31, 2022 | 5,038.74% |
| Dec 31, 2021 | 4,698.42% |
| Sep 30, 2021 | 5,700.66% |
Kearny Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=KRNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=KRNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();