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 +57.32 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 (+37.35 pp) and 57.95% in FY2022 (-6.25 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 Q4 2025 (a gain of 234.73 percentage points); the low point was fiscal Q4 2024 (a drop of 230.85 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 | 896.53 Bn | 896.53 Bn | - | 91.99% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 48.15% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 138.04% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 95.47% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 32.15% |
| 10 | Kearny Financial | 569.36 Mn | 67.53 Mn | - | 125.47% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 125.47% |
| 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 | 109.08% |
| Dec 31, 2022 | 81.65% |
| Sep 30, 2022 | 69.20% |
| Jun 30, 2022 | 44.05% |
| Mar 31, 2022 | 61.06% |
| Dec 31, 2021 | 62.09% |
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();