Valley National Bancorp (VLY) Return on Sales [ROS] (2009 - 2026)
Valley National Bancorp's Return on Sales [ROS] was 1546.87% in Q2 2026, down 350.47 percentage points from 1897.34% a year earlier and down 32.72 percentage points from the prior quarter.
Valley National Bancorp (VLY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Valley National Bancorp's Return on Sales [ROS] was 1633.60% through Jun 30, 2026, down 234.19 percentage points year-over-year; for FY2025, it was 1774.95%, down 179.48 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -816.60 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 1954.43% in FY2024 (-563.29 pp), 2517.72% in FY2023 (+979.86 pp), 1537.86% in FY2022 (-567.78 pp) and 2105.64% in FY2021 (-485.91 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q2 2022.
- Compared with a year earlier, Return on Sales [ROS] has declined for ten straight quarters, with an average year-over-year change of -324.90 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 1717.70 percentage points); the worst was Q2 2022 (a drop of 1422.70 percentage points).
- Per Business Quant data, VLY's Return on Sales [ROS] in the three quarters before Q2 2026 was 1579.59% (Q1 2026), 1624.52% (Q4 2025) and 1795.41% (Q3 2025).
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 | Valley National Bancorp | 7.08 Bn | 6.75 Bn | - | 1,546.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,546.87% |
| Mar 31, 2026 | 1,579.59% |
| Dec 31, 2025 | 1,624.52% |
| Sep 30, 2025 | 1,795.41% |
| Jun 30, 2025 | 1,897.34% |
| Mar 31, 2025 | 1,814.92% |
| Dec 31, 2024 | 1,702.96% |
| Sep 30, 2024 | 2,063.34% |
| Jun 30, 2024 | 2,156.69% |
| Mar 31, 2024 | 1,934.82% |
| Dec 31, 2023 | 2,392.20% |
| Sep 30, 2023 | 2,661.86% |
| Jun 30, 2023 | 2,571.66% |
| Mar 31, 2023 | 2,431.97% |
| Dec 31, 2022 | 2,024.76% |
| Sep 30, 2022 | 1,678.27% |
| Jun 30, 2022 | 853.96% |
| Mar 31, 2022 | 1,576.58% |
| Dec 31, 2021 | 1,765.34% |
| Sep 30, 2021 | 2,147.24% |
Valley National Bancorp 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=VLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VLY", "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=VLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();