Valley National Bancorp (VLY) Return on Sales [ROS] (2009 - 2026)
Valley National Bancorp's Return on Sales [ROS] was 100.37% in Q2 2026, down 9.87 percentage points from 110.24% a year earlier but up 0.36 percentage points from the prior quarter.
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Analysis
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 105.25% through Jun 30, 2026, down 5.61 percentage points year-over-year; for FY2025, it was 109.23%, down 7.72 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +48.17 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 116.95% in FY2024 (+3.17 pp), 113.78% in FY2023 (+54.62 pp), 59.15% in FY2022 (+3.10 pp) and 56.05% in FY2021 (-5.00 pp).
- Quarterly Return on Sales [ROS] has moved between 35.19% (Q2 2022) and 126.40% (Q3 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in 1 of the last eight quarters, with an average year-over-year change of -7.25 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 81.20 percentage points); the worst was Q2 2022 (a drop of 21.82 percentage points).
- Per Business Quant data, VLY's Return on Sales [ROS] in the three quarters before Q2 2026 was 100.00% (Q1 2026), 105.79% (Q4 2025) and 115.56% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Valley National Bancorp | 7.87 Bn | 7.52 Bn | - | 101.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.91% |
| Jun 30, 2026 | 100.37% |
| Mar 31, 2026 | 100.00% |
| Dec 31, 2025 | 105.79% |
| Sep 30, 2025 | 115.56% |
| Jun 30, 2025 | 110.24% |
| Mar 31, 2025 | 105.30% |
| Dec 31, 2024 | 105.64% |
| Sep 30, 2024 | 122.40% |
| Jun 30, 2024 | 115.94% |
| Mar 31, 2024 | 124.09% |
| Dec 31, 2023 | 113.31% |
| Sep 30, 2023 | 126.40% |
| Jun 30, 2023 | 116.40% |
| Mar 31, 2023 | 99.51% |
| Dec 31, 2022 | 82.12% |
| Sep 30, 2022 | 64.54% |
| Jun 30, 2022 | 35.19% |
| Mar 31, 2022 | 50.10% |
| Dec 31, 2021 | 51.48% |
API Access
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();