Arrow Financial (AROW) Return on Sales [ROS] (2009 - 2026)
Arrow Financial's Return on Sales [ROS] was 71.47% in Q2 2026, down 10.58 percentage points from 82.05% a year earlier and down 6.74 percentage points from the prior quarter.
Arrow Financial (AROW) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arrow Financial's Return on Sales [ROS] was 79.27% through Jun 30, 2026, down 0.19 percentage points year-over-year; for FY2025, it was 79.94%, down 6.34 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +30.98 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 86.28% in FY2024 (+15.17 pp), 71.11% in FY2023 (+21.38 pp), 49.73% in FY2022 (+0.97 pp) and 48.76% in FY2021 (-0.19 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -3.03 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 32.69 percentage points); the worst was Q1 2025 (a drop of 17.91 percentage points).
- Per Business Quant data, AROW's Return on Sales [ROS] in the three quarters before Q2 2026 was 78.22% (Q1 2026), 83.45% (Q4 2025) and 84.17% (Q3 2025).
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 | Arrow Financial | 23.90 Mn | 650,935.35 | - | 43.63% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.63% |
| Jun 30, 2026 | 71.58% |
| Mar 31, 2026 | 78.32% |
| Dec 31, 2025 | 83.56% |
| Sep 30, 2025 | 84.28% |
| Jun 30, 2025 | 82.15% |
| Mar 31, 2025 | 69.36% |
| Dec 31, 2024 | 78.09% |
| Sep 30, 2024 | 89.11% |
| Jun 30, 2024 | 90.78% |
| Mar 31, 2024 | 87.30% |
| Dec 31, 2023 | 85.03% |
| Sep 30, 2023 | 78.97% |
| Jun 30, 2023 | 67.13% |
| Mar 31, 2023 | 54.60% |
| Dec 31, 2022 | 55.42% |
| Sep 30, 2022 | 48.85% |
| Jun 30, 2022 | 46.59% |
| Mar 31, 2022 | 48.47% |
| Dec 31, 2021 | 41.89% |
Arrow 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=AROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AROW", "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=AROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();