Norwood Financial (NWFL) Return on Sales [ROS] (2009 - 2026)
Norwood Financial (NWFL) reported Return on Sales [ROS] of 85.98% for Q2 2026, down 7.74 percentage points from 93.71% a year earlier but up 17.59 percentage points from the prior quarter.
Norwood Financial (NWFL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Norwood Financial's Return on Sales [ROS] came in at 85.03%, down 2.02 percentage points year-over-year; for FY2025, it was 94.64%, down 3.58 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +49.41 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 98.22% in FY2024 (+20.40 pp), 77.81% in FY2023 (+22.08 pp), 55.73% in FY2022 (+6.03 pp) and 49.70% in FY2021 (+4.48 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -165.39% in Q4 2024 and a high of 106.70% in Q1 2024.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -2.31 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2025 (a gain of 256.92 percentage points); the low point was Q4 2024 (a drop of 229.95 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 68.39% (Q1 2026), 91.53% (Q4 2025) and 96.96% (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 | Norwood Financial | 398.63 Mn | 118.80 Mn | - | 92.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 92.89% |
| Jun 30, 2026 | 85.98% |
| Mar 31, 2026 | 68.39% |
| Dec 31, 2025 | 91.53% |
| Sep 30, 2025 | 96.96% |
| Jun 30, 2025 | 93.71% |
| Mar 31, 2025 | 96.57% |
| Dec 31, 2024 | -165.39% |
| Sep 30, 2024 | 95.50% |
| Jun 30, 2024 | 105.57% |
| Mar 31, 2024 | 106.70% |
| Dec 31, 2023 | 64.56% |
| Sep 30, 2023 | 84.50% |
| Jun 30, 2023 | 90.85% |
| Mar 31, 2023 | 71.57% |
| Dec 31, 2022 | 61.30% |
| Sep 30, 2022 | 58.34% |
| Jun 30, 2022 | 50.61% |
| Mar 31, 2022 | 52.62% |
| Dec 31, 2021 | 50.65% |
Norwood 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=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NWFL", "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=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();