Norwood Financial (NWFL) Return on Sales [ROS] (2010 - 2026)
Norwood Financial (NWFL) reported Return on Sales [ROS] of 1201.09% for Q2 2026, up 132.45 percentage points from 1068.65% a year earlier and up 381.72 percentage points from the prior quarter.
Norwood Financial (NWFL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Norwood Financial's Return on Sales [ROS] came in at 1027.45%, up 326.00 percentage points year-over-year; for FY2025, it was 1040.42%, up 362.88 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +616.11 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 677.54% in FY2024 (-87.86 pp), 765.40% in FY2023 (+267.12 pp), 498.28% in FY2022 (-23.26 pp) and 521.54% in FY2021 (+97.23 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +92.62 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2025 (a gain of 1183.41 percentage points); the low point was Q4 2024 (a drop of 786.26 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 819.38% (Q1 2026), 1018.02% (Q4 2025) and 1090.35% (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 | Norwood Financial | 367.40 Mn | 85.37 Mn | - | 1,201.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,201.09% |
| Mar 31, 2026 | 819.38% |
| Dec 31, 2025 | 1,018.02% |
| Sep 30, 2025 | 1,090.35% |
| Jun 30, 2025 | 1,068.65% |
| Mar 31, 2025 | 986.05% |
| Dec 31, 2024 | -165.39% |
| Sep 30, 2024 | 928.82% |
| Jun 30, 2024 | 962.07% |
| Mar 31, 2024 | 1,042.43% |
| Dec 31, 2023 | 620.87% |
| Sep 30, 2023 | 762.54% |
| Jun 30, 2023 | 917.21% |
| Mar 31, 2023 | 768.46% |
| Dec 31, 2022 | 688.45% |
| Sep 30, 2022 | 629.43% |
| Jun 30, 2022 | 484.92% |
| Mar 31, 2022 | 325.32% |
| Dec 31, 2021 | 522.67% |
| Sep 30, 2021 | 549.06% |
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();