R F Industries (RFIL) Return on Sales [ROS] (2010 - 2026)
R F Industries (RFIL) reported Return on Sales [ROS] of 7.34% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 3.70 percentage points from 3.64% a year earlier and up 2.03 percentage points from the prior quarter.
R F Industries (RFIL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, R F Industries' Return on Sales [ROS] came in at 4.56%, up 3.28 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 2.22%, up 6.57 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +3.15 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at -4.35% in FY2024 (+0.91 pp), -5.26% in FY2023 (unchanged), -5.26% in FY2022 (-12.95 pp) and 7.69% in FY2021 (+8.62 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q3 2021.
- Year over year, Return on Sales [ROS] has now increased in each of the last nine quarters, with an average year-over-year change of +5.64 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 46.24 percentage points); the low point was fiscal Q4 2022 (a drop of 58.54 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 5.31% (Q2 2026), 0.93% (Q1 2026) and 3.98% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | R F Industries | 91.12 Mn | 73.09 Mn | 8.54 Mn | 7.34% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.34% |
| Apr 30, 2026 | 5.31% |
| Jan 31, 2026 | 0.93% |
| Oct 31, 2025 | 3.98% |
| Jul 31, 2025 | 3.64% |
| Apr 30, 2025 | 0.56% |
| Jan 31, 2025 | 0.29% |
| Oct 31, 2024 | 0.52% |
| Jul 31, 2024 | -2.49% |
| Apr 30, 2024 | -2.58% |
| Jan 31, 2024 | -15.49% |
| Oct 31, 2023 | -6.97% |
| Jul 31, 2023 | -12.84% |
| Apr 30, 2023 | 2.19% |
| Jan 31, 2023 | -6.37% |
| Oct 31, 2022 | -53.22% |
| Jul 31, 2022 | 4.56% |
| Apr 30, 2022 | 3.47% |
| Jan 31, 2022 | -2.14% |
| Oct 31, 2021 | 5.32% |
R F Industries 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=RFIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RFIL", "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=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();