Omega Flex (OFLX) Return on Sales [ROS] (2009 - 2026)
Omega Flex (OFLX) posted Return on Sales [ROS] of 10.04% for Q3 2026, down 7.23 percentage points from 17.27% a year earlier and down 2.65 percentage points from the prior quarter.
Omega Flex (OFLX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Omega Flex was 12.15%, down 6.56 percentage points year-over-year; for FY2025, it was 17.22%, down 3.99 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -7.97 percentage points (FY2020 to FY2025).
- In prior years, Omega Flex's Return on Sales [ROS] was 21.21% in FY2024 (-1.93 pp), 23.15% in FY2023 (-1.57 pp), 24.72% in FY2022 (-2.25 pp) and 26.97% in FY2021 (+1.78 pp).
- Quarterly Return on Sales [ROS] has run from a low of 10.01% in Q1 2026 to a high of 28.20% in Q4 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last nine quarters, with an average year-over-year change of -4.59 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 1.08 percentage points; the weakest was Q1 2026, with a drop of 7.35 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 12.69% (Q2 2026), 10.01% (Q1 2026) and 15.77% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Omega Flex | 237.22 Mn | 43.16 Mn | 13.26 Mn | 10.04% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.04% |
| Jun 30, 2026 | 12.69% |
| Mar 31, 2026 | 10.01% |
| Dec 31, 2025 | 15.77% |
| Sep 30, 2025 | 17.27% |
| Jun 30, 2025 | 18.50% |
| Mar 31, 2025 | 17.36% |
| Dec 31, 2024 | 21.37% |
| Sep 30, 2024 | 21.98% |
| Jun 30, 2024 | 21.46% |
| Mar 31, 2024 | 20.06% |
| Dec 31, 2023 | 21.72% |
| Sep 30, 2023 | 24.95% |
| Jun 30, 2023 | 21.37% |
| Mar 31, 2023 | 24.36% |
| Dec 31, 2022 | 24.88% |
| Sep 30, 2022 | 27.32% |
| Jun 30, 2022 | 23.13% |
| Mar 31, 2022 | 23.54% |
| Dec 31, 2021 | 28.20% |
Omega Flex 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=OFLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OFLX", "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=OFLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();