Franklin Electric (FELE) Return on Sales [ROS] (2009 - 2026)
Franklin Electric's Return on Sales [ROS] was 15.03% in Q2 2026, up 0.02 percentage points from 15.00% a year earlier and up 5.42 percentage points from the prior quarter.
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Analysis
Franklin Electric (FELE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Franklin Electric's Return on Sales [ROS] was 12.59% through Jun 30, 2026, up 0.51 percentage points year-over-year; for FY2025, it came in at 12.62%, up 0.57 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +2.16 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 12.05% in FY2024 (-0.65 pp), 12.71% in FY2023 (+0.12 pp), 12.58% in FY2022 (+1.20 pp) and 11.38% in FY2021 (+0.92 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2013.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -0.10 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2022 (a gain of 2.90 percentage points); the worst was Q4 2024 (a drop of 1.89 percentage points).
- Per Business Quant data, FELE's Return on Sales [ROS] in the three quarters before Q2 2026 was 9.61% (Q1 2026), 10.18% (Q4 2025) and 14.63% (Q3 2025).
Peer Set
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 | Franklin Electric | 4.36 Bn | 3.98 Bn | 230.61 Mn | 15.03% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.03% |
| Mar 31, 2026 | 9.61% |
| Dec 31, 2025 | 10.18% |
| Sep 30, 2025 | 14.63% |
| Jun 30, 2025 | 15.00% |
| Mar 31, 2025 | 9.69% |
| Dec 31, 2024 | 8.86% |
| Sep 30, 2024 | 13.84% |
| Jun 30, 2024 | 14.57% |
| Mar 31, 2024 | 10.40% |
| Dec 31, 2023 | 10.75% |
| Sep 30, 2023 | 14.51% |
| Jun 30, 2023 | 14.21% |
| Mar 31, 2023 | 10.86% |
| Dec 31, 2022 | 11.48% |
| Sep 30, 2022 | 14.51% |
| Jun 30, 2022 | 14.70% |
| Mar 31, 2022 | 8.85% |
| Dec 31, 2021 | 10.91% |
| Sep 30, 2021 | 12.33% |
API Access
Franklin Electric 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=FELE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FELE", "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=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();