Franklin Electric (FELE) Return on Capital Employed [ROCE] (2010 - 2026)
Franklin Electric's Return on Capital Employed [ROCE] came in at 17.21% for Q2 2026, down 0.96 percentage points from 18.17% a year earlier but up 0.05 percentage points from the prior quarter.
Franklin Electric (FELE) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Franklin Electric's Return on Capital Employed [ROCE] was 17.48%, down 0.69 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, though with a five-year change of +4.81 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 18.17% in FY2024 (-0.25 pp), 18.43% in FY2023 (-2.50 pp), 20.93% in FY2022 (+2.52 pp) and 18.41% in FY2021 (+5.74 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 15.65% (Q3 2021) to 21.38% (Q1 2023).
- Year-over-year, Return on Capital Employed [ROCE] has declined for four consecutive quarters, with an average year-over-year change of -0.70 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2023 (a gain of 4.21 percentage points), and the weakest in Q1 2024 (a drop of 3.41 percentage points).
- Business Quant data shows FELE's Return on Capital Employed [ROCE] at 17.16% (Q1 2026), 16.53% (Q4 2025) and 16.21% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 41.86% |
| 10 | Franklin Electric | 4.27 Bn | 3.89 Bn | 230.61 Mn | 17.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.21% |
| Mar 31, 2026 | 17.16% |
| Dec 31, 2025 | 16.53% |
| Sep 30, 2025 | 16.21% |
| Jun 30, 2025 | 18.17% |
| Mar 31, 2025 | 17.24% |
| Dec 31, 2024 | 17.65% |
| Sep 30, 2024 | 17.93% |
| Jun 30, 2024 | 17.87% |
| Mar 31, 2024 | 17.97% |
| Dec 31, 2023 | 18.23% |
| Sep 30, 2023 | 18.65% |
| Jun 30, 2023 | 19.68% |
| Mar 31, 2023 | 21.38% |
| Dec 31, 2022 | 19.80% |
| Sep 30, 2022 | 19.52% |
| Jun 30, 2022 | 19.08% |
| Mar 31, 2022 | 17.17% |
| Dec 31, 2021 | 16.25% |
| Sep 30, 2021 | 15.65% |
Franklin Electric Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=FELE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();