R F Industries (RFIL) Return on Capital Employed [ROCE] (2009 - 2026)
R F Industries' Return on Capital Employed [ROCE] was 7.32% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 5.44 percentage points from 1.88% a year earlier and up 1.79 percentage points from the prior quarter.
R F Industries (RFIL) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Return on Capital Employed [ROCE] at R F Industries came in at 3.49%, up 8.31 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive fiscal years, with a five-year change of +4.73 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was -4.82% in FY2024 (+0.35 pp), -5.17% in FY2023 (+2.41 pp), -7.58% in FY2022 (-19.89 pp) and 12.31% in FY2021 (+13.55 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q1 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for five straight quarters, with an average year-over-year change of +5.75 percentage points over the last six quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q1 2022 (a gain of 14.59 percentage points); the worst was fiscal Q1 2023 (a drop of 18.14 percentage points).
- Per Business Quant data, RFIL's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was 5.53% (Q2 2026), 3.57% (Q1 2026) and 3.42% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 22.25% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 25.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.64% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 17.64% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 18.67% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 15.15% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 38.87% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 31.72% |
| 10 | R F Industries | 78.43 Mn | 60.39 Mn | 8.54 Mn | 7.32% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.32% |
| Apr 30, 2026 | 5.53% |
| Jan 31, 2026 | 3.57% |
| Oct 31, 2025 | 3.42% |
| Jul 31, 2025 | 1.88% |
| Apr 30, 2025 | -0.32% |
| Jan 31, 2025 | -1.29% |
| Oct 31, 2024 | -5.29% |
| Jul 31, 2024 | -7.46% |
| Oct 31, 2023 | -5.61% |
| Apr 30, 2023 | -7.40% |
| Jan 31, 2023 | -6.52% |
| Oct 31, 2022 | -5.52% |
| Jul 31, 2022 | 4.22% |
| Apr 30, 2022 | 5.99% |
| Jan 31, 2022 | 11.62% |
| Oct 31, 2021 | 11.42% |
| Jul 31, 2021 | 8.76% |
| Apr 30, 2021 | 5.14% |
| Jan 31, 2021 | -2.97% |
R F Industries 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=RFIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();