R F Industries (RFIL) Return on Assets [ROA] (2011 - 2026)
R F Industries' Return on Assets [ROA] came in at 3.40% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 3.87 percentage points from -0.47% a year earlier and up 1.44 percentage points from the prior quarter.
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Analysis
R F Industries (RFIL) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), R F Industries' Return on Assets [ROA] was 0.10%, up 8.72 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of +0.23 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Assets [ROA] was -8.61% in FY2024 (-5.06 pp), -3.55% in FY2023 (+0.87 pp), -4.42% in FY2022 (-18.09 pp) and 13.66% in FY2021 (+13.79 pp).
- The fiscal Q3 2026 figure represents the highest quarterly Return on Assets [ROA] since fiscal Q1 2022.
- Year-over-year, Return on Assets [ROA] has increased for six consecutive quarters, with an average year-over-year change of +4.29 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q1 2022 (a gain of 13.86 percentage points), and the weakest in fiscal Q1 2023 (a drop of 17.23 percentage points).
- Business Quant data shows RFIL's Return on Assets [ROA] at 1.97% (Q2 2026), 0.38% (Q1 2026) and 0.10% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 11.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 11.82% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 6.12% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 8.56% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 19.50% |
| 10 | R F Industries | 91.12 Mn | 73.09 Mn | 8.54 Mn | 3.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.40% |
| Apr 30, 2026 | 1.97% |
| Jan 31, 2026 | 0.38% |
| Oct 31, 2025 | 0.10% |
| Jul 31, 2025 | -0.47% |
| Apr 30, 2025 | -2.01% |
| Jan 31, 2025 | -7.76% |
| Oct 31, 2024 | -9.24% |
| Jul 31, 2024 | -9.93% |
| Apr 30, 2024 | -10.69% |
| Jan 31, 2024 | -4.03% |
| Oct 31, 2023 | -3.80% |
| Jul 31, 2023 | -8.07% |
| Apr 30, 2023 | -4.76% |
| Jan 31, 2023 | -4.54% |
| Oct 31, 2022 | -3.48% |
| Jul 31, 2022 | 2.31% |
| Apr 30, 2022 | 3.29% |
| Jan 31, 2022 | 12.69% |
| Oct 31, 2021 | 12.87% |
API Access
R F Industries Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=RFIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();