R F Industries (RFIL) Operating Expenses (2010 - 2026)
R F Industries' Operating Expenses came in at $6.78 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 13.0% from $6 million a year earlier and up 9.9% from the prior quarter.
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Analysis
R F Industries (RFIL) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, R F Industries reported Operating Expenses of $26.34 million, up 13.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $24.95 million, up 15.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $21.69 million in FY2024 (-7.0%), $23.33 million in FY2023 (unchanged), $23.33 million in FY2022 (+74.7%) and $13.35 million in FY2021 (+11.6%).
- The five-year range for quarterly Operating Expenses is $4.21 million (fiscal Q4 2021) to $7.45 million (fiscal Q4 2025).
- Year-over-year, Operating Expenses has increased for eight consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 155.7%), and the weakest in fiscal Q4 2023 (a decline of 24.1%).
- Business Quant data shows RFIL's Operating Expenses at $6.17 million (Q2 2026), $5.94 million (Q1 2026) and $7.45 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | R F Industries | 85.91 Mn | 67.88 Mn | 8.54 Mn | 6.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.78 Mn |
| Apr 30, 2026 | 6.17 Mn |
| Jan 31, 2026 | 5.94 Mn |
| Oct 31, 2025 | 7.45 Mn |
| Jul 31, 2025 | 6.00 Mn |
| Apr 30, 2025 | 5.84 Mn |
| Jan 31, 2025 | 5.66 Mn |
| Oct 31, 2024 | 5.69 Mn |
| Jul 31, 2024 | 5.38 Mn |
| Apr 30, 2024 | 5.24 Mn |
| Jan 31, 2024 | 5.39 Mn |
| Oct 31, 2023 | 5.61 Mn |
| Jul 31, 2023 | 5.83 Mn |
| Apr 30, 2023 | 5.63 Mn |
| Jan 31, 2023 | 6.26 Mn |
| Oct 31, 2022 | 7.40 Mn |
| Jul 31, 2022 | 6.16 Mn |
| Apr 30, 2022 | 5.33 Mn |
| Jan 31, 2022 | 4.45 Mn |
| Oct 31, 2021 | 4.21 Mn |
API Access
R F Industries Operating Expenses 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=operating-expenses&ticker=RFIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();