R F Industries (RFIL) Other Operating Expenses (2009 - 2026)
R F Industries' Other Operating Expenses was -$121,000 in fiscal Q3 2026 (quarter ended Jul 31, 2026), compared with -$133,000 a year earlier.
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Analysis
R F Industries (RFIL) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, R F Industries' Other Operating Expenses was -$503,000 through Jul 31, 2026; for FY2025 (ended Oct 31, 2025), it was -$528,000.
- In earlier fiscal years, Other Operating Expenses was -$557,000 in FY2024.
- The fiscal Q3 2026 figure marks the highest quarterly Other Operating Expenses since fiscal Q4 2016.
- Per Business Quant data, RFIL's Other Operating Expenses in the three fiscal quarters before Q3 2026 was -$123,000 (Q2 2026), -$128,000 (Q1 2026) and -$131,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | R F Industries | 78.43 Mn | 60.39 Mn | 8.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -532,000.00 |
| Apr 30, 2026 | -2.74 Mn |
| Jan 31, 2026 | -2.79 Mn |
| Oct 31, 2025 | -541,000.00 |
| Jul 31, 2025 | -544,000.00 |
| Apr 30, 2025 | -2.80 Mn |
| Jan 31, 2025 | -2.73 Mn |
| Oct 31, 2016 | 2.84 Mn |
| Oct 31, 2010 | 137,328.00 |
| Apr 30, 2010 | 154.00 |
| Jan 31, 2010 | 545.00 |
| Jan 31, 2009 | 483.00 |
API Access
R F Industries Other 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=other-operating-expenses&ticker=RFIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();