R F Industries (RFIL) Accumulated Expenses (2010 - 2026)
R F Industries (RFIL) reported Accumulated Expenses of $6.78 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 7.1% from $6.33 million a year earlier and up 12.9% from the prior quarter.
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Analysis
R F Industries (RFIL) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), R F Industries posted Accumulated Expenses of $7.64 million, up 79.8% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- By fiscal year, Accumulated Expenses came in at $4.25 million in FY2024 (-7.1%), $4.57 million in FY2023 (-48.1%), $8.81 million in FY2022 (+75.1%) and $5.03 million in FY2021 (+95.6%).
- Five-year quarterly Accumulated Expenses spans a low of $4.25 million in fiscal Q4 2024 and a high of $8.81 million in fiscal Q4 2022.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 23.0% over the last six quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2022 (growth of 149.9%); the low point was fiscal Q4 2023 (a decline of 48.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $6.01 million (Q2 2026), $5.91 million (Q1 2026) and $7.64 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | R F Industries | 91.12 Mn | 73.09 Mn | 8.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.78 Mn |
| Apr 30, 2026 | 6.01 Mn |
| Jan 31, 2026 | 5.91 Mn |
| Oct 31, 2025 | 7.64 Mn |
| Jul 31, 2025 | 6.33 Mn |
| Apr 30, 2025 | 5.89 Mn |
| Jan 31, 2025 | 4.52 Mn |
| Oct 31, 2024 | 4.25 Mn |
| Jul 31, 2024 | 5.05 Mn |
| Oct 31, 2023 | 4.57 Mn |
| Apr 30, 2023 | 5.37 Mn |
| Jan 31, 2023 | 5.57 Mn |
| Oct 31, 2022 | 8.81 Mn |
| Jul 31, 2022 | 6.91 Mn |
| Apr 30, 2022 | 8.10 Mn |
| Jan 31, 2022 | 5.66 Mn |
| Oct 31, 2021 | 5.03 Mn |
| Jul 31, 2021 | 3.70 Mn |
| Apr 30, 2021 | 3.24 Mn |
| Jan 31, 2021 | 2.62 Mn |
API Access
R F Industries Accumulated 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=accumulated-expenses&ticker=RFIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();