R F Industries (RFIL) Enterprise Value (2010 - 2026)
R F Industries (RFIL) posted Enterprise Value of $129.19 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 52.2% from $84.9 million a year earlier but down 16.3% from the prior quarter.
R F Industries (RFIL) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Enterprise Value at R F Industries was $115.61 million, up 46.0% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $78.7 million, up 83.8% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- In prior fiscal years, R F Industries' Enterprise Value was $42.81 million in FY2024 (+66.5%), $25.72 million in FY2023 (-49.2%), $50.61 million in FY2022 (-20.3%) and $63.49 million in FY2021 (+142.3%).
- Quarterly Enterprise Value has run from a low of $25.72 million in fiscal Q4 2023 to a high of $154.27 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last nine quarters, with growth averaging 103.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q2 2026, with growth of 313.9%; the weakest was fiscal Q4 2023, with a decline of 49.2%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $154.27 million (Q2 2026), $100.44 million (Q1 2026) and $78.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn |
| 10 | R F Industries | 84.72 Mn | 66.69 Mn | 8.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 129.19 Mn |
| Apr 30, 2026 | 154.27 Mn |
| Jan 31, 2026 | 100.44 Mn |
| Oct 31, 2025 | 78.70 Mn |
| Jul 31, 2025 | 84.90 Mn |
| Apr 30, 2025 | 37.27 Mn |
| Jan 31, 2025 | 54.53 Mn |
| Oct 31, 2024 | 42.81 Mn |
| Jul 31, 2024 | 41.99 Mn |
| Apr 30, 2024 | 28.62 Mn |
| Jan 31, 2024 | 27.84 Mn |
| Oct 31, 2023 | 25.72 Mn |
| Jul 31, 2023 | 34.83 Mn |
| Apr 30, 2023 | 37.45 Mn |
| Jan 31, 2023 | 50.98 Mn |
| Oct 31, 2022 | 50.61 Mn |
| Jul 31, 2022 | 65.80 Mn |
| Apr 30, 2022 | 63.23 Mn |
| Jan 31, 2022 | 59.39 Mn |
| Oct 31, 2021 | 63.49 Mn |
R F Industries Enterprise Value 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=enterprise-value&ticker=RFIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();