R F Industries (RFIL) Cash & Equivalents (2010 - 2026)
R F Industries' Cash & Equivalents came in at $4.45 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 48.5% from $3 million a year earlier and up 31.2% from the prior quarter.
R F Industries (RFIL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), R F Industries' Cash & Equivalents was $5.08 million, up 505.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $839,000 in FY2024 (-82.9%), $4.9 million in FY2023 (+8.1%), $4.53 million in FY2022 (-65.3%) and $13.05 million in FY2021 (-17.4%).
- The five-year range for quarterly Cash & Equivalents is $839,000 (fiscal Q4 2024) to $13.51 million (fiscal Q1 2022).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 115.2%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2025 (growth of 505.4%), and the weakest in fiscal Q4 2024 (a decline of 82.9%).
- Business Quant data shows RFIL's Cash & Equivalents at $3.39 million (Q2 2026), $5.11 million (Q1 2026) and $5.08 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | R F Industries | 91.12 Mn | 73.09 Mn | 8.54 Mn | 4.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.45 Mn |
| Apr 30, 2026 | 3.39 Mn |
| Jan 31, 2026 | 5.11 Mn |
| Oct 31, 2025 | 5.08 Mn |
| Jul 31, 2025 | 3.00 Mn |
| Apr 30, 2025 | 3.59 Mn |
| Jan 31, 2025 | 1.27 Mn |
| Oct 31, 2024 | 839,000.00 |
| Jul 31, 2024 | 1.76 Mn |
| Apr 30, 2024 | 1.40 Mn |
| Jan 31, 2024 | 4.49 Mn |
| Oct 31, 2023 | 4.90 Mn |
| Jul 31, 2023 | 4.06 Mn |
| Apr 30, 2023 | 4.33 Mn |
| Jan 31, 2023 | 3.77 Mn |
| Oct 31, 2022 | 4.53 Mn |
| Jul 31, 2022 | 5.09 Mn |
| Apr 30, 2022 | 3.75 Mn |
| Jan 31, 2022 | 13.51 Mn |
| Oct 31, 2021 | 13.05 Mn |
R F Industries Cash & Equivalents 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=cash-and-equivalents&ticker=RFIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();