R F Industries (RFIL) Total Liabilities (2010 - 2026)
R F Industries (RFIL) posted Total Liabilities of $33.55 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 12.7% from $38.43 million a year earlier and down 3.2% from the prior quarter.
R F Industries (RFIL) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), R F Industries' Total Liabilities came in at $37.84 million, up 2.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 34.0% (FY2020 to FY2025).
- In prior fiscal years, R F Industries' Total Liabilities was $36.98 million in FY2024 (-13.0%), $42.52 million in FY2023 (-10.9%), $47.7 million in FY2022 (+374.8%) and $10.05 million in FY2021 (+14.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q2 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 489.8%; the weakest was fiscal Q3 2023, with a decline of 18.1%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $34.65 million (Q2 2026), $34.79 million (Q1 2026) and $37.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | R F Industries | 84.72 Mn | 66.69 Mn | 8.54 Mn | 33.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.55 Mn |
| Apr 30, 2026 | 34.65 Mn |
| Jan 31, 2026 | 34.79 Mn |
| Oct 31, 2025 | 37.84 Mn |
| Jul 31, 2025 | 38.43 Mn |
| Apr 30, 2025 | 38.51 Mn |
| Jan 31, 2025 | 36.24 Mn |
| Oct 31, 2024 | 36.98 Mn |
| Jul 31, 2024 | 37.72 Mn |
| Apr 30, 2024 | 38.21 Mn |
| Jan 31, 2024 | 40.47 Mn |
| Oct 31, 2023 | 42.52 Mn |
| Jul 31, 2023 | 37.65 Mn |
| Apr 30, 2023 | 36.25 Mn |
| Jan 31, 2023 | 44.14 Mn |
| Oct 31, 2022 | 47.70 Mn |
| Jul 31, 2022 | 45.97 Mn |
| Apr 30, 2022 | 29.47 Mn |
| Jan 31, 2022 | 10.28 Mn |
| Oct 31, 2021 | 10.05 Mn |
R F Industries Total Liabilities 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=total-liabilities&ticker=RFIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RFIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();