Rafael Holdings (RFL) Total Current Liabilities (2017 - 2026)
Rafael Holdings' Total Current Liabilities was $11.02 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 0.1% from $11.03 million a year earlier and down 10.8% from the prior quarter.
Rafael Holdings (RFL) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Total Current Liabilities at Rafael Holdings came in at $11.6 million, up 54.4% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $7.51 million in FY2024 (+250.3%), $2.15 million in FY2023 (-89.8%), $21.03 million in FY2022 (+21.5%) and $17.3 million in FY2021 (+202.1%).
- The fiscal Q3 2026 figure marks the lowest quarterly Total Current Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Current Liabilities was higher in seven of the last eight quarters, with growth averaging 160.6%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q1 2025 (growth of 675.1%); the worst was fiscal Q3 2023 (a decline of 92.1%).
- Per Business Quant data, RFL's Total Current Liabilities in the three fiscal quarters before Q3 2026 was $12.36 million (Q2 2026), $12.08 million (Q1 2026) and $11.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Rafael Holdings | 102.93 Mn | 108.34 Mn | 163,000.00 | 11.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 11.02 Mn |
| Jan 31, 2026 | 12.36 Mn |
| Oct 31, 2025 | 12.08 Mn |
| Jul 31, 2025 | 11.60 Mn |
| Apr 30, 2025 | 11.03 Mn |
| Jan 31, 2025 | 7.11 Mn |
| Oct 31, 2024 | 7.24 Mn |
| Jul 31, 2024 | 7.51 Mn |
| Apr 30, 2024 | 7.54 Mn |
| Jan 31, 2024 | 3.26 Mn |
| Oct 31, 2023 | 934,000.00 |
| Jul 31, 2023 | 2.15 Mn |
| Apr 30, 2023 | 1.41 Mn |
| Jan 31, 2023 | 1.97 Mn |
| Oct 31, 2022 | 3.21 Mn |
| Jul 31, 2022 | 21.03 Mn |
| Apr 30, 2022 | 17.79 Mn |
| Jan 31, 2022 | 22.83 Mn |
| Oct 31, 2021 | 17.26 Mn |
| Jul 31, 2021 | 17.30 Mn |
Rafael Holdings Total Current 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-current-liabilities&ticker=RFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "RFL", "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-current-liabilities&ticker=RFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();