Rafael Holdings (RFL) Total Non-Current Liabilities (2017 - 2026)
Rafael Holdings (RFL) posted Total Non-Current Liabilities of $11.13 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 44.9% from $20.18 million a year earlier and down 30.4% from the prior quarter.
Rafael Holdings (RFL) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Rafael Holdings' Total Non-Current Liabilities came in at $15.68 million, up 49.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In prior fiscal years, Rafael Holdings' Total Non-Current Liabilities was $10.52 million in FY2024 (+390.2%), $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 stands as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 196.8%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2025, with growth of 706.0%; the weakest was fiscal Q3 2023, with a decline of 92.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $15.99 million (Q2 2026), $16.11 million (Q1 2026) and $15.68 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Rafael Holdings | 103.44 Mn | 108.85 Mn | 163,000.00 | 11.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 11.13 Mn |
| Jan 31, 2026 | 15.99 Mn |
| Oct 31, 2025 | 16.11 Mn |
| Jul 31, 2025 | 15.68 Mn |
| Apr 30, 2025 | 20.18 Mn |
| Jan 31, 2025 | 7.18 Mn |
| Oct 31, 2024 | 7.35 Mn |
| Jul 31, 2024 | 10.52 Mn |
| Apr 30, 2024 | 8.26 Mn |
| Jan 31, 2024 | 3.83 Mn |
| Oct 31, 2023 | 912,000.00 |
| 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 | 18.58 Mn |
| Oct 31, 2021 | 17.26 Mn |
| Jul 31, 2021 | 17.30 Mn |
Rafael Holdings Total Non-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-non-current-liabilities&ticker=RFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=RFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();