Rafael Holdings (RFL) Total Liabilities (2017 - 2026)
Rafael Holdings (RFL) posted Total Liabilities of $11.19 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 52.6% from $23.58 million a year earlier and down 30.3% from the prior quarter.
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Analysis
Rafael Holdings (RFL) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Rafael Holdings' Total Liabilities came in at $15.74 million, up 48.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- In prior fiscal years, Rafael Holdings' Total Liabilities was $10.57 million in FY2024 (+380.6%), $2.2 million in FY2023 (-89.6%), $21.11 million in FY2022 (+21.7%) and $17.35 million in FY2021 (+198.2%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 215.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2025, with growth of 955.7%; the weakest was fiscal Q3 2023, with a decline of 91.8%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $16.06 million (Q2 2026), $16.2 million (Q1 2026) and $15.74 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Rafael Holdings | 102.93 Mn | 108.34 Mn | 163,000.00 | 11.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 11.19 Mn |
| Jan 31, 2026 | 16.06 Mn |
| Oct 31, 2025 | 16.20 Mn |
| Jul 31, 2025 | 15.74 Mn |
| Apr 30, 2025 | 23.58 Mn |
| Jan 31, 2025 | 10.48 Mn |
| Oct 31, 2024 | 10.45 Mn |
| Jul 31, 2024 | 10.57 Mn |
| Apr 30, 2024 | 11.06 Mn |
| Jan 31, 2024 | 3.90 Mn |
| Oct 31, 2023 | 990,000.00 |
| Jul 31, 2023 | 2.20 Mn |
| Apr 30, 2023 | 1.46 Mn |
| Jan 31, 2023 | 2.02 Mn |
| Oct 31, 2022 | 3.25 Mn |
| Jul 31, 2022 | 21.11 Mn |
| Apr 30, 2022 | 17.88 Mn |
| Jan 31, 2022 | 18.66 Mn |
| Oct 31, 2021 | 17.34 Mn |
| Jul 31, 2021 | 17.35 Mn |
API Access
Rafael Holdings 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=RFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=RFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();