Rafael Holdings (RFL) Asset Writedowns and Impairment (2020 - 2025)
Rafael Holdings (RFL) posted Asset Writedowns and Impairment of $50,000 for fiscal Q4 2025 (quarter ended Jul 31, 2025).
Powered by 
Analysis
Rafael Holdings (RFL) Asset Writedowns and Impairment (2020 - 2025) Analysis & Trends
For FY2025 (ended Jul 31, 2025), Rafael Holdings' Asset Writedowns and Impairment came in at $3.1 million.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In prior fiscal years, Rafael Holdings' Asset Writedowns and Impairment was $334,000 in FY2023 and $724,000 in FY2021 (-81.9%).
- The fiscal Q4 2025 figure stands as the lowest quarterly Asset Writedowns and Impairment since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Rafael Holdings | 78.35 Mn | 83.76 Mn | 163,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2025 | 50,000.00 |
| Jan 31, 2025 | 3.05 Mn |
| Jul 31, 2023 | -17,000.00 |
| Apr 30, 2023 | 128,000.00 |
| Jan 31, 2023 | 67,000.00 |
| Oct 31, 2022 | 156,000.00 |
| Oct 31, 2020 | 724,000.00 |
| Jul 31, 2020 | 3.71 Mn |
| Apr 30, 2020 | 295,000.00 |
API Access
Rafael Holdings Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=RFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=RFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();