Rafael Holdings (RFL) Selling, General & Administrative (2017 - 2026)
Powered by 
Analysis
Rafael Holdings (RFL) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Rafael Holdings | 55.50 Mn | -74.75 Mn | 218,000.00 | 2.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.44 Mn |
| Apr 30, 2026 | 2.14 Mn |
| Jan 31, 2026 | 2.27 Mn |
| Oct 31, 2025 | 2.84 Mn |
| Jul 31, 2025 | 58,000.00 |
| Apr 30, 2025 | 3.17 Mn |
| Jan 31, 2025 | 2.59 Mn |
| Oct 31, 2024 | 2.52 Mn |
| Jul 31, 2024 | 2.33 Mn |
| Apr 30, 2024 | 1.92 Mn |
| Jan 31, 2024 | 2.56 Mn |
| Oct 31, 2023 | 2.04 Mn |
| Jul 31, 2023 | 1.40 Mn |
| Apr 30, 2023 | 2.34 Mn |
| Jan 31, 2023 | 2.09 Mn |
| Oct 31, 2022 | 3.11 Mn |
| Jul 31, 2022 | 3.05 Mn |
| Apr 30, 2022 | 3.34 Mn |
| Jan 31, 2022 | -1.68 Mn |
| Oct 31, 2021 | 12.27 Mn |
API Access
Rafael Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=RFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();