Can-Fite BioPharma (CANF) Price to Sales (2016 - 2023)
Can-Fite BioPharma's (CANF) Price to Sales came in at 8.13 for FY2025, down 99.7% from 2631.13 in FY2024.
Analysis
Can-Fite BioPharma (CANF) Price to Sales (2016 - 2023) Analysis & Trends
Since FY2016, Can-Fite BioPharma has reported Price to Sales for 10 years.
- The FY2025 figure stands as the lowest annual Price to Sales in data going back to FY2016.
- Business Quant data shows CANF's Price to Sales at 2631.13 in FY2024 (+30.7%), 2013.22 in FY2023 (-39.9%), 3348.62 in FY2022 (-19.9%) and 4182.14 in FY2021 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Can-Fite BioPharma | 1.84 Mn | -17.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 2,013.22 |
| Sep 30, 2023 | 1,505.38 |
| Jun 30, 2023 | 1,724.75 |
| Mar 31, 2023 | 1,272.52 |
| Dec 31, 2022 | 3,348.62 |
| Sep 30, 2022 | 2,606.31 |
| Jun 30, 2022 | 2,944.64 |
| Mar 31, 2022 | 3,768.23 |
| Dec 31, 2021 | 4,182.14 |
| Sep 30, 2021 | 3,723.17 |
| Jun 30, 2021 | 5,383.25 |
| Mar 31, 2021 | 6,208.11 |
| Dec 31, 2020 | 4,213.82 |
| Sep 30, 2020 | 432.24 |
| Jun 30, 2020 | 439.08 |
| Dec 31, 2019 | 697.59 |
| Sep 30, 2019 | 195.45 |
| Jun 30, 2019 | 161.33 |
| Mar 31, 2019 | 764.66 |
| Dec 31, 2018 | 999.41 |
API Access
Can-Fite BioPharma Price to Sales 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=price-to-sales&ticker=CANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "CANF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-sales&ticker=CANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();