Can-Fite BioPharma (CANF) Receivables - Net (2013 - 2020)
Can-Fite BioPharma's Receivables - Net came in at $1.06 million for Q4 2020, down 75.9% from $4.38 million a year earlier.
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Analysis
Can-Fite BioPharma (CANF) Receivables - Net (2013 - 2020) Analysis & Trends
Going back to Q2 2013, Can-Fite BioPharma's Receivables - Net data covers 14 quarters.
- Receivables - Net carries a four-year compound annual growth rate of -14.9% (FY2016 to FY2020).
- Going back by year, Receivables - Net was $4.38 million in FY2019 (+9.1%), $4.02 million in FY2018 (+27.0%), $3.16 million in FY2017 (+56.9%) and $2.02 million in FY2016.
- The Q4 2020 figure represents the lowest quarterly Receivables - Net since Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Can-Fite BioPharma | 1.82 Mn | -17.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 1.06 Mn |
| Jun 30, 2020 | 3.57 Mn |
| Dec 31, 2019 | 4.38 Mn |
| Dec 31, 2018 | 4.02 Mn |
| Dec 31, 2017 | 3.16 Mn |
| Dec 31, 2016 | 2.02 Mn |
| Sep 30, 2015 | 707,000.00 |
| Jun 30, 2015 | 758,000.00 |
| Mar 31, 2015 | 900,000.00 |
| Sep 30, 2014 | 688,000.00 |
| Jun 30, 2014 | 790,000.00 |
| Mar 31, 2014 | 846,000.00 |
| Sep 30, 2013 | 457,000.00 |
| Jun 30, 2013 | 460,000.00 |
API Access
Can-Fite BioPharma Receivables - Net 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=receivables-net&ticker=CANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=CANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();