Cogent Biosciences (COGT) Receivables - Net (2017 - 2019)
Cogent Biosciences (COGT) posted Receivables - Net of $2 million for Q4 2019, up 19.9% from $1.67 million a year earlier and up 127.3% from the prior quarter.
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Analysis
Cogent Biosciences (COGT) Receivables - Net (2017 - 2019) Analysis & Trends
Since Q4 2017, Cogent Biosciences has reported Receivables - Net for 9 quarters.
- In prior years, Cogent Biosciences' Receivables - Net was $1.67 million in FY2018 (+101.0%) and $830,000 in FY2017.
- Quarterly Receivables - Net has run from a low of $830,000 in Q4 2017 to a high of $2.04 million in Q1 2019 over five years.
- On a year-over-year basis, Receivables - Net increased in four of the last five quarters, with growth averaging 26.9%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $880,000 (Q3 2019), $1.49 million (Q2 2019) and $2.04 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Cogent Biosciences | 5.47 Bn | 5.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 2.00 Mn |
| Sep 30, 2019 | 880,000.00 |
| Jun 30, 2019 | 1.49 Mn |
| Mar 31, 2019 | 2.04 Mn |
| Dec 31, 2018 | 1.67 Mn |
| Sep 30, 2018 | 1.42 Mn |
| Jun 30, 2018 | 1.20 Mn |
| Mar 31, 2018 | 1.60 Mn |
| Dec 31, 2017 | 830,000.00 |
API Access
Cogent Biosciences 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=COGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "COGT", "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=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();