Cogent Biosciences (COGT) Receivables (2017 - 2019)
Cogent Biosciences (COGT) posted Receivables of $2 million for Q4 2019, up 19.9% from $1.67 million a year earlier and up 127.3% from the prior quarter.
Analysis
Cogent Biosciences (COGT) Receivables (2017 - 2019) Analysis & Trends
Since Q4 2017, Cogent Biosciences has reported Receivables for 9 quarters.
- In prior years, Cogent Biosciences' Receivables was $1.67 million in FY2018 (+101.0%) and $830,000 in FY2017.
- Quarterly Receivables 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 increased in four of the last five quarters, with growth averaging 26.9%.
- According to Business Quant data, Receivables 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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 16.16 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Cogent Biosciences | 5.50 Bn | 2.15 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 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&ticker=COGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();