Crinetics Pharmaceuticals (CRNX) Accumulated Expenses (2017 - 2019)
Crinetics Pharmaceuticals (CRNX) posted Accumulated Expenses of $3.18 million for Q3 2019, down 22.8% from $4.12 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Crinetics Pharmaceuticals (CRNX) Accumulated Expenses (2017 - 2019) Analysis & Trends
At the end of FY2018, Crinetics Pharmaceuticals' Accumulated Expenses came in at $4.19 million.
- In prior years, Crinetics Pharmaceuticals' Accumulated Expenses was $179,000 in FY2017.
- The Q3 2019 figure stands as the lowest quarterly Accumulated Expenses since Q2 2018.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $3.24 million (Q2 2019), $5.3 million (Q1 2019) and $4.19 million (Q4 2018).
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 | Crinetics Pharmaceuticals | 8.99 Bn | 8.99 Bn | 24.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 3.18 Mn |
| Jun 30, 2019 | 3.24 Mn |
| Mar 31, 2019 | 5.30 Mn |
| Dec 31, 2018 | 4.19 Mn |
| Sep 30, 2018 | 4.12 Mn |
| Jun 30, 2018 | 3.04 Mn |
| Dec 31, 2017 | 179,000.00 |
API Access
Crinetics Pharmaceuticals Accumulated Expenses 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=accumulated-expenses&ticker=CRNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CRNX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CRNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();