Celcuity (CELC) Receivables - Other (2019 - 2022)
Celcuity's Receivables - Other came in at $95,300 for Q2 2022, down 49.8% from $190,000 a year earlier and down 50.6% from the prior quarter.
Analysis
Celcuity (CELC) Receivables - Other (2019 - 2022) Analysis & Trends
At the end of FY2021, Celcuity's Receivables - Other was $298,764, up 57.2% from FY2020.
- Going back by year, Receivables - Other was $190,000 in FY2020 (unchanged) and $190,000 in FY2019.
- The Q2 2022 figure represents the lowest quarterly Receivables - Other in data going back to Q4 2019.
- Year-over-year, Receivables - Other increased in three of the last seven quarters, with growth averaging 13.8%.
- Business Quant data shows CELC's Receivables - Other at $193,034 (Q1 2022), $298,764 (Q4 2021) and $356,309 (Q3 2021) in the three quarters before Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.96 Bn | 1,103.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.51 Bn | 535.04 Bn | 17.26 Bn |
| 3 | AbbVie | 501.10 Bn | 474.21 Bn | 12.70 Bn |
| 4 | Merck | 367.09 Bn | 321.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.10 Bn | 262.09 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.72 Bn | 235.40 Bn | 12.86 Bn |
| 7 | Amgen | 235.73 Bn | 191.13 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.64 Bn | 164.84 Bn | 6.22 Bn |
| 9 | Pfizer | 169.63 Bn | 116.28 Bn | 10.94 Bn |
| 10 | Celcuity | 3.41 Bn | 2.66 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 95,300.00 |
| Mar 31, 2022 | 193,034.00 |
| Dec 31, 2021 | 298,764.00 |
| Sep 30, 2021 | 356,309.00 |
| Jun 30, 2021 | 190,000.00 |
| Mar 31, 2021 | 190,000.00 |
| Dec 31, 2020 | 190,000.00 |
| Sep 30, 2020 | 190,000.00 |
| Jun 30, 2020 | 190,000.00 |
| Mar 31, 2020 | 190,000.00 |
| Dec 31, 2019 | 190,000.00 |
API Access
Celcuity Receivables - Other 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-other&ticker=CELC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "ticker": "CELC", "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-other&ticker=CELC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();