4D Molecular Therapeutics (FDMT) Receivables (2019 - 2021)
4D Molecular Therapeutics (FDMT) posted Receivables of $47,000 for Q4 2021, down 96.8% from $1.49 million a year earlier and down 94.1% from the prior quarter.
Analysis
4D Molecular Therapeutics (FDMT) Receivables (2019 - 2021) Analysis & Trends
Since Q4 2019, 4D Molecular Therapeutics has reported Receivables for 6 quarters.
- In prior years, 4D Molecular Therapeutics' Receivables was $1.66 million in FY2020 (+46.9%) and $1.13 million in FY2019.
- According to Business Quant data, Receivables for the three prior quarters was $800,000 (Q3 2021), $1.22 million (Q2 2021) and $1.56 million (Q1 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -436.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 47,000.00 |
| Sep 30, 2021 | 800,000.00 |
| Jun 30, 2021 | 1.22 Mn |
| Mar 31, 2021 | 1.56 Mn |
| Dec 31, 2020 | 1.49 Mn |
| Dec 31, 2019 | 978,000.00 |
API Access
4D Molecular Therapeutics 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=FDMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "FDMT", "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=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();