4D Molecular Therapeutics (FDMT) Change in Receivables (2020 - 2022)
4D Molecular Therapeutics (FDMT) recorded Change in Receivables of -$47,000 in FY2022, compared with -$1.44 million in FY2021.
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Analysis
4D Molecular Therapeutics (FDMT) Change in Receivables (2020 - 2022) Analysis & Trends
Starting with FY2019, 4D Molecular Therapeutics' Change in Receivables history includes 4 years.
- Annual Change in Receivables has ranged from -$1.44 million in FY2021 to $508,000 in FY2020 over the past five years.
- Per Business Quant data, FDMT's Change in Receivables was -$1.44 million in FY2021, $508,000 in FY2020 and -$146,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 1.37 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | - |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 1.09 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 140.20 Mn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -441.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -47,000.00 |
| Dec 31, 2021 | -744,000.00 |
| Sep 30, 2021 | -427,000.00 |
| Jun 30, 2021 | 253,000.00 |
| Mar 31, 2021 | -521,000.00 |
| Dec 31, 2020 | 590,000.00 |
| Sep 30, 2020 | 168,000.00 |
| Jun 30, 2020 | -151,000.00 |
| Mar 31, 2020 | -99,000.00 |
API Access
4D Molecular Therapeutics Change in 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=change-in-receivables&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();