Relmada Therapeutics (RLMD) Receivables - Other (2016 - 2022)
Relmada Therapeutics' Receivables - Other came in at $512,432 for Q4 2022.
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Analysis
Relmada Therapeutics (RLMD) Receivables - Other (2016 - 2022) Analysis & Trends
Going back to Q1 2020, Relmada Therapeutics' Receivables - Other data covers 4 quarters.
- Receivables - Other carries a five-year compound annual growth rate of 17.1% (FY2017 to FY2022).
- Going back by year, Receivables - Other was $177,000 in FY2019 and $7,617 in FY2018 (-96.7%).
- The Q4 2022 figure represents the lowest quarterly Receivables - Other since Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Relmada Therapeutics | 361.29 Mn | -197.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 512,432.00 |
| Mar 31, 2022 | 3.61 Mn |
| Sep 30, 2021 | 1.61 Mn |
| Mar 31, 2020 | 7,529.00 |
| Jun 30, 2019 | 177,000.00 |
| Jun 30, 2018 | 7,617.00 |
| Sep 30, 2017 | 150,617.00 |
| Jun 30, 2017 | 232,597.00 |
| Dec 31, 2016 | 2,350.00 |
| Sep 30, 2016 | 2,350.00 |
| Jun 30, 2016 | 231,942.00 |
API Access
Relmada Therapeutics 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=RLMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "ticker": "RLMD", "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=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();