Relmada Therapeutics (RLMD) Net Margin (2012 - 2023)
Relmada Therapeutics' Net Margin was -877.66% in FY2013, down 725.89 percentage points from -151.77% in FY2012.
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Analysis
Relmada Therapeutics (RLMD) Net Margin (2012 - 2023) Analysis & Trends
- Per Business Quant data, Net Margin in earlier years was -151.77% in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,167.56 Bn | 1,136.14 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 635.76 Bn | 554.29 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 503.27 Bn | 476.38 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 377.51 Bn | 331.89 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 304.07 Bn | 268.06 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 267.53 Bn | 241.22 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 242.06 Bn | 197.46 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 194.26 Bn | 168.46 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 172.62 Bn | 119.27 Bn | 10.94 Bn | -1.65% |
| 10 | Relmada Therapeutics | 368.03 Mn | -190.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -1,998.46% |
| Sep 30, 2023 | -1,665.00% |
| Jun 30, 2023 | -1,855.86% |
| Mar 31, 2023 | -4,866.05% |
| Dec 31, 2022 | -3,509.55% |
| Sep 30, 2022 | -14,821.12% |
| Jun 30, 2022 | -9,696.84% |
| Mar 31, 2022 | -12,620.63% |
| Dec 31, 2021 | -95,591.41% |
| Dec 31, 2020 | -9,257.73% |
| Sep 30, 2020 | -4,652.49% |
| Sep 30, 2019 | -9,677.96% |
| Mar 31, 2019 | -16,852.16% |
| Sep 30, 2017 | -177.67% |
| Jun 30, 2017 | -793,017.96% |
| Mar 31, 2017 | -418,920.51% |
| Jun 30, 2016 | -174,967.88% |
| Mar 31, 2016 | -239,046.27% |
| Jun 30, 2015 | -3,776,788.28% |
| Mar 31, 2015 | -106,945.77% |
API Access
Relmada Therapeutics Net Margin 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=net-margin&ticker=RLMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();