Relmada Therapeutics (RLMD) Revenue (2012 - 2023)
Relmada Therapeutics' Revenue was $5,129 in FY2013, down 35.4% from $7,941 in FY2012.
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Analysis
Relmada Therapeutics (RLMD) Revenue (2012 - 2023) Analysis & Trends
- Per Business Quant data, Revenue in earlier years was $7,941 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 25.31 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 15.03 Bn |
| 10 | Relmada Therapeutics | 377.02 Mn | -181.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 1.32 Mn |
| Jun 30, 2023 | 1.36 Mn |
| Mar 31, 2023 | 540,923.00 |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 265,963.00 |
| Jun 30, 2022 | 411,835.00 |
| Mar 31, 2022 | 314,927.00 |
| Dec 31, 2021 | 35,964.00 |
| Sep 30, 2021 | -39,301.00 |
| Jun 30, 2021 | -30.10 Mn |
| Mar 31, 2021 | -35.76 Mn |
| Dec 31, 2020 | 224,268.00 |
| Sep 30, 2020 | 363,300.00 |
| Jun 30, 2020 | -8.39 Mn |
| Mar 31, 2020 | -13.19 Mn |
| Dec 31, 2019 | 849,211.00 |
| Sep 30, 2019 | 37,916.00 |
| Mar 31, 2019 | 15,939.00 |
| Dec 31, 2018 | -139,765.00 |
API Access
Relmada Therapeutics Revenue 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=revenue&ticker=RLMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();