Relmada Therapeutics (RLMD) FCF Margin (2012 - 2023)
Relmada Therapeutics' FCF Margin came in at -196.12% for FY2013, down 100.86 percentage points from -95.27% in FY2012.
Analysis
Relmada Therapeutics (RLMD) FCF Margin (2012 - 2023) Analysis & Trends
- Per Business Quant, earlier years put FCF Margin at -95.27% in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.46 Bn | 1,139.04 Bn | 19.71 Bn | 33.76% |
| 2 | Johnson & Johnson | 648.38 Bn | 568.24 Bn | 17.30 Bn | 25.03% |
| 3 | AbbVie | 504.43 Bn | 477.54 Bn | 12.70 Bn | 18.33% |
| 4 | Merck | 367.73 Bn | 322.11 Bn | 12.21 Bn | 26.96% |
| 5 | Novartis Ag | 303.35 Bn | 267.34 Bn | 11.24 Bn | 38.60% |
| 6 | Astrazeneca | 268.20 Bn | 241.88 Bn | 12.86 Bn | 6.55% |
| 7 | Amgen | 242.55 Bn | 197.95 Bn | 7.24 Bn | 34.70% |
| 8 | Gilead Sciences | 194.80 Bn | 169.00 Bn | 6.22 Bn | 44.00% |
| 9 | Pfizer | 173.31 Bn | 119.95 Bn | 10.94 Bn | 2.01% |
| 10 | Relmada Therapeutics | 371.40 Mn | -187.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -813.97% |
| Sep 30, 2023 | -880.19% |
| Jun 30, 2023 | -973.54% |
| Mar 31, 2023 | -3,051.28% |
| Dec 31, 2022 | -3,318.88% |
| Sep 30, 2022 | -10,100.21% |
| Jun 30, 2022 | -5,251.17% |
| Mar 31, 2022 | -6,169.60% |
| Dec 31, 2021 | -104,716.28% |
| Dec 31, 2020 | -3,089.50% |
| Sep 30, 2020 | -3,441.13% |
| Dec 31, 2019 | 49.10% |
| Sep 30, 2019 | -6,683.59% |
| Mar 31, 2019 | -12,622.68% |
| Sep 30, 2017 | -177.67% |
| Jun 30, 2017 | -494,423.79% |
| Mar 31, 2017 | -396,455.60% |
| Jun 30, 2016 | -150,240.14% |
| Mar 31, 2016 | -474,337.28% |
| Jun 30, 2015 | -560,186.28% |
API Access
Relmada Therapeutics FCF 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=fcf-margin&ticker=RLMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();