Nymox Pharmaceutical (NYMXF) Return on Sales [ROS] (2017 - 2020)
Nymox Pharmaceutical (NYMXF) recorded Return on Sales [ROS] of -234380.00% in Q4 2020, down 223968.46 percentage points from -10411.54% a year earlier and down 194344.52 percentage points from the prior quarter.
Nymox Pharmaceutical (NYMXF) Return on Sales [ROS] (2017 - 2020) Analysis & Trends
For FY2020, Nymox Pharmaceutical reported Return on Sales [ROS] of -234400.00%, down 222912.93 percentage points from FY2019.
- Annual Return on Sales [ROS] has a five-year change of -233760.38 percentage points (FY2015 to FY2020).
- Across earlier years, Return on Sales [ROS] came in at -11487.07% in FY2019 (-7928.21 pp), -3558.86% in FY2018 (+2349.62 pp), -5908.48% in FY2017 (-1377.14 pp) and -4531.34% in FY2016 (-3891.71 pp).
- The Q4 2020 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q1 2017.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -39551.54 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 26105.56 percentage points in Q2 2018, against a drop of 223968.46 percentage points in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at -40035.48% (Q3 2020), -15390.00% (Q2 2020) and -52620.00% (Q1 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Nymox Pharmaceutical | 6.12 Mn | 5.93 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -234,380.00% |
| Sep 30, 2020 | -40,035.48% |
| Jun 30, 2020 | -15,390.00% |
| Mar 31, 2020 | -52,620.00% |
| Dec 31, 2019 | -10,411.54% |
| Sep 30, 2019 | -6,425.64% |
| Jun 30, 2019 | -25,995.00% |
| Mar 31, 2019 | -9,710.00% |
| Dec 31, 2018 | -14,489.47% |
| Sep 30, 2018 | -7,025.00% |
| Jun 30, 2018 | -2,750.00% |
| Mar 31, 2018 | -1,748.68% |
| Dec 31, 2017 | -3,151.43% |
| Sep 30, 2017 | -14,732.26% |
| Jun 30, 2017 | -28,855.56% |
| Mar 31, 2017 | -3,541.03% |
Nymox Pharmaceutical Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NYMXF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NYMXF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=NYMXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();