Phio Pharmaceuticals (PHIO) Return on Sales [ROS] (2012 - 2019)
Phio Pharmaceuticals' Return on Sales [ROS] came in at -42795.24% for Q4 2019, down 37459.01 percentage points from -5336.23% a year earlier and down 4452.38 percentage points from the prior quarter.
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Analysis
Phio Pharmaceuticals (PHIO) Return on Sales [ROS] (2012 - 2019) Analysis & Trends
Going back to Q3 2012, Phio Pharmaceuticals' Return on Sales [ROS] data covers 25 quarters.
- Return on Sales [ROS] carries a four-year change of -12686.41 percentage points (FY2015 to FY2019).
- Going back by year, Return on Sales [ROS] was -5336.23% in FY2018 (+88410.43 pp), -93746.67% in FY2017 (-46299.30 pp), -47447.37% in FY2016 (-17338.54 pp) and -30108.82% in FY2015.
- The Q4 2019 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2017.
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +13660.64 percentage points over the last six quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2018 (a gain of 153948.08 percentage points), and the weakest in Q2 2017 (a drop of 132611.11 percentage points).
- Business Quant data shows PHIO's Return on Sales [ROS] at -38342.86% (Q3 2019), -9526.92% (Q2 2019) and -10219.05% (Q1 2019) in the three quarters before Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Phio Pharmaceuticals | 11.62 Mn | 11.62 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -42,795.24% |
| Sep 30, 2019 | -38,342.86% |
| Jun 30, 2019 | -9,526.92% |
| Mar 31, 2019 | -10,219.05% |
| Dec 31, 2018 | -5,336.23% |
| Sep 30, 2018 | -2,617.54% |
| Jun 30, 2018 | -3,274.14% |
| Mar 31, 2018 | -9,734.78% |
| Dec 31, 2017 | -13,273.33% |
| Jun 30, 2017 | -157,222.22% |
| Dec 31, 2016 | -47,447.37% |
| Sep 30, 2016 | -48,936.84% |
| Jun 30, 2016 | -24,611.11% |
| Mar 31, 2016 | -22,450.00% |
| Dec 31, 2015 | -30,108.82% |
| Sep 30, 2015 | -15,747.62% |
| Jun 30, 2015 | -10,463.04% |
| Mar 31, 2015 | -8,664.71% |
| Mar 31, 2014 | -7,896.55% |
| Dec 31, 2013 | -8,682.76% |
API Access
Phio Pharmaceuticals 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=PHIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PHIO", "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=PHIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();