Matinas BioPharma Holdings (MTNB) Return on Sales [ROS] (2015 - 2023)
Matinas BioPharma Holdings (MTNB) recorded Return on Sales [ROS] of -2168.43% in Q4 2023, down 1652.91 percentage points from -515.52% a year earlier and down 1086.49 percentage points from the prior quarter.
Matinas BioPharma Holdings (MTNB) Return on Sales [ROS] (2015 - 2023) Analysis & Trends
Starting with Q1 2015, Matinas BioPharma Holdings' Return on Sales [ROS] history includes 30 quarters.
- Annual Return on Sales [ROS] has a five-year change of +10062.50 percentage points (FY2018 to FY2023).
- Across earlier years, Return on Sales [ROS] came in at -771.33% in FY2022 (+74183.22 pp), -74954.55% in FY2021 (-59666.16 pp), -15288.38% in FY2020 (+5779.00 pp) and -21067.38% in FY2019 (-8836.45 pp).
- The Q4 2023 figure is the lowest quarterly Return on Sales [ROS] since Q4 2021.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +18116.45 percentage points over the last six quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 74439.02 percentage points in Q4 2022, against a drop of 64572.33 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -1081.94% (Q3 2023), -704.13% (Q2 2023) and -509.67% (Q1 2023).
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 | Matinas BioPharma Holdings | 15.63 Mn | 3.04 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -2,168.43% |
| Sep 30, 2023 | -1,081.94% |
| Jun 30, 2023 | -704.13% |
| Mar 31, 2023 | -509.67% |
| Dec 31, 2022 | -515.52% |
| Sep 30, 2022 | -513.83% |
| Jun 30, 2022 | -557.38% |
| Dec 31, 2021 | -74,954.55% |
| Sep 30, 2021 | -25,575.35% |
| Jun 30, 2021 | -12,123.32% |
| Mar 31, 2021 | -19,059.52% |
| Dec 31, 2020 | -10,382.22% |
| Sep 30, 2020 | -5,848.30% |
| Dec 31, 2019 | -21,067.38% |
| Sep 30, 2019 | -19,320.00% |
| Jun 30, 2019 | -5,033.49% |
| Dec 31, 2018 | -12,230.93% |
| Sep 30, 2018 | -9,177.01% |
| Jun 30, 2018 | -3,791.13% |
| Mar 31, 2018 | -13,764.74% |
Matinas BioPharma Holdings 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=MTNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MTNB", "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=MTNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();