Agentix (AGTX) Return on Sales [ROS] (2015 - 2023)
Agentix (AGTX) recorded Return on Sales [ROS] of -110625.48% in fiscal Q4 2023 (quarter ended Mar 31, 2023), up 128081.85 percentage points from the prior quarter.
Agentix (AGTX) Return on Sales [ROS] (2015 - 2023) Analysis & Trends
For FY2022 (ended Mar 31, 2022), Agentix reported Return on Sales [ROS] of -211825.08%.
- Annual Return on Sales [ROS] has a five-year change of -196981.08 percentage points (FY2017 to FY2022).
- Across earlier fiscal years, Return on Sales [ROS] came in at -108147.66% in FY2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Agentix | 801,339.00 | 788,533.00 | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -110,625.48% |
| Dec 31, 2022 | -238,707.34% |
| Sep 30, 2022 | -223,635.73% |
| Aug 31, 2021 | -19,685.89% |
| May 31, 2019 | -6,136.27% |
| Aug 31, 2017 | -10,626.47% |
| May 31, 2017 | -2,595.91% |
| Feb 28, 2017 | -5,647.20% |
| Aug 31, 2016 | -13,012.54% |
| May 31, 2016 | -1,438.57% |
| Feb 29, 2016 | 2.29% |
| Nov 30, 2015 | -2.33% |
| Aug 31, 2015 | -145.27% |
| May 31, 2015 | -137.20% |
Agentix 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=AGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AGTX", "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=AGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();