Aethlon Medical (AEMD) Return on Sales [ROS] (2011 - 2023)
Aethlon Medical (AEMD) reported Return on Sales [ROS] of -431.51% for fiscal Q4 2023 (quarter ended Mar 31, 2023), up 28431.70 percentage points from -28863.21% a year earlier and up 100261.09 percentage points from the prior quarter.
Aethlon Medical (AEMD) Return on Sales [ROS] (2011 - 2023) Analysis & Trends
For FY2023 (ended Mar 31, 2023), Aethlon Medical posted Return on Sales [ROS] of -2072.05%, up 1470.48 percentage points from FY2022.
- Return on Sales [ROS] has a five-year change of +1156.77 percentage points (FY2018 to FY2023).
- By fiscal year, Return on Sales [ROS] came in at -3542.53% in FY2022 (-2345.22 pp), -1197.31% in FY2021 (-285.26 pp), -912.04% in FY2020 (+1700.48 pp) and -2612.53% in FY2019 (+616.29 pp).
- The fiscal Q4 2023 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q3 2021.
- Year over year, Return on Sales [ROS] gained in 1 of the last eight quarters, with an average year-over-year change of -17723.29 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 28431.70 percentage points); the low point was fiscal Q3 2023 (a drop of 85923.97 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2023 came in at -100692.60% (Q3 2023), -42619.10% (Q2 2023) and -6922.69% (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Aethlon Medical | 2.48 Mn | 2.48 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -431.51% |
| Dec 31, 2022 | -100,692.60% |
| Sep 30, 2022 | -42,619.10% |
| Jun 30, 2022 | -6,922.69% |
| Mar 31, 2022 | -28,863.21% |
| Dec 31, 2021 | -14,768.63% |
| Sep 30, 2021 | -1,522.21% |
| Jun 30, 2021 | -1,590.14% |
| Mar 31, 2021 | -6,615.18% |
| Dec 31, 2020 | -391.18% |
| Sep 30, 2020 | -942.20% |
| Jun 30, 2020 | -931.04% |
| Mar 31, 2020 | -863.54% |
| Dec 31, 2019 | -211.97% |
| Sep 30, 2019 | -6,202.89% |
| Jun 30, 2019 | -5,220.63% |
| Mar 31, 2019 | -1,988.65% |
| Dec 31, 2018 | -2,530.41% |
| Sep 30, 2018 | -1,630.38% |
| Jun 30, 2018 | -733.35% |
Aethlon Medical 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=AEMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AEMD", "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=AEMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();