Autoscope Technologies (AATC) Return on Sales [ROS] (2010 - 2022)
Autoscope Technologies' Return on Sales [ROS] came in at 25.23% for Q3 2022, up 3.56 percentage points from 21.67% a year earlier and up 20.09 percentage points from the prior quarter.
Autoscope Technologies (AATC) Return on Sales [ROS] (2010 - 2022) Analysis & Trends
Over the trailing twelve months to Sep 30, 2022, Autoscope Technologies reported Return on Sales [ROS] of 10.15%, down 4.52 percentage points year-over-year; for FY2021, it came in at 17.17%, up 12.55 percentage points from FY2020.
- Return on Sales [ROS] carries a five-year change of +12.31 percentage points (FY2016 to FY2021).
- Going back by year, Return on Sales [ROS] was 4.62% in FY2020 (-7.81 pp), 12.42% in FY2019 (-0.30 pp), 12.72% in FY2018 (-1.89 pp) and 14.61% in FY2017 (+9.75 pp).
- The Q3 2022 figure represents the highest quarterly Return on Sales [ROS] since Q2 2016.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +2.63 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2017 (a gain of 42.63 percentage points), and the weakest in Q2 2022 (a drop of 18.72 percentage points).
- Business Quant data shows AATC's Return on Sales [ROS] at 5.14% (Q2 2022), 0.76% (Q1 2022) and 7.77% (Q4 2021) in the three quarters before Q3 2022.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 25.23% |
| Jun 30, 2022 | 5.14% |
| Mar 31, 2022 | 0.76% |
| Dec 31, 2021 | 7.77% |
| Sep 30, 2021 | 21.67% |
| Jun 30, 2021 | 23.86% |
| Mar 31, 2021 | 13.80% |
| Dec 31, 2020 | -4.48% |
| Sep 30, 2020 | 17.09% |
| Jun 30, 2020 | 10.95% |
| Mar 31, 2020 | -8.71% |
| Dec 31, 2019 | -1.45% |
| Sep 30, 2019 | 25.07% |
| Jun 30, 2019 | 15.31% |
| Mar 31, 2019 | 9.13% |
| Dec 31, 2018 | 14.05% |
| Sep 30, 2018 | 21.02% |
| Jun 30, 2018 | 13.13% |
| Mar 31, 2018 | -0.56% |
| Dec 31, 2017 | 17.53% |
Autoscope Technologies 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=AATC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AATC", "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=AATC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();