Autoscope Technologies (AATC) Operating Expenses (2010 - 2022)
Autoscope Technologies' Operating Expenses was $1.8 million in Q3 2022, down 8.9% from $1.98 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Autoscope Technologies (AATC) Operating Expenses (2010 - 2022) Analysis & Trends
On a trailing twelve-month basis, Autoscope Technologies' Operating Expenses was $7.83 million through Sep 30, 2022, down 4.9% year-over-year; for FY2021, it was $7.96 million, down 18.6% from FY2020.
- Operating Expenses shows a five-year compound annual growth rate of -3.2% (FY2016 to FY2021).
- In earlier years, Operating Expenses was $9.78 million in FY2020 (+0.1%), $9.77 million in FY2019 (-1.5%), $9.92 million in FY2018 (+4.7%) and $9.48 million in FY2017 (+1.3%).
- The Q3 2022 figure marks the lowest quarterly Operating Expenses since Q4 2013.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 11.8%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2019 (growth of 29.4%); the worst was Q1 2021 (a decline of 33.8%).
- Per Business Quant data, AATC's Operating Expenses in the three quarters before Q3 2022 was $1.85 million (Q2 2022), $2.12 million (Q1 2022) and $2.07 million (Q4 2021).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 1.80 Mn |
| Jun 30, 2022 | 1.85 Mn |
| Mar 31, 2022 | 2.12 Mn |
| Dec 31, 2021 | 2.07 Mn |
| Sep 30, 2021 | 1.98 Mn |
| Jun 30, 2021 | 2.06 Mn |
| Mar 31, 2021 | 1.86 Mn |
| Dec 31, 2020 | 2.34 Mn |
| Sep 30, 2020 | 2.23 Mn |
| Jun 30, 2020 | 2.41 Mn |
| Mar 31, 2020 | 2.81 Mn |
| Dec 31, 2019 | 2.86 Mn |
| Sep 30, 2019 | 2.25 Mn |
| Jun 30, 2019 | 2.38 Mn |
| Mar 31, 2019 | 2.29 Mn |
| Dec 31, 2018 | 2.21 Mn |
| Sep 30, 2018 | 2.46 Mn |
| Jun 30, 2018 | 2.68 Mn |
| Mar 31, 2018 | 2.58 Mn |
| Dec 31, 2017 | 2.69 Mn |
API Access
Autoscope Technologies Operating Expenses 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=operating-expenses&ticker=AATC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AATC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();