Accredited Solutions, Inc. (ASII) Operating Expenses (2010 - 2024)
Accredited Solutions (ASII) recorded Operating Expenses of $426,497 in Q3 2024, up 452.5% from $77,195 a year earlier and up 566.6% from the prior quarter.
Accredited Solutions, Inc. (ASII) Operating Expenses (2010 - 2024) Analysis & Trends
On a TTM basis, Accredited Solutions' Operating Expenses came in at $625,521 as of Sep 30, 2024, up 145.7% year-over-year; for FY2023, it was $286,856, down 4.8% from FY2022.
- Annual Operating Expenses has a five-year compound annual growth rate of 23.2% (FY2018 to FY2023).
- Across earlier years, Operating Expenses came in at $301,444 in FY2022, $1.39 million in FY2020 (+614.2%) and $194,346 in FY2019 (+92.2%).
- The Q3 2024 figure is the highest quarterly Operating Expenses since Q1 2021.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with growth averaging 125.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 912.1% in Q1 2020, against a decline of 100.0% in Q2 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $63,977 (Q2 2024), $58,910 (Q1 2024) and $76,137 (Q4 2023).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 426,497.00 |
| Jun 30, 2024 | 63,977.00 |
| Mar 31, 2024 | 58,910.00 |
| Dec 31, 2023 | 76,137.00 |
| Sep 30, 2023 | 77,195.00 |
| Jun 30, 2023 | 11,322.00 |
| Mar 31, 2023 | 81,703.00 |
| Dec 31, 2022 | 84,350.00 |
| Sep 30, 2022 | 135,183.00 |
| Jun 30, 2022 | 81,911.00 |
| Dec 31, 2021 | -30.00 |
| Jun 30, 2021 | 15.00 |
| Mar 31, 2021 | 1.40 Mn |
| Dec 31, 2020 | 931,564.00 |
| Sep 30, 2020 | 290,922.00 |
| Jun 30, 2020 | 86,149.00 |
| Mar 31, 2020 | 79,438.00 |
| Dec 31, 2019 | 320,167.00 |
| Sep 30, 2019 | 86,208.00 |
| Jun 30, 2019 | 31,764.00 |
Accredited Solutions, Inc. 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=ASII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ASII", "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=ASII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();