Data443 Risk Mitigation (ATDS) Selling, General & Administrative (2018 - 2026)
Analysis
Data443 Risk Mitigation (ATDS) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 532,017.00 |
| Dec 31, 2025 | 986,779.00 |
| Sep 30, 2025 | 1.06 Mn |
| Jun 30, 2025 | 1.18 Mn |
| Mar 31, 2025 | 1.12 Mn |
| Dec 31, 2024 | 1.54 Mn |
| Sep 30, 2024 | 1.56 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Sep 30, 2023 | 1.47 Mn |
| Jun 30, 2023 | 1.64 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 905,570.00 |
| Sep 30, 2022 | 1.56 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 973,562.00 |
| Sep 30, 2020 | 858,205.00 |
| Jun 30, 2020 | 1.67 Mn |
| Mar 31, 2020 | 1.43 Mn |
API Access
Data443 Risk Mitigation Selling, General & Administrative 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=selling-general-and-administrative&ticker=ATDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ATDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=ATDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();