Chs (CHSCP) Selling, General & Administrative (2009 - 2026)
Analysis
Chs (CHSCP) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 357.96 Mn |
| May 31, 2026 | 302.28 Mn |
| Feb 28, 2026 | 267.61 Mn |
| Nov 30, 2025 | 268.12 Mn |
| Aug 31, 2025 | 276.09 Mn |
| May 31, 2025 | 258.85 Mn |
| Feb 28, 2025 | 248.27 Mn |
| Nov 30, 2024 | 262.85 Mn |
| Aug 31, 2024 | 300.25 Mn |
| May 31, 2024 | 316.44 Mn |
| Feb 29, 2024 | 298.23 Mn |
| Nov 30, 2023 | 252.06 Mn |
| Aug 31, 2023 | 282.94 Mn |
| May 31, 2023 | 273.24 Mn |
| Feb 28, 2023 | 241.93 Mn |
| Nov 30, 2022 | 234.67 Mn |
| Aug 31, 2022 | 305.44 Mn |
| May 31, 2022 | 243.14 Mn |
| Feb 28, 2022 | 244.33 Mn |
| Nov 30, 2021 | 204.93 Mn |
API Access
Chs 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=CHSCP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "CHSCP", "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=CHSCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();