Strategy (STRK) Selling, General & Administrative (2010 - 2026)
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Analysis
Strategy (STRK) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.91 Mn |
| Jun 30, 2026 | 39.92 Mn |
| Mar 31, 2026 | 37.36 Mn |
| Dec 31, 2025 | 36.69 Mn |
| Sep 30, 2025 | 38.17 Mn |
| Jun 30, 2025 | 36.50 Mn |
| Mar 31, 2025 | 40.55 Mn |
| Dec 31, 2024 | 36.24 Mn |
| Sep 30, 2024 | 33.51 Mn |
| Jun 30, 2024 | 36.13 Mn |
| Mar 31, 2024 | 34.67 Mn |
| Dec 31, 2023 | 29.35 Mn |
| Sep 30, 2023 | 29.22 Mn |
| Jun 30, 2023 | 28.83 Mn |
| Mar 31, 2023 | 27.91 Mn |
| Dec 31, 2022 | 28.93 Mn |
| Sep 30, 2022 | 27.28 Mn |
| Jun 30, 2022 | 28.50 Mn |
| Mar 31, 2022 | 26.71 Mn |
| Dec 31, 2021 | 27.10 Mn |
API Access
Strategy 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=STRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "STRK", "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=STRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();