Crawford (CRD-B) Selling, General & Administrative (2009 - 2026)
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Analysis
Crawford (CRD-B) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 71.65 Mn |
| Jun 30, 2026 | 69.66 Mn |
| Mar 31, 2026 | 76.14 Mn |
| Dec 31, 2025 | 71.85 Mn |
| Sep 30, 2025 | 69.39 Mn |
| Jun 30, 2025 | 78.34 Mn |
| Mar 31, 2025 | 74.59 Mn |
| Dec 31, 2024 | 78.55 Mn |
| Sep 30, 2024 | 71.53 Mn |
| Jun 30, 2024 | 72.27 Mn |
| Mar 31, 2024 | 77.32 Mn |
| Dec 31, 2023 | 74.88 Mn |
| Sep 30, 2023 | 74.45 Mn |
| Jun 30, 2023 | 70.47 Mn |
| Mar 31, 2023 | 66.71 Mn |
| Dec 31, 2022 | 62.53 Mn |
| Sep 30, 2022 | 62.98 Mn |
| Jun 30, 2022 | 65.40 Mn |
| Mar 31, 2022 | 64.84 Mn |
| Dec 31, 2021 | 66.73 Mn |
API Access
Crawford 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=CRD-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "CRD-B", "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=CRD-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();