Crawford (CRD-B) Operating Expenses (2009 - 2026)
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Analysis
Crawford (CRD-B) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 305.80 Mn |
| Jun 30, 2026 | 308.83 Mn |
| Mar 31, 2026 | 310.80 Mn |
| Dec 31, 2025 | 324.14 Mn |
| Sep 30, 2025 | 312.20 Mn |
| Jun 30, 2025 | 318.52 Mn |
| Mar 31, 2025 | 311.73 Mn |
| Dec 31, 2024 | 346.29 Mn |
| Sep 30, 2024 | 325.52 Mn |
| Jun 30, 2024 | 311.42 Mn |
| Mar 31, 2024 | 306.72 Mn |
| Dec 31, 2023 | 308.67 Mn |
| Sep 30, 2023 | 321.04 Mn |
| Jun 30, 2023 | 321.89 Mn |
| Mar 31, 2023 | 309.79 Mn |
| Dec 31, 2022 | 316.00 Mn |
| Sep 30, 2022 | 335.42 Mn |
| Jun 30, 2022 | 295.62 Mn |
| Mar 31, 2022 | 280.71 Mn |
| Dec 31, 2021 | 299.78 Mn |
API Access
Crawford 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=CRD-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CRD-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();