Crawford (CRD-B) Revenue (2009 - 2026)
Analysis
Crawford (CRD-B) Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 329.91 Mn |
| Jun 30, 2026 | 330.02 Mn |
| Mar 31, 2026 | 320.13 Mn |
| Dec 31, 2025 | 320.09 Mn |
| Sep 30, 2025 | 332.81 Mn |
| Jun 30, 2025 | 334.60 Mn |
| Mar 31, 2025 | 323.34 Mn |
| Dec 31, 2024 | 358.32 Mn |
| Sep 30, 2024 | 342.73 Mn |
| Jun 30, 2024 | 326.85 Mn |
| Mar 31, 2024 | 313.07 Mn |
| Dec 31, 2023 | 309.17 Mn |
| Sep 30, 2023 | 342.19 Mn |
| Jun 30, 2023 | 337.63 Mn |
| Mar 31, 2023 | 327.94 Mn |
| Dec 31, 2022 | 333.37 Mn |
| Sep 30, 2022 | 306.42 Mn |
| Jun 30, 2022 | 303.65 Mn |
| Mar 31, 2022 | 287.79 Mn |
| Dec 31, 2021 | 302.97 Mn |
API Access
Crawford Revenue 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=revenue&ticker=CRD-B&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CRD-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();