Crawford (CRD-B) Interest Expenses (2010 - 2026)
Analysis
Crawford (CRD-B) Interest Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.89 Mn |
| Jun 30, 2026 | 2.85 Mn |
| Mar 31, 2026 | 2.65 Mn |
| Dec 31, 2025 | 6.38 Mn |
| Sep 30, 2025 | 3.79 Mn |
| Jun 30, 2025 | 3.86 Mn |
| Mar 31, 2025 | 3.94 Mn |
| Dec 31, 2024 | 7.77 Mn |
| Sep 30, 2024 | 4.68 Mn |
| Jun 30, 2024 | 4.26 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 6.55 Mn |
| Sep 30, 2023 | 4.56 Mn |
| Jun 30, 2023 | 4.31 Mn |
| Mar 31, 2023 | 4.40 Mn |
| Dec 31, 2022 | 4.77 Mn |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 1.78 Mn |
| Mar 31, 2022 | 1.52 Mn |
| Dec 31, 2021 | 2.54 Mn |
API Access
Crawford Interest 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=interest-expenses&ticker=CRD-B&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CRD-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();