Hub (HUBG) Interest Expenses (2009 - 2025)
Analysis
Hub (HUBG) Interest Expenses (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.03 Mn |
| Jun 30, 2025 | 3.15 Mn |
| Mar 31, 2025 | 3.25 Mn |
| Dec 31, 2024 | 3.29 Mn |
| Sep 30, 2024 | 3.58 Mn |
| Jun 30, 2024 | 3.69 Mn |
| Mar 31, 2024 | 3.90 Mn |
| Dec 31, 2023 | 3.81 Mn |
| Sep 30, 2023 | 3.54 Mn |
| Jun 30, 2023 | 3.12 Mn |
| Mar 31, 2023 | 2.97 Mn |
| Dec 31, 2022 | 2.21 Mn |
| Sep 30, 2022 | 2.19 Mn |
| Jun 30, 2022 | 1.41 Mn |
| Mar 31, 2022 | 1.70 Mn |
| Dec 31, 2021 | 1.75 Mn |
| Sep 30, 2021 | 1.79 Mn |
| Jun 30, 2021 | 1.86 Mn |
| Mar 31, 2021 | 1.90 Mn |
| Dec 31, 2020 | 1.65 Mn |
API Access
Hub 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=HUBG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "HUBG", "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=HUBG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();