Hub (HUBG) Operating Expenses (2009 - 2025)
Analysis
Hub (HUBG) Operating Expenses (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 895.05 Mn |
| Jun 30, 2025 | 871.30 Mn |
| Mar 31, 2025 | 877.88 Mn |
| Dec 31, 2024 | 941.99 Mn |
| Sep 30, 2024 | 954.79 Mn |
| Jun 30, 2024 | 946.97 Mn |
| Mar 31, 2024 | 962.35 Mn |
| Dec 31, 2023 | 955.62 Mn |
| Sep 30, 2023 | 982.28 Mn |
| Jun 30, 2023 | 978.39 Mn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 1.24 Bn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 3.73 Bn |
| Sep 30, 2021 | 97.73 Mn |
| Jun 30, 2021 | 83.61 Mn |
| Mar 31, 2021 | 84.70 Mn |
| Dec 31, 2020 | 74.39 Mn |
API Access
Hub 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=HUBG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HUBG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();