CubeSmart (CUBE) Rental Revenue (2010 - 2026)
Analysis
CubeSmart (CUBE) Rental Revenue (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.22 Mn |
| Mar 31, 2026 | 239.93 Mn |
| Dec 31, 2025 | 240.93 Mn |
| Sep 30, 2025 | 243.40 Mn |
| Jun 30, 2025 | 239.56 Mn |
| Mar 31, 2025 | 232.77 Mn |
| Dec 31, 2024 | 228.23 Mn |
| Sep 30, 2024 | 230.95 Mn |
| Jun 30, 2024 | 226.79 Mn |
| Mar 31, 2024 | 225.19 Mn |
| Dec 31, 2023 | 230.04 Mn |
| Sep 30, 2023 | 232.47 Mn |
| Jun 30, 2023 | 225.91 Mn |
| Mar 31, 2023 | 223.58 Mn |
| Dec 31, 2022 | 227.95 Mn |
| Sep 30, 2022 | 226.84 Mn |
| Jun 30, 2022 | 216.13 Mn |
| Mar 31, 2022 | 208.37 Mn |
| Dec 31, 2021 | 192.51 Mn |
| Sep 30, 2021 | 182.41 Mn |
API Access
CubeSmart Rental 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=rental-revenue&ticker=CUBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-revenue", "ticker": "CUBE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=rental-revenue&ticker=CUBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();