CubeSmart (CUBE) Total Revenue (2010 - 2026)
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Analysis
CubeSmart (CUBE) Total Revenue (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 286.49 Mn |
| Mar 31, 2026 | 281.93 Mn |
| Dec 31, 2025 | 282.69 Mn |
| Sep 30, 2025 | 285.08 Mn |
| Jun 30, 2025 | 282.30 Mn |
| Mar 31, 2025 | 273.04 Mn |
| Dec 31, 2024 | 267.73 Mn |
| Sep 30, 2024 | 270.89 Mn |
| Jun 30, 2024 | 266.21 Mn |
| Mar 31, 2024 | 261.41 Mn |
| Dec 31, 2023 | 265.13 Mn |
| Sep 30, 2023 | 267.88 Mn |
| Jun 30, 2023 | 260.81 Mn |
| Mar 31, 2023 | 256.53 Mn |
| Dec 31, 2022 | 260.99 Mn |
| Sep 30, 2022 | 261.41 Mn |
| Jun 30, 2022 | 248.66 Mn |
| Mar 31, 2022 | 238.57 Mn |
| Dec 31, 2021 | 221.91 Mn |
| Sep 30, 2021 | 212.56 Mn |
API Access
CubeSmart Total 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=total-revenue&ticker=CUBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-revenue&ticker=CUBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();