CubeSmart (CUBE) Price to Earnings (2011 - 2023)
CubeSmart's (CUBE) Price to Earnings stood at 179.16 in Q1 2023, up 237.4% from 53.10 a year earlier and up 90.5% from the prior quarter.
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Analysis
CubeSmart (CUBE) Price to Earnings (2011 - 2023) Analysis & Trends
For FY2021, CubeSmart's Price to Earnings came in at 57.02, up 42.3% from FY2020.
- Annual Price to Earnings has increased for three straight years.
- Across earlier years, Price to Earnings came in at 40.06 in FY2020 (+11.2%), 36.03 in FY2019 (+10.0%), 32.76 in FY2018 (-16.5%) and 39.24 in FY2017 (-34.9%).
- The Q1 2023 figure is the highest quarterly Price to Earnings since Q2 2011.
- On a year-over-year basis, Price to Earnings has increased for three consecutive quarters, with growth averaging 57.9% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 237.4% in Q1 2023, against a decline of 19.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 94.06 (Q4 2022), 63.50 (Q3 2022) and 41.78 (Q2 2022).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 179.16 |
| Dec 31, 2022 | 94.06 |
| Sep 30, 2022 | 63.50 |
| Jun 30, 2022 | 41.78 |
| Mar 31, 2022 | 53.10 |
| Dec 31, 2021 | 57.02 |
| Sep 30, 2021 | 44.67 |
| Jun 30, 2021 | 52.01 |
| Mar 31, 2021 | 44.74 |
| Dec 31, 2020 | 40.06 |
| Sep 30, 2020 | 37.86 |
| Jun 30, 2020 | 32.56 |
| Mar 31, 2020 | 30.24 |
| Dec 31, 2019 | 36.03 |
| Sep 30, 2019 | 38.55 |
| Jun 30, 2019 | 36.41 |
| Mar 31, 2019 | 36.54 |
| Dec 31, 2018 | 32.76 |
| Sep 30, 2018 | 34.23 |
| Jun 30, 2018 | 40.01 |
API Access
CubeSmart Price to Earnings 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=price-to-earnings&ticker=CUBE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CUBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();