CTO Realty Growth (CTO) Property, Plant & Equipment (Net) (2010 - 2021)
CTO Realty Growth's Property, Plant & Equipment (Net) came in at $463.9 million for Q2 2021, down 0.4% from the prior quarter.
Analysis
CTO Realty Growth (CTO) Property, Plant & Equipment (Net) (2010 - 2021) Analysis & Trends
At the end of FY2020, CTO Realty Growth's Property, Plant & Equipment (Net) was $442.38 million, up 19.4% from FY2019.
- Property, Plant & Equipment (Net) has increased in each of the last six years, with a five-year compound annual growth rate of 11.5% (FY2015 to FY2020).
- Going back by year, Property, Plant & Equipment (Net) was $370.59 million in FY2019 (+0.5%), $368.75 million in FY2018 (+7.6%), $342.63 million in FY2017 (+28.0%) and $267.61 million in FY2016 (+4.0%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $233.86 million (Q3 2016) to $485.1 million (Q1 2020).
- Year-over-year, Property, Plant & Equipment (Net) increased in five of the last six quarters, with growth averaging 11.1%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2017 (growth of 51.9%), and the weakest in Q1 2021 (a decline of 4.0%).
- Business Quant data shows CTO's Property, Plant & Equipment (Net) at $465.7 million (Q1 2021), $442.38 million (Q4 2020) and $445.67 million (Q3 2020) in the three quarters before Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 61.27 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | CTO Realty Growth | 770.63 Mn | 770.63 Mn | 32.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 463.90 Mn |
| Mar 31, 2021 | 465.70 Mn |
| Dec 31, 2020 | 442.38 Mn |
| Sep 30, 2020 | 445.67 Mn |
| Mar 31, 2020 | 485.10 Mn |
| Dec 31, 2019 | 370.59 Mn |
| Sep 30, 2019 | 440.89 Mn |
| Jun 30, 2019 | 414.96 Mn |
| Mar 31, 2019 | 366.59 Mn |
| Dec 31, 2018 | 368.75 Mn |
| Sep 30, 2018 | 375.25 Mn |
| Jun 30, 2018 | 378.37 Mn |
| Mar 31, 2018 | 379.86 Mn |
| Dec 31, 2017 | 342.63 Mn |
| Sep 30, 2017 | 308.92 Mn |
| Jun 30, 2017 | 307.80 Mn |
| Mar 31, 2017 | 288.84 Mn |
| Dec 31, 2016 | 267.61 Mn |
| Sep 30, 2016 | 233.86 Mn |
| Jun 30, 2016 | 202.63 Mn |
API Access
CTO Realty Growth Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();