CTO Realty Growth (CTO) Land & Improvements (2020 - 2026)
CTO Realty Growth (CTO) posted Land & Improvements of $298.96 million for Q2 2026, up 5.4% from $283.76 million a year earlier and up 7.3% from the prior quarter.
Powered by 
Analysis
CTO Realty Growth (CTO) Land & Improvements (2020 - 2026) Analysis & Trends
At the end of FY2025, CTO Realty Growth's Land & Improvements came in at $289.01 million, up 12.1% from FY2024.
- Annual Land & Improvements shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In prior years, CTO Realty Growth's Land & Improvements was $257.75 million in FY2024 (+16.0%), $222.23 million in FY2023 (-5.0%), $233.93 million in FY2022 (+23.4%) and $189.59 million in FY2021 (+13.9%).
- The Q2 2026 figure stands as the highest quarterly Land & Improvements in data going back to Q4 2020.
- On a year-over-year basis, Land & Improvements increased in seven of the last eight quarters, with growth averaging 11.3%.
- The strongest year-over-year quarter for Land & Improvements in the past five years was Q3 2022, with growth of 29.0%; the weakest was Q2 2024, with a decline of 5.4%.
- According to Business Quant data, Land & Improvements for the three prior quarters was $278.59 million (Q1 2026), $289.01 million (Q4 2025) and $280.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | CTO Realty Growth | 768.76 Mn | 768.76 Mn | 32.71 Mn | 298.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.96 Mn |
| Mar 31, 2026 | 278.59 Mn |
| Dec 31, 2025 | 289.01 Mn |
| Sep 30, 2025 | 280.17 Mn |
| Jun 30, 2025 | 283.76 Mn |
| Mar 31, 2025 | 283.76 Mn |
| Dec 31, 2024 | 257.75 Mn |
| Sep 30, 2024 | 253.74 Mn |
| Jun 30, 2024 | 236.21 Mn |
| Mar 31, 2024 | 234.68 Mn |
| Dec 31, 2023 | 222.23 Mn |
| Sep 30, 2023 | 235.88 Mn |
| Jun 30, 2023 | 249.61 Mn |
| Mar 31, 2023 | 233.62 Mn |
| Dec 31, 2022 | 233.93 Mn |
| Sep 30, 2022 | 209.30 Mn |
| Jun 30, 2022 | 205.25 Mn |
| Mar 31, 2022 | 205.24 Mn |
| Dec 31, 2021 | 189.59 Mn |
| Sep 30, 2021 | 162.30 Mn |
API Access
CTO Realty Growth Land & Improvements 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=land-and-improvements&ticker=CTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();