CTO Realty Growth (CTO) Long-Term Investments (2018 - 2026)
CTO Realty Growth (CTO) reported Long-Term Investments of $51.31 million for Q2 2026, up 47.6% from $34.75 million a year earlier and up 15.3% from the prior quarter.
Powered by 
Analysis
CTO Realty Growth (CTO) Long-Term Investments (2018 - 2026) Analysis & Trends
At the end of FY2025, CTO Realty Growth posted Long-Term Investments of $41.32 million, up 4.2% from FY2024.
- Long-Term Investments has a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- By year, Long-Term Investments came in at $39.67 million in FY2024 (+0.6%), $39.45 million in FY2023 (-6.2%), $42.04 million in FY2022 (+2.4%) and $41.04 million in FY2021 (-15.7%).
- The Q2 2026 figure ranks as the highest quarterly Long-Term Investments since Q3 2020.
- Year over year, Long-Term Investments has now increased in each of the last three quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was Q2 2026 (growth of 47.6%); the low point was Q3 2021 (a decline of 32.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $44.49 million (Q1 2026), $41.32 million (Q4 2025) and $35.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 2.00 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 5.87 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 364.79 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 323.34 Mn |
| 10 | CTO Realty Growth | 768.76 Mn | 768.76 Mn | 32.71 Mn | 51.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.31 Mn |
| Mar 31, 2026 | 44.49 Mn |
| Dec 31, 2025 | 41.32 Mn |
| Sep 30, 2025 | 35.02 Mn |
| Jun 30, 2025 | 34.75 Mn |
| Mar 31, 2025 | 39.50 Mn |
| Dec 31, 2024 | 39.67 Mn |
| Sep 30, 2024 | 43.00 Mn |
| Jun 30, 2024 | 36.56 Mn |
| Mar 31, 2024 | 35.64 Mn |
| Dec 31, 2023 | 39.45 Mn |
| Sep 30, 2023 | 38.16 Mn |
| Jun 30, 2023 | 37.91 Mn |
| Mar 31, 2023 | 39.26 Mn |
| Dec 31, 2022 | 42.04 Mn |
| Sep 30, 2022 | 35.26 Mn |
| Jun 30, 2022 | 38.48 Mn |
| Mar 31, 2022 | 38.59 Mn |
| Dec 31, 2021 | 41.04 Mn |
| Sep 30, 2021 | 37.47 Mn |
API Access
CTO Realty Growth Long-Term Investments 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=long-term-investments&ticker=CTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();