CTO Realty Growth (CTO) Long-Term Debt Issuances (2010 - 2026)
CTO Realty Growth's Long-Term Debt Issuances came in at $163 million for Q2 2026, up 154.7% from $64 million a year earlier and up 77.2% from the prior quarter.
CTO Realty Growth (CTO) Long-Term Debt Issuances (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CTO Realty Growth reported Long-Term Debt Issuances of $503 million, up 11.3% year-over-year; for FY2025, it came in at $405 million, up 10.7% from FY2024.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of 43.5% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Issuances was $366 million in FY2024 (+145.9%), $148.85 million in FY2023 (-60.9%), $380.5 million in FY2022 (+21.0%) and $314.5 million in FY2021 (+371.9%).
- The five-year range for quarterly Long-Term Debt Issuances is $4 million (Q1 2022) to $247 million (Q3 2024).
- Year-over-year, Long-Term Debt Issuances increased in five of the last seven quarters, with growth averaging 111.1%.
- The fastest year-over-year change in Long-Term Debt Issuances over five years came in Q1 2023 (growth of 875.0%), and the weakest in Q1 2022 (a decline of 95.2%).
- Business Quant data shows CTO's Long-Term Debt Issuances at $92 million (Q1 2026), $78 million (Q4 2025) and $170 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 304.61 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 596.00 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 23.59 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 167.46 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 602.23 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.46 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | CTO Realty Growth | 768.76 Mn | 768.76 Mn | 32.71 Mn | 163.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.00 Mn |
| Mar 31, 2026 | 92.00 Mn |
| Dec 31, 2025 | 78.00 Mn |
| Sep 30, 2025 | 170.00 Mn |
| Jun 30, 2025 | 64.00 Mn |
| Mar 31, 2025 | 93.00 Mn |
| Dec 31, 2024 | 48.00 Mn |
| Sep 30, 2024 | 247.00 Mn |
| Jun 30, 2024 | 15.00 Mn |
| Mar 31, 2024 | 56.00 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 17.35 Mn |
| Jun 30, 2023 | 76.50 Mn |
| Mar 31, 2023 | 39.00 Mn |
| Dec 31, 2022 | 162.00 Mn |
| Sep 30, 2022 | 163.50 Mn |
| Jun 30, 2022 | 51.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 158.00 Mn |
| Sep 30, 2021 | 9.00 Mn |
CTO Realty Growth Long-Term Debt Issuances 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-debt-issuances&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-debt-issuances&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();