CTO Realty Growth (CTO) Long-Term Debt Repayments (2010 - 2026)
CTO Realty Growth (CTO) reported Long-Term Debt Repayments of $154 million for Q2 2026, up 232.8% from $46.27 million a year earlier and up 161.0% from the prior quarter.
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Analysis
CTO Realty Growth (CTO) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, CTO Realty Growth's Long-Term Debt Repayments came in at $449 million, up 42.9% year-over-year; for FY2025, it was $292.27 million, down 14.5% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 32.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $342 million in FY2024 (+243.4%), $99.6 million in FY2023 (-57.4%), $233.75 million in FY2022 (-17.6%) and $283.52 million in FY2021 (+292.3%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $5 million in Q1 2022 and a high of $202 million in Q3 2024.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with growth averaging 96.2% over the last seven quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2026 (growth of 490.0%); the low point was Q1 2022 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $59 million (Q1 2026), $66 million (Q4 2025) and $170 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 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 | 154.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.00 Mn |
| Mar 31, 2026 | 59.00 Mn |
| Dec 31, 2025 | 66.00 Mn |
| Sep 30, 2025 | 170.00 Mn |
| Jun 30, 2025 | 46.27 Mn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | 56.00 Mn |
| Sep 30, 2024 | 202.00 Mn |
| Jun 30, 2024 | 74.50 Mn |
| Mar 31, 2024 | 9.50 Mn |
| Dec 31, 2023 | 69.00 Mn |
| Sep 30, 2023 | 11.00 Mn |
| Mar 31, 2023 | 19.60 Mn |
| Dec 31, 2022 | 86.75 Mn |
| Sep 30, 2022 | 136.00 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 5.00 Mn |
| Dec 31, 2021 | 112.21 Mn |
| Sep 30, 2021 | 84.35 Mn |
| Jun 30, 2021 | 9.78 Mn |
API Access
CTO Realty Growth Long-Term Debt Repayments 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-repayments&ticker=CTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();