CTO Realty Growth (CTO) EBITDA Margin (2010 - 2026)
CTO Realty Growth (CTO) posted EBITDA Margin of 66.39% for Q2 2026, up 59.44 percentage points from 6.95% a year earlier and up 2.63 percentage points from the prior quarter.
CTO Realty Growth (CTO) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at CTO Realty Growth was 77.30%, up 31.14 percentage points year-over-year; for FY2025, it was 62.88%, down 3.51 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +7.29 percentage points (FY2020 to FY2025).
- In prior years, CTO Realty Growth's EBITDA Margin was 66.38% in FY2024 (+1.61 pp), 64.77% in FY2023 (+16.76 pp), 48.01% in FY2022 (-14.50 pp) and 62.51% in FY2021 (+6.92 pp).
- Quarterly EBITDA Margin has run from a low of -0.63% in Q4 2022 to a high of 195.01% in Q3 2021 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last four quarters, with an average year-over-year change of +2.77 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2021, with a gain of 152.15 percentage points; the weakest was Q3 2022, with a drop of 116.88 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 63.75% (Q1 2026), 115.34% (Q4 2025) and 66.09% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 80.02% |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 75.19% |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 87.42% |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 61.19% |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 36.41% |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | CTO Realty Growth | 767.63 Mn | 767.63 Mn | 32.71 Mn | 66.39% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.39% |
| Mar 31, 2026 | 63.75% |
| Dec 31, 2025 | 115.34% |
| Sep 30, 2025 | 66.09% |
| Jun 30, 2025 | 6.95% |
| Mar 31, 2025 | 62.10% |
| Dec 31, 2024 | 61.68% |
| Sep 30, 2024 | 57.16% |
| Jun 30, 2024 | 58.87% |
| Mar 31, 2024 | 90.50% |
| Dec 31, 2023 | 72.08% |
| Sep 30, 2023 | 67.98% |
| Jun 30, 2023 | 63.39% |
| Mar 31, 2023 | 53.70% |
| Dec 31, 2022 | -0.63% |
| Sep 30, 2022 | 78.13% |
| Jun 30, 2022 | 60.36% |
| Mar 31, 2022 | 57.26% |
| Dec 31, 2021 | 26.11% |
| Sep 30, 2021 | 195.01% |
CTO Realty Growth EBITDA Margin 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=ebitda-margin&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();