CTO Realty Growth (CTO) Consolidated Net Income (2010 - 2026)
CTO Realty Growth's Consolidated Net Income came in at $15.11 million for Q2 2026, compared with -$23.42 million a year earlier and up 143.5% from the prior quarter.
CTO Realty Growth (CTO) Consolidated Net Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CTO Realty Growth reported Consolidated Net Income of $52.57 million; for FY2025, it was $10.09 million.
- Consolidated Net Income carries a five-year compound annual growth rate of -33.7% (FY2020 to FY2025).
- Going back by year, Consolidated Net Income was -$1.97 million in FY2024, $5.53 million in FY2023 (+75.1%), $3.16 million in FY2022 (-89.5%) and $29.94 million in FY2021 (-61.9%).
- The five-year range for quarterly Consolidated Net Income is -$23.42 million (Q2 2025) to $28.34 million (Q4 2025).
- Year-over-year, Consolidated Net Income increased in two of the last four quarters, with growth averaging 47.9%.
- The fastest year-over-year change in Consolidated Net Income over five years came in Q1 2026 (growth of 174.4%), and the weakest in Q4 2021 (a decline of 97.6%).
- Business Quant data shows CTO's Consolidated Net Income at $6.21 million (Q1 2026), $28.34 million (Q4 2025) and $2.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 462.98 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.12 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 568.54 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 370.51 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 502.94 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 72.22 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 275.88 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 535.31 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 117.74 Mn |
| 10 | CTO Realty Growth | 770.63 Mn | 770.63 Mn | 32.71 Mn | 15.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.11 Mn |
| Mar 31, 2026 | 6.21 Mn |
| Dec 31, 2025 | 28.34 Mn |
| Sep 30, 2025 | 2.91 Mn |
| Jun 30, 2025 | -23.42 Mn |
| Mar 31, 2025 | 2.26 Mn |
| Dec 31, 2024 | -15.22 Mn |
| Sep 30, 2024 | 6.23 Mn |
| Jun 30, 2024 | 1.18 Mn |
| Mar 31, 2024 | 5.84 Mn |
| Dec 31, 2023 | 7.04 Mn |
| Sep 30, 2023 | 2.69 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | -5.99 Mn |
| Dec 31, 2022 | -3.08 Mn |
| Sep 30, 2022 | 4.82 Mn |
| Jun 30, 2022 | 1.22 Mn |
| Mar 31, 2022 | 202,000.00 |
| Dec 31, 2021 | 1.93 Mn |
| Sep 30, 2021 | 23.95 Mn |
CTO Realty Growth Consolidated Net Income 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=consolidated-net-income&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();