CTO Realty Growth (CTO) Cash & Equivalents (2010 - 2026)
CTO Realty Growth (CTO) recorded Cash & Equivalents of $8.06 million in Q2 2026, down 5.8% from $8.55 million a year earlier and down 2.7% from the prior quarter.
CTO Realty Growth (CTO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, CTO Realty Growth reported Cash & Equivalents of $6.47 million, down 28.3% from FY2024.
- Annual Cash & Equivalents has declined for three straight years, though with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $9.02 million in FY2024 (-11.7%), $10.21 million in FY2023 (-47.2%), $19.33 million in FY2022 (+124.4%) and $8.62 million in FY2021 (+100.9%).
- Quarterly Cash & Equivalents has ranged from $4.79 million in Q2 2024 to $19.33 million in Q4 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 10.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 124.4% in Q4 2022, against a decline of 47.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.28 million (Q1 2026), $6.47 million (Q4 2025) and $9.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 1.97 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 1.77 Bn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 542.96 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 552.65 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 259.94 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 198.96 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 288.06 Mn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 36.41 Mn |
| 10 | CTO Realty Growth | 762.76 Mn | 762.76 Mn | 32.71 Mn | 8.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.06 Mn |
| Mar 31, 2026 | 8.28 Mn |
| Dec 31, 2025 | 6.47 Mn |
| Sep 30, 2025 | 9.28 Mn |
| Jun 30, 2025 | 8.55 Mn |
| Mar 31, 2025 | 8.43 Mn |
| Dec 31, 2024 | 9.02 Mn |
| Sep 30, 2024 | 8.17 Mn |
| Jun 30, 2024 | 4.79 Mn |
| Mar 31, 2024 | 6.76 Mn |
| Dec 31, 2023 | 10.21 Mn |
| Sep 30, 2023 | 7.02 Mn |
| Jun 30, 2023 | 7.31 Mn |
| Mar 31, 2023 | 7.02 Mn |
| Dec 31, 2022 | 19.33 Mn |
| Sep 30, 2022 | 9.53 Mn |
| Jun 30, 2022 | 7.14 Mn |
| Mar 31, 2022 | 9.45 Mn |
| Dec 31, 2021 | 8.62 Mn |
| Sep 30, 2021 | 7.01 Mn |
CTO Realty Growth Cash & Equivalents 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=cash-and-equivalents&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();