CTO Realty Growth (CTO) Depreciation & Amortization (CF) (2010 - 2026)
CTO Realty Growth (CTO) recorded Depreciation & Amortization (CF) of $15.85 million in Q2 2026, up 3.6% from $15.29 million a year earlier but down 0.7% from the prior quarter.
CTO Realty Growth (CTO) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, CTO Realty Growth's Depreciation & Amortization (CF) came in at $62.16 million as of Jun 30, 2026, down 13.9% year-over-year; for FY2025, it came in at $60.02 million, down 7.7% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $65.05 million in FY2024 (+47.3%), $44.17 million in FY2023 (+53.1%), $28.86 million in FY2022 (+40.2%) and $20.58 million in FY2021 (+8.0%).
- Quarterly Depreciation & Amortization (CF) has ranged from $5.15 million in Q4 2021 to $29.35 million in Q4 2024 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in seven of the last eight quarters, with growth averaging 27.0%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 158.4% in Q4 2024, against a decline of 47.4% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.96 million (Q1 2026), $15.43 million (Q4 2025) and $14.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 689.52 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 456.32 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 644.68 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 287.76 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 246.38 Mn |
| 10 | CTO Realty Growth | 768.76 Mn | 768.76 Mn | 32.71 Mn | 15.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.85 Mn |
| Mar 31, 2026 | 15.96 Mn |
| Dec 31, 2025 | 15.43 Mn |
| Sep 30, 2025 | 14.93 Mn |
| Jun 30, 2025 | 15.29 Mn |
| Mar 31, 2025 | 14.36 Mn |
| Dec 31, 2024 | 29.35 Mn |
| Sep 30, 2024 | 13.22 Mn |
| Jun 30, 2024 | 11.55 Mn |
| Mar 31, 2024 | 10.93 Mn |
| Dec 31, 2023 | 11.36 Mn |
| Sep 30, 2023 | 11.67 Mn |
| Jun 30, 2023 | 10.83 Mn |
| Mar 31, 2023 | 10.32 Mn |
| Dec 31, 2022 | 8.45 Mn |
| Sep 30, 2022 | 7.31 Mn |
| Jun 30, 2022 | 6.73 Mn |
| Mar 31, 2022 | 6.37 Mn |
| Dec 31, 2021 | 5.15 Mn |
| Sep 30, 2021 | 5.57 Mn |
CTO Realty Growth Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();