Transcontinental Realty Investors (TCI) Capital Expenditures (2010 - 2026)
Transcontinental Realty Investors' Capital Expenditures was $6.92 million in Q2 2026, down 74.3% from $26.93 million a year earlier but up 49.4% from the prior quarter.
Transcontinental Realty Investors (TCI) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Transcontinental Realty Investors' Capital Expenditures was $37.66 million through Jun 30, 2026, down 60.9% year-over-year; for FY2025, it came in at $79.49 million, up 37.2% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 35.3% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $57.93 million in FY2024 (+213.8%), $18.46 million in FY2023 (-1.2%), $18.69 million in FY2022 (+131.5%) and $8.07 million in FY2021 (-53.9%).
- Quarterly Capital Expenditures has moved between -$700,000 (Q4 2021) and $26.98 million (Q4 2024) over five years.
- Compared with a year earlier, Capital Expenditures has declined for four straight quarters, with growth averaging 110.3% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2025 (growth of 361.8%); the worst was Q1 2026 (a decline of 82.5%).
- Per Business Quant data, TCI's Capital Expenditures in the three quarters before Q2 2026 was $4.63 million (Q1 2026), $11.34 million (Q4 2025) and $14.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 254.90 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Transcontinental Realty Investors | 387.91 Mn | 406.87 Mn | - | 6.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.92 Mn |
| Mar 31, 2026 | 4.63 Mn |
| Dec 31, 2025 | 11.34 Mn |
| Sep 30, 2025 | 14.78 Mn |
| Jun 30, 2025 | 26.93 Mn |
| Mar 31, 2025 | 26.45 Mn |
| Dec 31, 2024 | 26.98 Mn |
| Sep 30, 2024 | 15.93 Mn |
| Jun 30, 2024 | 9.30 Mn |
| Mar 31, 2024 | 5.73 Mn |
| Dec 31, 2023 | 8.59 Mn |
| Sep 30, 2023 | 3.63 Mn |
| Jun 30, 2023 | 591,000.00 |
| Mar 31, 2023 | 5.65 Mn |
| Dec 31, 2022 | 6.85 Mn |
| Sep 30, 2022 | 3.62 Mn |
| Jun 30, 2022 | 1.83 Mn |
| Mar 31, 2022 | 6.39 Mn |
| Dec 31, 2021 | -700,000.00 |
| Sep 30, 2021 | 1.78 Mn |
Transcontinental Realty Investors Capital Expenditures 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=capital-expenditures&ticker=TCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "TCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=TCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();