Transcontinental Realty Investors (TCI) Real Estate - Net (2010 - 2026)
Transcontinental Realty Investors (TCI) recorded Real Estate - Net of $603.22 million in Q2 2026, down 0.4% from $605.86 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Transcontinental Realty Investors (TCI) Real Estate - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Transcontinental Realty Investors reported Real Estate - Net of $602.43 million, up 8.1% from FY2024.
- Annual Real Estate - Net has increased for four straight years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier years, Real Estate - Net came in at $557.39 million in FY2024 (+11.1%), $501.59 million in FY2023 (+1.6%), $493.82 million in FY2022 (+66.6%) and $296.36 million in FY2021 (-21.5%).
- Quarterly Real Estate - Net has ranged from $270.16 million in Q3 2022 to $612.11 million in Q3 2025 over the past five years.
- On a year-over-year basis, Real Estate - Net rose in seven of the last eight quarters, with growth averaging 9.6%.
- Peak year-over-year performance for Real Estate - Net in the last five years was growth of 85.8% in Q3 2023, against a decline of 21.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $601.66 million (Q1 2026), $602.43 million (Q4 2025) and $612.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Transcontinental Realty Investors | 387.91 Mn | 406.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 603.22 Mn |
| Mar 31, 2026 | 601.66 Mn |
| Dec 31, 2025 | 602.43 Mn |
| Sep 30, 2025 | 612.11 Mn |
| Jun 30, 2025 | 605.86 Mn |
| Mar 31, 2025 | 582.23 Mn |
| Dec 31, 2024 | 557.39 Mn |
| Sep 30, 2024 | 527.56 Mn |
| Jun 30, 2024 | 513.33 Mn |
| Mar 31, 2024 | 503.14 Mn |
| Dec 31, 2023 | 501.59 Mn |
| Sep 30, 2023 | 502.03 Mn |
| Jun 30, 2023 | 501.26 Mn |
| Mar 31, 2023 | 502.94 Mn |
| Dec 31, 2022 | 493.82 Mn |
| Sep 30, 2022 | 270.16 Mn |
| Jun 30, 2022 | 283.70 Mn |
| Mar 31, 2022 | 284.48 Mn |
| Dec 31, 2021 | 296.36 Mn |
| Sep 30, 2021 | 300.02 Mn |
API Access
Transcontinental Realty Investors Real Estate - Net 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=real-estate-net&ticker=TCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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=real-estate-net&ticker=TCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();