Transcontinental Realty Investors (TCI) Property Operating Expenses (2009 - 2026)
Transcontinental Realty Investors (TCI) reported Property Operating Expenses of $8.18 million for Q2 2026, up 25.1% from $6.54 million a year earlier and up 11.5% from the prior quarter.
Transcontinental Realty Investors (TCI) Property Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Transcontinental Realty Investors' Property Operating Expenses came in at $30.88 million, up 17.3% year-over-year; for FY2025, it was $27.89 million, up 3.0% from FY2024.
- Property Operating Expenses has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By year, Property Operating Expenses came in at $27.06 million in FY2024 (-3.0%), $27.9 million in FY2023 (+52.1%), $18.34 million in FY2022 (-12.1%) and $20.86 million in FY2021 (-14.4%).
- The Q2 2026 figure ranks as the highest quarterly Property Operating Expenses since Q4 2018.
- Year over year, Property Operating Expenses has now increased in each of the last four quarters, with growth averaging 5.8% over the last eight quarters.
- The high point for year-over-year Property Operating Expenses in five years was Q2 2023 (growth of 84.4%); the low point was Q1 2022 (a decline of 30.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.33 million (Q1 2026), $7.82 million (Q4 2025) and $7.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 511.72 Mn |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 122.39 Mn |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 158.13 Mn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 1.10 Bn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Transcontinental Realty Investors | 416.76 Mn | 91.71 Mn | - | 8.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.18 Mn |
| Mar 31, 2026 | 7.33 Mn |
| Dec 31, 2025 | 7.82 Mn |
| Sep 30, 2025 | 7.55 Mn |
| Jun 30, 2025 | 6.54 Mn |
| Mar 31, 2025 | 5.98 Mn |
| Dec 31, 2024 | 6.82 Mn |
| Sep 30, 2024 | 6.99 Mn |
| Jun 30, 2024 | 6.62 Mn |
| Mar 31, 2024 | 6.63 Mn |
| Dec 31, 2023 | 7.32 Mn |
| Sep 30, 2023 | 7.44 Mn |
| Jun 30, 2023 | 7.03 Mn |
| Mar 31, 2023 | 6.11 Mn |
| Dec 31, 2022 | 5.80 Mn |
| Sep 30, 2022 | 4.70 Mn |
| Jun 30, 2022 | 3.81 Mn |
| Mar 31, 2022 | 4.03 Mn |
| Dec 31, 2021 | 4.36 Mn |
| Sep 30, 2021 | 5.61 Mn |
Transcontinental Realty Investors Property Operating Expenses 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=property-operating-expenses&ticker=TCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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=property-operating-expenses&ticker=TCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();