Independence Realty Trust (IRT) Operating Expenses (2011 - 2026)
Independence Realty Trust (IRT) posted Operating Expenses of $141.3 million for Q2 2026, up 4.9% from $134.68 million a year earlier but down 1.6% from the prior quarter.
Independence Realty Trust (IRT) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Independence Realty Trust was $553.88 million, up 6.1% year-over-year; for FY2025, it came in at $537.79 million, up 4.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- In prior years, Independence Realty Trust's Operating Expenses was $514.55 million in FY2024 (+0.1%), $514.07 million in FY2023 (-2.4%), $526.55 million in FY2022 (+165.0%) and $198.67 million in FY2021 (+18.2%).
- Quarterly Operating Expenses has run from a low of $46.73 million in Q3 2021 to a high of $146.15 million in Q1 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 3.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 220.3%; the weakest was Q1 2023, with a decline of 12.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $143.58 million (Q1 2026), $132.35 million (Q4 2025) and $136.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Independence Realty Trust | 3.43 Bn | 3.55 Bn | - | 141.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.30 Mn |
| Mar 31, 2026 | 143.58 Mn |
| Dec 31, 2025 | 132.35 Mn |
| Sep 30, 2025 | 136.65 Mn |
| Jun 30, 2025 | 134.68 Mn |
| Mar 31, 2025 | 134.11 Mn |
| Dec 31, 2024 | 124.09 Mn |
| Sep 30, 2024 | 129.19 Mn |
| Jun 30, 2024 | 129.39 Mn |
| Mar 31, 2024 | 131.87 Mn |
| Dec 31, 2023 | 127.37 Mn |
| Sep 30, 2023 | 129.77 Mn |
| Jun 30, 2023 | 129.46 Mn |
| Mar 31, 2023 | 127.47 Mn |
| Dec 31, 2022 | 120.25 Mn |
| Sep 30, 2022 | 120.87 Mn |
| Jun 30, 2022 | 139.28 Mn |
| Mar 31, 2022 | 146.15 Mn |
| Dec 31, 2021 | 60.83 Mn |
| Sep 30, 2021 | 46.73 Mn |
Independence Realty Trust 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=operating-expenses&ticker=IRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=IRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();