InvenTrust Properties (IVT) Operating Expenses (2010 - 2026)
InvenTrust Properties (IVT) reported Operating Expenses of $70.16 million for Q2 2026, up 14.8% from $61.11 million a year earlier and up 3.7% from the prior quarter.
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Analysis
InvenTrust Properties (IVT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, InvenTrust Properties' Operating Expenses came in at $265.18 million, up 12.6% year-over-year; for FY2025, it was $247.77 million, up 9.2% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $226.97 million in FY2024 (+1.8%), $222.87 million in FY2023 (+10.6%), $201.46 million in FY2022 (-3.7%) and $209.2 million in FY2021 (+16.5%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2016.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 8.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 51.8%); the low point was Q4 2022 (a decline of 17.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $67.63 million (Q1 2026), $66.24 million (Q4 2025) and $61.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | InvenTrust Properties | 2.39 Bn | 2.39 Bn | - | 70.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.16 Mn |
| Mar 31, 2026 | 67.63 Mn |
| Dec 31, 2025 | 66.24 Mn |
| Sep 30, 2025 | 61.15 Mn |
| Jun 30, 2025 | 61.11 Mn |
| Mar 31, 2025 | 59.26 Mn |
| Dec 31, 2024 | 58.85 Mn |
| Sep 30, 2024 | 56.27 Mn |
| Jun 30, 2024 | 56.74 Mn |
| Mar 31, 2024 | 55.12 Mn |
| Dec 31, 2023 | 55.72 Mn |
| Sep 30, 2023 | 57.78 Mn |
| Jun 30, 2023 | 55.02 Mn |
| Mar 31, 2023 | 54.35 Mn |
| Dec 31, 2022 | 53.31 Mn |
| Sep 30, 2022 | 50.98 Mn |
| Jun 30, 2022 | 50.12 Mn |
| Mar 31, 2022 | 47.04 Mn |
| Dec 31, 2021 | 64.75 Mn |
| Sep 30, 2021 | 48.44 Mn |
API Access
InvenTrust Properties 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=IVT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IVT", "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=IVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();