Innovative Industrial Properties (IIPR) Operating Expenses (2017 - 2026)
Innovative Industrial Properties (IIPR) posted Operating Expenses of $33.71 million for Q2 2026, down 0.8% from $33.99 million a year earlier and down 7.7% from the prior quarter.
Innovative Industrial Properties (IIPR) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Innovative Industrial Properties was $139.98 million, down 0.8% year-over-year; for FY2025, it was $141.51 million, up 3.5% from FY2024.
- Annual Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- In prior years, Innovative Industrial Properties' Operating Expenses was $136.72 million in FY2024 (+1.3%), $134.92 million in FY2023 (+22.3%), $110.34 million in FY2022 (+59.5%) and $69.18 million in FY2021 (+46.7%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with growth averaging 1.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 68.1%; the weakest was Q1 2026, with a decline of 3.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $36.51 million (Q1 2026), $34.49 million (Q4 2025) and $35.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 157.27 Bn | 138.76 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 119.02 Bn | 119.02 Bn | - | 1.47 Bn |
| 3 | Simon Property | 64.22 Bn | 64.22 Bn | - | 994.93 Mn |
| 4 | Realty Income | 49.78 Bn | 49.78 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.58 Bn | 48.57 Bn | - | 766.20 Mn |
| 6 | Ventas | 39.19 Bn | 37.87 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 24.68 Bn | 22.79 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.20 Bn | 22.20 Bn | - | 566.18 Mn |
| 10 | Innovative Industrial Properties | 1.46 Bn | 1.46 Bn | - | 33.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.71 Mn |
| Mar 31, 2026 | 36.51 Mn |
| Dec 31, 2025 | 34.49 Mn |
| Sep 30, 2025 | 35.27 Mn |
| Jun 30, 2025 | 33.99 Mn |
| Mar 31, 2025 | 37.76 Mn |
| Dec 31, 2024 | 34.74 Mn |
| Sep 30, 2024 | 34.57 Mn |
| Jun 30, 2024 | 34.00 Mn |
| Mar 31, 2024 | 33.42 Mn |
| Dec 31, 2023 | 35.20 Mn |
| Sep 30, 2023 | 33.98 Mn |
| Jun 30, 2023 | 33.03 Mn |
| Mar 31, 2023 | 32.71 Mn |
| Dec 31, 2022 | 29.82 Mn |
| Sep 30, 2022 | 29.53 Mn |
| Jun 30, 2022 | 26.37 Mn |
| Mar 31, 2022 | 24.63 Mn |
| Dec 31, 2021 | 20.48 Mn |
| Sep 30, 2021 | 17.56 Mn |
Innovative Industrial 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=IIPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IIPR", "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=IIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();