Innovative Industrial Properties (IIPR) EBITDA Margin (2017 - 2026)
Innovative Industrial Properties' EBITDA Margin was 95.15% in Q2 2026, up 19.79 percentage points from 75.37% a year earlier and up 20.52 percentage points from the prior quarter.
Innovative Industrial Properties (IIPR) EBITDA Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Innovative Industrial Properties' EBITDA Margin was 79.72% through Jun 30, 2026, up 3.33 percentage points year-over-year; for FY2025, it came in at 74.52%, down 3.00 percentage points from FY2024.
- EBITDA Margin has now declined for four consecutive years, with a five-year change of -9.11 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 77.52% in FY2024 (-0.60 pp), 78.12% in FY2023 (-5.44 pp), 83.56% in FY2022 (-3.04 pp) and 86.60% in FY2021 (+2.97 pp).
- The Q2 2026 figure marks the highest quarterly EBITDA Margin in data going back to Q1 2017.
- Compared with a year earlier, EBITDA Margin was higher in five of the last eight quarters, with an average year-over-year change of +1.42 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2026 (a gain of 19.79 percentage points); the worst was Q4 2023 (a drop of 8.79 percentage points).
- Per Business Quant data, IIPR's EBITDA Margin in the three quarters before Q2 2026 was 74.63% (Q1 2026), 75.59% (Q4 2025) and 74.29% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 157.27 Bn | 138.76 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 119.02 Bn | 119.02 Bn | - | 80.02% |
| 3 | Simon Property | 64.22 Bn | 64.22 Bn | - | 73.69% |
| 4 | Realty Income | 49.78 Bn | 49.78 Bn | - | 87.42% |
| 5 | Public Storage | 49.58 Bn | 48.57 Bn | - | 61.19% |
| 6 | Ventas | 39.19 Bn | 37.87 Bn | - | 36.41% |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 24.68 Bn | 22.79 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 22.20 Bn | 22.20 Bn | - | - |
| 10 | Innovative Industrial Properties | 1.46 Bn | 1.46 Bn | - | 95.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.15% |
| Mar 31, 2026 | 74.63% |
| Dec 31, 2025 | 75.59% |
| Sep 30, 2025 | 74.29% |
| Jun 30, 2025 | 75.37% |
| Mar 31, 2025 | 73.00% |
| Dec 31, 2024 | 78.51% |
| Sep 30, 2024 | 78.28% |
| Jun 30, 2024 | 74.97% |
| Mar 31, 2024 | 78.44% |
| Dec 31, 2023 | 77.13% |
| Sep 30, 2023 | 77.77% |
| Jun 30, 2023 | 78.64% |
| Mar 31, 2023 | 78.97% |
| Dec 31, 2022 | 85.92% |
| Sep 30, 2022 | 80.78% |
| Jun 30, 2022 | 84.21% |
| Mar 31, 2022 | 83.32% |
| Dec 31, 2021 | 85.96% |
| Sep 30, 2021 | 87.61% |
Innovative Industrial Properties EBITDA Margin 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=ebitda-margin&ticker=IIPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=IIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();