Industrial Logistics Properties Trust (ILPT) Shares Outstanding (2017 - 2026)
Industrial Logistics Properties Trust (ILPT) recorded Shares Outstanding of 66.22 million in Q2 2026, up 0.5% from 65.93 million a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Industrial Logistics Properties Trust (ILPT) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Industrial Logistics Properties Trust reported Shares Outstanding of 66.01 million, up 0.5% from FY2024.
- Annual Shares Outstanding has increased for eight straight years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 65.7 million in FY2024 (+0.4%), 65.43 million in FY2023 (+0.3%), 65.25 million in FY2022 (+0.1%) and 65.17 million in FY2021 (+0.1%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q1 2017.
- On a year-over-year basis, Shares Outstanding has increased for 28 consecutive quarters, with growth averaging 0.5% over the last eight quarters.
- Per Business Quant, the preceding three quarters came in at 66.18 million (Q1 2026), 66.01 million (Q4 2025) and 66.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.18 Mn |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - | 66.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.22 Mn |
| Mar 31, 2026 | 66.18 Mn |
| Dec 31, 2025 | 66.01 Mn |
| Sep 30, 2025 | 66.09 Mn |
| Jun 30, 2025 | 65.93 Mn |
| Mar 31, 2025 | 65.83 Mn |
| Dec 31, 2024 | 65.70 Mn |
| Sep 30, 2024 | 65.77 Mn |
| Jun 30, 2024 | 65.63 Mn |
| Mar 31, 2024 | 65.56 Mn |
| Dec 31, 2023 | 65.43 Mn |
| Sep 30, 2023 | 65.49 Mn |
| Jun 30, 2023 | 65.37 Mn |
| Mar 31, 2023 | 65.31 Mn |
| Dec 31, 2022 | 65.25 Mn |
| Sep 30, 2022 | 65.25 Mn |
| Jun 30, 2022 | 65.22 Mn |
| Mar 31, 2022 | 65.21 Mn |
| Dec 31, 2021 | 65.17 Mn |
| Sep 30, 2021 | 65.18 Mn |
API Access
Industrial Logistics Properties Trust Shares Outstanding 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=shares-outstanding&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ILPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();