Industrial Logistics Properties Trust (ILPT) Shares Outstanding (Diluted) (2017 - 2026)
Industrial Logistics Properties Trust's Shares Outstanding (Diluted) was 66.22 million in Q2 2026, up 0.5% from 65.93 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Industrial Logistics Properties Trust (ILPT) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Industrial Logistics Properties Trust came in at 66.01 million, up 0.5% from FY2024.
- Shares Outstanding (Diluted) has now increased for eight consecutive years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 65.7 million in FY2024 (+0.4%), 65.43 million in FY2023 (+0.3%), 65.25 million in FY2022 (+0.1%) and 65.21 million in FY2021 (+0.1%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2017.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 15 straight quarters, with growth averaging 0.5% over the last eight quarters.
- Per Business Quant data, ILPT's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 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 (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.96 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 957.88 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 934.66 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 176.51 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 497.72 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 220.36 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 | - | 383.88 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 | 65.21 Mn |
| Sep 30, 2021 | 65.23 Mn |
API Access
Industrial Logistics Properties Trust Shares Outstanding (Diluted) 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-diluted&ticker=ILPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();