Stock analysis, trade plans, and proprietary indicators by Trend Edge.
About Industrial Logistics Properties Trust
Industrial Logistics Properties Trust is a real estate investment trust focused on owning and leasing high quality industrial and logistics properties. As of March 31, 2026, ILPT's portfolio consisted of 409 properties containing approximately 59.6 million rentable square feet located in 39 states. Approximately 77% of ILPT's annualized rental revenues as of March 31, 2026, are derived from investment grade tenants, tenants that are subsidiaries … Read full Trend Edge analysis →
Sector: Real Estate
Industry: REIT-Industrial
Exchange: NASDAQ
IPO Date: January 12, 2018
Headquarters: Two Newton Place, Newton, MA, United States, 02458-1634
Founder-Led: Yes — Adam David Portnoy (Managing Trustee)
Key Metrics
Current Price
$8.69
Market Cap
$565M
Float
56.2M
Shares Outstanding
66.7M
P/E (Forward)
17.42
Price/Sales (TTM)
1.25
vs. Analyst Target
+11.0% to analyst PT
Profit Margin
-11.93%
Operating Margin (TTM)
34.40%
Revenue (TTM)
$453M
Earnings Growth (YoY)
56.50%
Dividend Rate
0.2%
Analyst Target Price
$9.65 (3 analysts)
Financial History
Annual Revenue & Earnings History
Year
Revenue
Net Income
Gross Profit
EBITDA
2020
$255M
$82.1M
$200M
$177M
2021
$220M
$120M
$190M
$165M
2022
$388M
-$227M
$338M
$147M
2023
$437M
-$108M
$377M
$317M
2024
$442M
-$95.7M
$380M
$322M
2025
$449M
-$66.2M
$56.7M
$328M
Recent Quarterly Revenue & Net Income
Quarter
Revenue
Net Income
Jun 2025
$112M
-$21.3M
Sep 2025
$111M
-$21.6M
Dec 2025
$114M
-$1.8M
Mar 2026
$116M
-$9.4M
Ownership & Float
Insider Ownership
17.1%
Institutional Ownership
53.1%
Short Float
1.4%
% of All Funds Holding
1.74%
Number of Funds Holding
143
Current Moving Averages
Trend Edge tracks near-term, medium-term, cyclical, and secular moving averages across weekly and monthly timeframes to identify trend structure at every horizon.
Timeframe
SMA
Value
Trend Context
Weekly
10-Week SMA
$7.15
Near-term / short-term trend
Weekly
40-Week SMA
$6.10
Medium-term trend
Weekly
80-Week SMA
$5.02
Cyclical trend (business cycle)
Weekly
200-Week SMA
$4.44
Secular trend (multi-year)
Monthly
10-Month SMA
$6.13
Near-term monthly trend
Monthly
20-Month SMA
$4.98
Medium-term monthly trend
Monthly
40-Month SMA
$4.34
Secular monthly trend
Volume Shelves — Support & Resistance
Trend Edge identifies volume shelves: price zones where historically elevated trading volume
creates structural support or resistance. A volume shelf forms when a disproportionate share of cumulative
volume was transacted at a specific price level, making it a high-conviction anchor for future price reactions.
Price Level
Type
Volume Ratio
Age
$5.70
support
1.03x
0 months ago
$7.50
support
1.00x
0 months ago
$4.60
support
1.55x
9 months ago
$3.30
support
1.41x
10 months ago
$2.70
support
1.05x
11 months ago
Historical Earnings Reactions (34 events)
Timeframe
Avg Return
Median
Win Rate
Best
Worst
Gap
0.10%
0.00%
47.06%
5.11%
-5.67%
1 Day
0.30%
0.13%
50.00%
16.10%
-9.31%
1 Week
-0.03%
0.83%
55.88%
20.52%
-15.50%
2 Weeks
-1.07%
0.00%
47.06%
23.66%
-25.67%
1 Month
-1.59%
-0.37%
48.48%
38.86%
-27.20%
Next earnings: July 18, 2026 (50 days away)
Seasonality & Day-of-Week Patterns
Monthly Seasonality
Month
Avg Return
Win Rate
Samples
Jan
2.3%
50.0%
8
Feb
-3.1%
22.2%
9
Mar
-4.0%
44.4%
9
Apr
-6.6%
44.4%
9
May
1.9%
62.5%
8
Jun
17.5%
75.0%
8
Jul
8.6%
87.5%
8
Aug
-1.6%
62.5%
8
Sep
-9.2%
12.5%
8
Oct
-8.9%
12.5%
8
Nov
3.6%
62.5%
8
Dec
3.8%
50.0%
8
Day-of-Week Tendencies
Day
Avg Return
Win Rate
Samples
Monday
0.10%
47.7%
394
Tuesday
0.15%
50.9%
434
Wednesday
-0.13%
44.8%
429
Thursday
-0.08%
49.3%
422
Friday
-0.03%
47.4%
422
Top Institutional Holders
Institutional holder breakdown coming soon.
Total institutional ownership: 53.1%
Insider Transactions — Smart Summary
Total insider ownership: 17.1%
Founder-led management: Adam David Portnoy (Managing Trustee)
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The analysis covers five layers:
technical analysis (near-term, medium-term, cyclical, and secular trend, momentum,
volume shelf support and resistance, breakout and breakdown signals),
qualitative analysis (business model, competitive moat, sector dynamics),
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share stats analysis (institutional accumulation, fund positioning, short float squeeze potential), and
fundamental analysis (valuation, revenue growth, profit margin, earnings quality).
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