ILPT

Industrial Logistics Properties Trust Real Estate - REIT - Industrial Investor Relations →

NO
90.0% ABOVE
↓ Approaching Was 111.1% last week
-15% -10% -5% 0% 5% 10% 15%+
Buy Threshold $4.26
14-Week RSI 66
Rel. Volume (14w) This week's trading vs. the 14-week average 1.5x
Buyers vs. Sellers (14w) Are up-weeks or down-weeks getting more volume? 1.27

Industrial Logistics Properties Trust (ILPT) closed at $8.10 as of 2026-06-19, trading 90.0% above its 200-week moving average of $4.26. The stock is currently moving closer to the line, down from 111.1% last week. The 14-week RSI sits at 66, indicating neutral momentum.

Trading volume is running at 1.5x of its 14-week average, which is in the normal range. The balance between buying and selling volume (1.27 ratio) is neutral — neither side is clearly dominating.

Over the past 392 weeks of data, ILPT has crossed below its 200-week moving average 4 times. On average, these episodes lasted 56 weeks. The average one-year return after crossing below was -4.5%, suggesting these dips have not historically been reliable buying opportunities for this stock.

With a market cap of $540 million, ILPT is a small-cap stock. The company generates a free cash flow yield of 26.7%, which is notably high. Return on equity stands at -9.6%. The stock trades at 1.1x book value.

This stock also meets the Yartseva multibagger criteria as a small-cap with strong free cash flow yield and reasonable book value.

Over the past 7.6 years, a hypothetical investment of $100 in ILPT would have grown to $55, compared to $336 for the S&P 500. ILPT has returned -7.5% annualized vs 17.3% for the index, underperforming the broader market over this period.

Free cash flow has been declining at a -10% compound annual rate. A deteriorating cash flow trend warrants extra scrutiny — the stock may be cheap for a reason.

Business Health

Annual financials — how the underlying business has performed over the past several years.

Cash Flow Free cash flow & net income ($M)

Revenue Annual revenue ($M) — business growth proxy

Total Debt Balance sheet debt ($M)

ROIC Return on invested capital (%)

FCF Yield Free cash flow / market cap (%) — Yartseva signal

Gross Margin Pricing power & competitive moat (%)

Shares Outstanding Buybacks vs dilution (millions)

Growth of $100: ILPT vs S&P 500

Monthly data normalized to $100 at start. Vertical dashed lines mark 200-week MA touches.

What Happens After ILPT Crosses Below the Line?

Across 4 historical episodes, buying ILPT when it crossed below its 200-week moving average produced an average return of +3.0% after 12 months (median +24.0%), compared to +24.8% for the S&P 500 over the same periods. 75% of those episodes were profitable after one year. After 24 months, the average return was +13.0% vs +51.2% for the index.

Each line shows $100 invested at the moment ILPT crossed below its 200-week MA. Bold blue = stock average. Gray dashed = S&P 500 average over same periods.

Bean Score Experimental

The Bean Score measures how far a stock's free cash flow yield has deviated from its own quarterly baseline, normalized by the stock's historical behavior. Between earnings dates, FCF is constant — so the score is purely a function of stock price. The levels below show at what prices ILPT would reach each dislocation threshold.

Current Bean Score -1.63σ
Current FCF Yield 11.36%
Baseline Yield 18.15%
Historical σ 2.60pp

Dislocation Price Levels

Prices where ILPT's Bean Score would hit each σ threshold. Valid until next earnings report: 2026-07-28.

LevelσPriceSignal
Deep Value+2σ$4.70Unusually cheap — potential buy zone
Value+1σ$5.37Cheap vs. own history
Fair Value+0σ$6.27Historical mean behavior
Expensive-1σ$7.53Expensive vs. own history
Deep Expensive-2σ$9.41Unusually expensive — potential trim zone

Quarterly FCF & Yield Trailing twelve-month free cash flow and yield at each quarter end

Data depth: 2 quarterly baselines, 22 price observations — Limited history (4+ quarters preferred for reliability)

Signal Accuracy Collecting Data

The Bean Score system is accumulating weekly data to validate signal accuracy. After 13+ weeks of history, this section will display win rates and average returns for each σ threshold crossing — answering the question: "When this score says cheap or expensive, does the price subsequently move in the expected direction?"

11 / 13 weeks minimum

Theoretical framework — not backtested or forward-tested. The Bean Score uses trailing twelve-month free cash flow yield as a dislocation identifier. It measures whether the market has pushed a stock's yield unusually far from its own baseline behavior. These levels are reference points for identifying potential swing trade opportunities, not buy/sell signals. FCF values update quarterly with earnings; between reports, all movement is price-driven.

Dislocation Scores Experimental

Each score measures deviation from ILPT's own historical baseline — the same idea as the Bean Score, applied to different fundamentals. Positive means cheaper or more dislocated than this stock's norm. Scores marked σ are normalized by the stock's own variability; pp values are simple deltas from its recent baseline.

⚠ Earnings quality deteriorating — net income is outrunning free cash flow vs this company's own norm. Cheapness signals here deserve extra scrutiny.
Yield Dislocation -0.61σ Dividend yield vs own 10-yr norm
Drawdown Score -2.53σ Distance from line vs own history
Sector-Relative N/A Vs sector median this week
Buyback Acceleration +0.2pp YoY share change vs own 3-yr pace (− = accelerating)
Insider Intensity 45th TTM buys / market cap, percentile of buyers
FCF Yield vs History +13.7pp Vs own recent annual mean
Earnings Quality Deteriorating Accrual gap trend (+14.4pp of revenue)

Theoretical framework — not backtested. These scores describe how unusual today's readings are for this specific company. They are starting points for research, not buy or sell signals. Annual-statement scores (buyback, accruals, FCF vs history) rest on only ~4 yearly data points and are deltas, not sigmas.

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Historical Touches

ILPT has crossed below its 200-week MA 4 times with an average 1-year return of +-4.5% after recovery.

Crossed BelowRecoveredWeeksMax Depth1-Year ReturnReturn Since Touch
Dec 2018Jan 2019613.6%+23.5%-41.8%
Feb 2019Jun 2019177.5%+6.9%-48.8%
Mar 2020Jun 20201228.8%+40.0%-44.2%
Apr 2022Dec 202519089.1%-88.6%-56.0%
Average56+-4.5%

Frequently Asked Questions

Is ILPT below its 200-week moving average?

No. Industrial Logistics Properties Trust (ILPT) is currently 90.0% above its 200-week moving average of $4.26. It would need to fall to $4.26 to cross below the line.

What is ILPT's 200-week moving average price?

Industrial Logistics Properties Trust's 200-week moving average is $4.26 as of 2026-06-19. This is the average weekly closing price over roughly the last 4 years, and it acts as a long-term trend line. When a stock drops below this level, it can signal that the price has fallen far enough from the long-term trend to attract value-oriented investors.

What happens when ILPT drops below its 200-week moving average?

ILPT has crossed below its 200-week moving average 4 times in our data. The average one-year return after these crossings was -4.5%, meaning the dips were not reliable buying signals for this particular stock. These episodes lasted 56 weeks on average.

Is ILPT a good value right now?

Here's what our data says about ILPT as of 2026-06-19: The stock is above its 200-week moving average, so it doesn't currently meet our primary signal. The 14-week RSI is 66. Free cash flow yield is 26.7%. Return on equity is -9.6%. Price-to-book is 1.1x. This is not a buy or sell recommendation — always do your own research.

How does ILPT compare to the S&P 500?

Over the past 7.6 years, $100 invested in ILPT would have grown to $55, compared to $336 for the S&P 500. That's -7.5% annualized vs 17.3% for the index. ILPT has underperformed the broader market over this period.

Does ILPT pay a dividend?

Yes. Industrial Logistics Properties Trust currently pays a dividend yield of 231.00%.

Not financial advice. This is an educational tool. Past performance does not guarantee future results. Do your own research before making investment decisions.

Data as of week of 2026-06-19