PANL

Pangaea Logistics Solutions Industrials Investor Relations →

NO
30.1% ABOVE
↓ Approaching Was 31.4% last week
-15% -10% -5% 0% 5% 10% 15%+
Buy Threshold $5.85
14-Week RSI 55
Rel. Volume (14w) This week's trading vs. the 14-week average 0.7x
Buyers vs. Sellers (14w) Are up-weeks or down-weeks getting more volume? 0.84

Pangaea Logistics Solutions (PANL) closed at $7.61 as of 2026-07-31, trading 30.1% above its 200-week moving average of $5.85. The stock is currently moving closer to the line, down from 31.4% last week. The 14-week RSI sits at 55, indicating neutral momentum.

Trading volume is running at 0.7x of its 14-week average, which is in the normal range. The balance between buying and selling volume (0.84 ratio) is neutral — neither side is clearly dominating.

Over the past 610 weeks of data, PANL has crossed below its 200-week moving average 10 times. On average, these episodes lasted 27 weeks. Historically, investors who bought PANL at the start of these episodes saw an average one-year return of +20.6%.

With a market cap of $498 million, PANL is a small-cap stock. The company generates a free cash flow yield of 9.3%, which is notably high. Return on equity stands at 7.6%. The stock trades at 1.1x book value.

Share count has increased 41.6% over three years, indicating dilution. 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 11.8 years, a hypothetical investment of $100 in PANL would have grown to $196, compared to $439 for the S&P 500. PANL has returned 5.9% annualized vs 13.4% for the index, underperforming the broader market over this period.

Free cash flow has been declining at a -21.7% 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: PANL vs S&P 500

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

What Happens After PANL Crosses Below the Line?

Across 10 historical episodes, buying PANL when it crossed below its 200-week moving average produced an average return of +23.4% after 12 months (median +10.0%), compared to +19.3% for the S&P 500 over the same periods. 67% of those episodes were profitable after one year. After 24 months, the average return was +28.7% vs +36.2% for the index.

Each line shows $100 invested at the moment PANL 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 PANL would reach each dislocation threshold.

Current Bean Score +1.84σ
Current FCF Yield 12.68%
Baseline Yield 11.48%
Historical σ 1.13pp

Dislocation Price Levels

Prices where PANL's Bean Score would hit each σ threshold. Valid until next earnings report: 2026-08-06.

LevelσPriceSignal
Deep Value+2σ$6.51Unusually cheap — potential buy zone
Value+1σ$7.14Cheap vs. own history
Fair Value+0σ$7.90Historical mean behavior
Expensive-1σ$8.84Expensive vs. own history
Deep Expensive-2σ$10.04Unusually expensive — potential trim zone

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

Data depth: 2 quarterly baselines, 26 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?"

12 / 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 PANL'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.

Yield Dislocation -0.98σ Dividend yield vs own 10-yr norm
Drawdown Score -0.57σ Distance from line vs own history
Sector-Relative +0.13σ Vs sector median this week
Buyback Acceleration -12.3pp YoY share change vs own 3-yr pace (− = accelerating)
Insider Intensity N/A TTM buys / market cap, percentile of buyers
FCF Yield vs History -6.5pp Vs own recent annual mean
Earnings Quality Improving Accrual gap trend (-5.5pp 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.

Historical Touches

PANL has crossed below its 200-week MA 10 times with an average 1-year return of +20.6% after recovery.

Crossed BelowRecoveredWeeksMax Depth1-Year ReturnReturn Since Touch
Nov 2014Nov 201715470.2%-42.5%+96.1%
Dec 2017Jul 20183344.8%-20.5%+170.3%
Dec 2018Dec 201822.9%+5.0%+254.2%
Dec 2019Feb 202051.8%-6.1%+237.3%
Feb 2020Oct 20203342.9%+6.5%+239.6%
Oct 2020Feb 20211413.1%+73.1%+272.6%
Dec 2024Dec 202426.1%+50.3%+66.8%
Feb 2025Mar 202553.8%+75.6%+55.3%
Mar 2025Aug 20252123.5%+44.0%+62.9%
Sep 2025Nov 2025513.5%N/A+52.4%
Average27+20.6%

Frequently Asked Questions

Is PANL below its 200-week moving average?

No. Pangaea Logistics Solutions (PANL) is currently 30.1% above its 200-week moving average of $5.85. It would need to fall to $5.85 to cross below the line.

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

Pangaea Logistics Solutions's 200-week moving average is $5.85 as of 2026-07-31. 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 PANL drops below its 200-week moving average?

PANL has crossed below its 200-week moving average 10 times in our data. On average, buying at that moment produced a one-year return of +20.6%. These dips have historically been decent entry points. These episodes lasted 27 weeks on average.

Is PANL a good value right now?

Here's what our data says about PANL as of 2026-07-31: The stock is above its 200-week moving average, so it doesn't currently meet our primary signal. The 14-week RSI is 55. Free cash flow yield is 9.3%. Return on equity is 7.6%. Price-to-book is 1.1x. This is not a buy or sell recommendation — always do your own research.

How does PANL compare to the S&P 500?

Over the past 11.8 years, $100 invested in PANL would have grown to $196, compared to $439 for the S&P 500. That's 5.9% annualized vs 13.4% for the index. PANL has underperformed the broader market over this period.

Does PANL pay a dividend?

Yes. Pangaea Logistics Solutions currently pays a dividend yield of 265.00%.

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 2026-07-31