PM

Philip Morris International Seasonal Stock Pattern
$182.27 +2.58%

17 years of seasonal data. AI scored daily.

Best Month Feb +4.0% 67% win rate
Worst Month Aug -1.6% 35% win rate
AI Bias LONG 95.1 84.5% win prob
History 17 yrs Updated daily

Philip Morris International (PM) has historically averaged +4.0% in Feb with a 67% win rate over 17 years of data, making Feb the best month to buy PM stock. Aug is the weakest month, averaging -1.6%. TradeWave's AI currently assigns PM a long seasonal bias with a score of 95.1 and 84.5% win probability, based on 17 years of comparable seasonal windows.

Next 30 Days for PM: Seasonal Outlook

Over the last 17 years, buying PM on this calendar date (2026-07-04) and holding through 2026-08-03 produced +2.86% on average, with 12 winning years and 5 losing years. TradeWave's AI derives a LONG bias for this setup.

Midterm (Year 2) only (4 samples)
PM has averaged +3.31% in this 30-day window during midterm years (3 up, 1 down).
That's +0.45 pts vs the all-years average of +2.86%. 2026 is a midterm year.
AI Score: 95.1 LONG bias 84.5% Model Win Prob +3.97% Predicted +6.84% Peak

Best historical year in this window: 2024 (+15.4%). Worst: 2025 (-10.1%). This synthetic 30-day setup is re-scored daily.

See PM in TradeWave →

Monthly Seasonality for PM

Average monthly return from 2009 to 2026. Green bars are positive months, red bars are negative. The highlighted bar is PM's historically strongest month.

+4.0% 0% -4.0% +0.3% Jan +4.0% Feb +1.2% Mar +1.7% Apr +0.7% May +0.8% Jun +3.4% Jul -1.6% Aug -0.6% Sep +2.4% Oct +0.7% Nov +0.5% Dec

Based on 17 years of data (2009 to 2026). Best month is Feb, highlighted in gold.

PM Monthly Performance Stats

All 12 months, based on 17 years of historical price data.

Month Avg Return Win Rate Best Year Worst Year
Jan +0.32% 50% +14.0% -15.8%
Feb (best) +3.96% 67% +19.1% -10.5%
Mar +1.17% 72% +10.2% -12.6%
Apr +1.74% 67% +9.7% -15.9%
May +0.73% 61% +14.7% -10.7%
Jun +0.80% 56% +9.7% -5.5%
Jul +3.39% 71% +13.7% -7.6%
Aug (worst) -1.63% 35% +5.0% -12.6%
Sep -0.59% 41% +9.2% -12.7%
Oct +2.35% 53% +13.1% -9.4%
Nov +0.71% 41% +10.9% -8.1%
Dec +0.49% 71% +10.8% -22.1%

PM: All Years vs Midterm (Year 2) Only

2026 is a midterm (year 2) year in the 4 year presidential cycle. The same monthly seasonality recomputed using only prior midterm (year 2) years (2010, 2014, 2018, 2022) often tells a very different story. Months where the cycle phase diverges most from the long-run average are where seasonal edges either compound or evaporate.

Month All Years Avg Midterm (Year 2) Avg Difference Sample (Phase)
Jan +0.32% -1.70% -2.02 pts 4 yr
Feb +3.96% +2.47% -1.49 pts 4 yr
Mar +1.17% +0.15% -1.02 pts 4 yr
Apr +1.74% -3.79% -5.53 pts 4 yr
May +0.73% -0.42% -1.15 pts 4 yr
Jun +0.80% +0.33% -0.47 pts 4 yr
Jul +3.39% +3.00% -0.39 pts 4 yr
Aug -1.63% -2.16% -0.53 pts 4 yr
Sep -0.59% -0.13% +0.46 pts 4 yr
Oct +2.35% +6.91% +4.56 pts 4 yr
Nov +0.71% +0.42% -0.29 pts 4 yr
Dec +0.49% -6.07% -6.56 pts 4 yr

Highlighted rows show months where midterm (year 2) years diverge by more than 3 percentage points from the long-run average. Sample sizes are small by design. Each cycle phase contains roughly one year in four of historical data.

Beyond Monthly Averages: Precision Seasonal Windows

Monthly averages show you the general direction. TradeWave goes further, scanning up to 98 years of daily price data to detect specific recurring date-range windows where PM has shown the strongest historical consistency.

5 Active patterns right now
311d Window length (top pattern)
85% AI win probability

TradeWave has identified 5 precise windows active for PM right now, each with specific entry and exit dates and an AI-scored probability. These aren't broad monthly trends. They're exact date ranges backed by decades of historical data.

PM in Midterm (Year 2)

2026 is classified as midterm (year 2) in the 4 year presidential cycle. Historically, PM has averaged +4.0% returns in this cycle phase.

Post-Election
+17.2%
Midterm
+4.0%
Pre-Election
+21.2%
Election
+11.7%

Key Dates for PM

Next Earnings
2026-07-22
18 days away
Best Month to Buy
Feb
Avg +3.96%, 67% win rate
Worst Month
Aug
Avg -1.63%

PM Seasonal Pattern FAQ

Is PM a good stock to buy right now?

Over the last 17 years, PM has averaged +2.86% in the 30 days after 2026-07-04, winning 12 of 17 completed years. TradeWave's AI derives a LONG bias for this setup with an AI Score of 95.1 and 84.5% model win probability. This is seasonal pattern analysis, not a buy recommendation.

What is the best month to buy Philip Morris International stock?

Based on 17 years of historical data, Feb is the best month to buy Philip Morris International (PM) stock, with an average return of +4.0% and a 67% win rate.

What is the worst month for PM stock?

Aug is historically the worst month for Philip Morris International (PM) stock, with an average return of -1.6% and a 35% win rate over 17 years of data.

Should I buy or sell PM stock?

TradeWave's AI seasonal analysis currently shows a long bias for PM over the next 30 days, with an AI score of 95.1. This is based on how PM has historically performed during this same calendar window across 17 prior years. Seasonal patterns are one factor among many and should not be used as the sole basis for trading decisions.

Does Philip Morris International follow seasonal patterns?

Yes. Philip Morris International (PM) shows measurable seasonal tendencies across 17 years of historical data. The strongest month is Feb (+4.0% average return, 67% win rate) and the weakest is Aug (-1.6% average). These patterns are driven by factors like earnings cycles, tax-loss harvesting, fund rebalancing, and investor sentiment shifts. TradeWave's AI scores these patterns daily and identifies the highest-probability seasonal windows.

What is PM's stock forecast for 2026?

For the current seasonal window, TradeWave's AI projects a long bias for PM with +2.9% average historical return over the next 30 days. 2026 is a midterm (year 2) year in the presidential election cycle, which can amplify or dampen seasonal effects. See the election cycle section above for 2026-specific analysis.

Does PM follow election cycle patterns?

Yes, the cycle phase changes the picture for PM. Across all years, PM's strongest month is Feb (+4.0% avg). Looking only at prior midterm (year 2) years (4 samples: 2010, 2014, 2018, 2022), the biggest divergence is Dec, which averages -6.1% in this cycle phase versus +0.5% across all years (a -6.6 point shift). The strongest cycle-phase tailwind is Oct at +6.9% versus +2.4% all-years. 2026 is a midterm (year 2) year, so the cycle-filtered numbers are the more relevant guide right now.

How has PM performed historically by month?

Over 17 years of data, Philip Morris International (PM) shows distinct monthly patterns. The best month is Feb (+4.0% avg, 67% win rate) and the worst is Aug (-1.6% avg, 35% win rate). The full monthly breakdown with win rates, best and worst individual years, and election-cycle filters is shown in the tables above.

See the full seasonal analysis for PM

AI scored patterns, entry and exit windows, historical backtests, and daily picks. Free tier available.

Related Seasonal Patterns

Compare PM's seasonal trends with similar stocks. Philip Morris International's best month is Feb (+4.0% avg). See how these related tickers compare.

View all 100 seasonal patterns →

Seasonal analysis, not investment advice. Past performance does not guarantee future results.

Last updated 2026-07-04