Gartner (IT) Seasonality

Recurring seasonal patterns for IT — the calendar windows where Gartner has historically tended to rise or fall, with the win rate (how often it repeated) and average return for each, based on the last 10 years of price history.

Patterns found
695
Upcoming this year
83
Bullish windows
457
Best win rate
90%

IT seasonality at a glance

Over the last 10 years, IT's strongest seasonal window has been Jun 27 – Jul 27: it ended higher in 9 of 10 years (90% win rate) with an average return of +4.34% across a 30-day hold. On the weak side, IT has historically declined between Sep 20 – Oct 10, falling in 9 of 10 years (average -2.06%).

In total, our analysis finds 695 recurring seasonal windows for Gartner457 bullish and 238 bearish. The next high-win-rate window, Aug 8 – Sep 7, opens in 12 days. These figures describe historical behaviour only — not a forecast.

IT's upcoming & recent seasonal patterns

Holding period:10-day20-day30-day

Ordered by season — windows opening soon first, plus a couple of recently completed high-performers. Holding-period colors help you compare durations at a glance.

StatusSeasonal windowHoldAvg returnWin rateThis year
Completedended 3d agoJun 24 – Jul 2430d+2.78%90%+2.47%
Completedended 4d agoJun 23 – Jul 2330d+2.75%80%+3.49%
Upcomingin 12dAug 8 – Sep 730d+3.08%80%
Upcomingin 13dAug 9 – Sep 830d+3.36%80%
Upcomingin 14dAug 10 – Sep 930d+3.76%80%
Upcomingin 15dAug 11 – Sep 1030d+2.88%80%
Upcomingin 17dAug 13 – Sep 220d+2.01%80%

Win rate = how often the pattern repeated in the same direction. Average return = the mean move across all analysed years. Past performance does not guarantee future results.

Explore IT seasonality in full

See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.

IT seasonality FAQ

What has historically been the best month to buy IT stock?

Based on the last 10 years of price data, IT's strongest seasonal window starts in June: Jun 27 to Jul 27, which ended higher in 9 of 10 years (90% win rate) with an average return of +4.34%. Past seasonal patterns do not guarantee future performance.

What is IT's strongest seasonal pattern?

IT's highest-win-rate pattern in our data is the Jun 27 – Jul 27 window (30-day hold): up in 9 of the last 10 years with an average move of +4.34%.

When has IT historically performed worst?

IT's weakest recurring window has been Sep 20 to Oct 10, declining in 9 of 10 years with an average return of -2.06%.

How reliable are IT's seasonal patterns?

Each IT pattern is scored by its historical win rate — the share of the last 10 years it repeated in the same direction. IT currently shows 695 recurring windows (457 bullish, 238 bearish). Seasonality describes historical tendencies only; it is not a prediction, and past performance does not guarantee future results.

What is IT stock seasonality?

Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing Gartner's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where IT has repeatedly risen (bullish) or fallen (bearish). Each pattern is scored by its win rate and average return so you can judge how reliable and how strong it has been.

Seasonality is one input among many — it works best alongside your own research and risk management. Learn more in our guide to seasonal analysis and the tutorials.

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