Every time the S&P 500 and its sector funds broke out to a fresh 52‑week high since the 1990s, what came next compared with any other day. Plus how many S&P 500 stocks sit at a 52‑week high as of Oct 29, 2026.
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Historically, a fresh 52‑week high was followed by gains about as often as any other day, slightly more often, but not by a bigger median gain over 12 months. In the 24 times since 1994 that the S&P 500 (through the SPY fund, dividend‑adjusted) closed at its first 52‑week high after at least three months without one, the index was higher 12 months later 22 times (91.7%), with a median gain of 14.8%. Across all trading days in the same period, it was higher a year later 81.3% of the time, with a median gain of 14.9%. That is Exent’s count on daily closes to Oct 29, 2026.
The fund series are used on purpose. A study of today’s index members would only include companies that survived and grew, which flatters any “what happened next” table. Index and sector funds hold whatever was in the index at the time, so their history includes the losers. For what a 52‑week high is and how to read the range, see 52‑week high and low.
| S&P 500 (SPY), Apr 1994 – Oct 29, 2026 | After a fresh 52‑week high (24) | Any trading day |
|---|---|---|
| Median return, 1 month later | +2.4% | +1.5% |
| Median return, 3 months later | +5.1% | +3.9% |
| Median return, 6 months later | +8.0% | +7.3% |
| Median return, 12 months later | +14.8% | +14.9% |
| Higher 1 month later | 83.3% | 66.0% |
| Higher 3 months later | 79.2% | 71.9% |
| Higher 6 months later | 91.7% | 76.3% |
| Higher 12 months later | 91.7% | 81.3% |
| Fell 10%+ at some point in the next 12 months | 12.5% | 32.5% |
Twenty‑four events is a small sample, and the 12‑month windows of nearby events overlap, so the gap in hit rates is a description of the past, not a reliable edge. The same question for record closes since 1955 is in should I invest at an all‑time high, with the same conclusion: a high was about as good a starting point as any other day.
Only partly. Pooled across the 11 S&P 500 sector ETFs, 210 fresh 52‑week highs were followed by a median 12‑month gain of 11.0%, the same as on any day (11.0%), and 79.0% were higher a year later versus 75.4%. Within that, technology, industrials and utilities had a higher median after a fresh high than on an average day, while energy, health care, materials, consumer discretionary, financials and staples had a lower one.
| Fund, 12 months later | Fresh highs | Median after high | Median, any day | Higher after high | Higher, any day |
|---|---|---|---|---|---|
| S&P 500 (SPY) | 24 | +14.8% | +14.9% | 91.7% | 81.3% |
| Nasdaq‑100 (QQQ) | 21 | +15.6% | +16.7% | 94.7% (of 19) | 80.6% |
| Dow Jones Industrial Average (DIA) | 20 | +14.6% | +10.5% | 84.2% (of 19) | 79.0% |
| Russell 2000 (IWM) | 22 | +12.8% | +11.3% | 77.3% | 72.1% |
| Technology (XLK) | 22 | +20.9% | +14.7% | 95.0% (of 20) | 78.1% |
| Industrials (XLI) | 20 | +14.6% | +12.8% | 84.2% (of 19) | 77.0% |
| Utilities (XLU) | 21 | +12.7% | +11.6% | 85.0% (of 20) | 78.8% |
| Consumer staples (XLP) | 26 | +7.3% | +8.8% | 87.5% (of 24) | 83.4% |
| Financials (XLF) | 19 | +7.3% | +9.3% | 72.2% (of 18) | 67.5% |
| Consumer discretionary (XLY) | 24 | +10.9% | +13.4% | 75.0% | 79.3% |
| Materials (XLB) | 22 | +8.5% | +11.8% | 75.0% (of 20) | 73.8% |
| Health care (XLV) | 20 | +4.5% | +8.8% | 66.7% (of 18) | 77.4% |
| Energy (XLE) | 24 | +5.2% | +10.7% | 59.1% (of 22) | 65.9% |
| Real estate (XLRE), since 2017 | 7 | +12.3% | +5.3% | 100% (of 6) | 66.9% |
| Communication services (XLC), since 2019 | 5 | +31.3% | +23.6% | 100% (of 4) | 77.1% |
Sector funds start in March 2000 (first possible event; data from Dec 1998), QQQ in June 2000, IWM in August 2001 and DIA in April 1999. “Of N” marks events too recent to have 12 months of follow‑up. With about 20 events per fund, one bad year moves a row a lot; read the table as “no consistent pattern”, not as a ranking.
For the S&P 500, rarely within a year, but the exceptions are worth knowing. Two of the 24 fresh highs were lower 12 months later: November 1999 (−0.5%), just before the dot‑com top, and April 2019 (−0.2%), whose following year ran into the Covid crash. Three were followed by a fall of 10% or more within a year: August 2018 (the late‑2018 sell‑off, lowest close −16.8% from the high), April 2019 (−21.6%) and October 2019 (−25.3%, Covid).
| SPY fresh highs, by period | Events | Median 12 months later | Higher 12 months later |
|---|---|---|---|
| 1994–1999 | 5 | +21.1% | 80.0% |
| 2000–2009 | 6 | +11.1% | 100.0% |
| 2010–2019 | 9 | +14.7% | 88.9% |
| 2020–2026 | 4 | +29.6% | 100.0% |
The rule also explains a gap: from 2000 to mid‑2003 and through 2007 there was no qualifying event, because the index either had no 52‑week high or kept making them without a three‑month pause. The most recent one was Jun 26, 2025, after the spring 2025 tariff sell‑off; the index was up 22.5% a year later. Big long‑term winners also went through deep falls on the way; see how much the big winners fell along the way.
As of the Oct 29, 2026 close, 33 of the 500 S&P 500 members with a full year of history (6.6%) closed at a 52‑week high, and 80 (16.0%) were within 2% of one. The index fund itself was 1.25% below its 52‑week high. At the same time, 144 members (28.8%) were 20% or more below theirs, and the median member was 11.6% below. The wider picture of stocks far from their highs is in how many S&P 500 stocks are in a bear market.
| Sector, Oct 29, 2026 close | Members | At a 52‑week high | Within 2% of it |
|---|---|---|---|
| Healthcare | 59 | 14 | 23 |
| Industrials | 72 | 5 | 11 |
| Technology | 89 | 4 | 6 |
| Consumer Defensive | 32 | 3 | 4 |
| Financial Services | 71 | 2 | 11 |
| Consumer Cyclical | 51 | 2 | 7 |
| Energy | 22 | 1 | 9 |
| Basic Materials | 22 | 1 | 4 |
| Real Estate | 29 | 1 | 2 |
| Utilities | 31 | 0 | 3 |
| Communication Services | 16 | 0 | 0 |
| No sector label | 6 | 0 | 0 |
| Total | 500 | 33 | 80 |
The 10 largest members by market value that closed at a 52‑week high on Oct 29, 2026:
| Company | Sector |
|---|---|
| Apple | Technology |
| Eli Lilly | Healthcare |
| Mastercard | Financial Services |
| AbbVie | Healthcare |
| Philip Morris International | Consumer Defensive |
| Thermo Fisher Scientific | Healthcare |
| Amgen | Healthcare |
| Gilead Sciences | Healthcare |
| Altria | Consumer Defensive |
| Emerson Electric | Industrials |
These are price facts, not a view on any of the stocks. None of the ten was a “fresh” high under this page’s rule; all had made another 52‑week high within the previous three months. Health care and consumer staples names made up 7 of the 10. For another breadth gauge, see the percentage of S&P 500 stocks above their 200‑day moving average.
Usually only a few percent. Counting today’s members, a median of 4.9% were at a 52‑week high on a trading day since 2001, and 4.4% at a month‑end. Oct 29, 2026’s 6.6% was above 60.3% of those days. On 5.5% of days, none of them was at a 52‑week high.
| Share of today’s members at a 52‑week high | Value |
|---|---|
| Median trading day, 2001 – Oct 2026 | 4.9% |
| Median month‑end, Jan 2001 – Sep 2026 | 4.4% |
| Top 10% of trading days | 15.8% or more |
| Highest month‑ends | Nov 2014 30.5%, Mar 2013 29.4%, Aug 2024 28.3% |
| Month‑ends with none at a 52‑week high | 15 of 309, incl. Oct 2008, Mar 2020, Sep 2022, Dec 2025 |
| Last 12 month‑ends (Oct 2025 – Sep 2026) | from 0.0% (Dec 2025) to 13.8% (Feb 2026) |
| Oct 29, 2026 close | 6.6% (33 of 500) |
The history uses today’s list, so it leans toward companies that went on to do well; the true share at highs in past years was likely somewhat lower. The figure also swings day to day: a single down day after a run can take it to near zero, as on Dec 31, 2025.
The history does not say a 52‑week high is a bad time to buy, and it does not say it is a good one. For the broad index and most sector funds, what came next looked a lot like any other day. For a single stock the range of outcomes is far wider, and this page gives no advice either way. Points investors often weigh (education, not advice):
Buying strength is the idea behind momentum investing; buying what is cheap is value investing. In a backtest of two ETFs from July 2016 to September 2026, a momentum fund (MTUM) grew 16.2% a year with a 30.2% maximum drawdown, and an S&P 500 value fund (IVE) 11.5% a year with a 25.3% drawdown, against 15.3% and 23.9% for the S&P 500. The results for each factor are on momentum and value. How rare big long‑term winners are is in how often a stock goes up 10x, and the other side of the coin, buying after a crash, is in do stocks recover after falling 50%.
Event study (survivorship‑free). Dividend‑adjusted daily closes for SPY (from Jan 29, 1993), QQQ, IWM, DIA and the 11 Select Sector SPDR ETFs, to Oct 29, 2026. A 52‑week high close is a close at or above every close of the prior 252 trading days. An event is the first such close after at least 63 trading days (about three months) without one. Forward returns are measured 21, 63, 126 and 252 trading days later (about 1, 3, 6 and 12 months), on each fund’s own closes. The comparison is every trading day of the same fund over the same period. “Fell 10%+” means the lowest close in the next 252 trading days was at least 10% below the event close. Events too recent for a horizon are left out of that horizon.
Breadth (today’s members). The current S&P 500 list as of Oct 20, 2026; 500 of the 503 members had a full year of history on Oct 29, 2026. “Within 2%” means a close no more than 2% below the highest close of the past 252 trading days. The share history uses the same list on each trading day and month‑end since January 2001, counting days with at least 300 members with history. Sectors are Exent’s sector labels. No forward returns are calculated for individual members, because a list of today’s survivors would overstate them.
Closing highs differ slightly from the intraday highs on most quote pages. All figures describe the past and are not a forecast.
Which stocks the most accurate analysts back now, at highs or not, is in Gems: $1.95 for a 3-day trial.
History does not show it to be a bad time. After the S&P 500’s 24 fresh 52-week highs since 1994 it was higher a year later 91.7% of the time, versus 81.3% for any day, with a similar median gain. Single stocks vary far more, and this is not advice for any one of them.
Usually a few percent. Among today’s S&P 500 members, a median of 4.9% were at a 52-week high on a trading day since 2001. On Oct 29, 2026, 33 of 500 (6.6%) were, and 80 (16.0%) were within 2% of one.
Neither won every period. From July 2016 to September 2026, a momentum ETF (MTUM) returned 16.2% a year with a 30.2% maximum drawdown and an S&P 500 value ETF (IVE) 11.5% a year with a 25.3% drawdown, in a backtest; the S&P 500 returned 15.3%. Past results are not a forecast.
No. A 52-week high only describes the price over the past year. Whether a stock is expensive depends on its earnings, growth and valuation, which the high alone does not show.
Since 1994, 2 of the 24 fresh 52-week highs in the S&P 500 (SPY) were lower 12 months later, and 3 were followed by a drop of 10% or more within the year (2018 and twice in 2019). Across all days, 32.5% saw such a drop within a year.
Between 2000 and Oct 2026, fresh highs in the technology sector fund were followed by a median 20.9% gain a year later, above its any-day median of 14.7%. Energy, materials and health care did worse after a fresh high than on an average day. Samples are small, about 20 events per sector.
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Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.