PHLX SOX · Intrayear DD vs Full Year — Semiconductor Maximum Intra-Year Drawdown vs. Full-Year Return
Semiconductor Intrayear Drawdowns — Deepest intrayear pullbacks versus year-end performances: capturing the high-beta nature of hardware cycles.
The plate
Latest Snapshot
- Data file updated
- 2026-11-13
- Observations
- 33
- Average
- -28.9%
- Avg total return
- +20.7%
Each year's deepest intra-year fall for the PHLX Semiconductor Index, from a high set earlier in the year to the low, beside where that year closed. Even strongly positive years carry double-digit pullbacks; the readings above give the average and the S&P 500 comparison.
What this page answers
Across 33 years, the average intrayear drawdown for the Philadelphia Semiconductor Index (SOX) was -28.9% — yet the mean full-year total return remained firmly positive at +20.7%. In 21 of those years, the index suffered a double-digit intra-year drop and still finished higher: in equity markets, turbulence is the price of admission, not an anomaly.
Each year's deepest intra-year fall for the PHLX Semiconductor Index, from a high set earlier in the year to the low, beside where that year closed. Even strongly positive years carry double-digit pullbacks; the readings above give the average and the S&P 500 comparison. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.
Philadelphia Semiconductor Index (SOX) — maximum intrayear drawdowns vs full-year net returns
| Year | Deepest intrayear drawdown | Full-year return |
|---|---|---|
| 2026 | -38.4% | +48.3% |
| 2025 | -34.9% | +42.2% |
| 2024 | -25.0% | +19.3% |
| 2023 | -17.5% | +64.9% |
| 2022 | -46.3% | -35.8% |
| 2021 | -14.7% | +41.2% |
| 2020 | -35.0% | +51.1% |
| 2019 | -18.4% | +60.1% |
| 2018 | -26.0% | -7.8% |
| 2017 | -10.3% | +38.2% |
| 2016 | -14.8% | +36.6% |
| 2015 | -25.0% | -3.4% |
| 2014 | -16.4% | +28.4% |
| 2013 | -8.2% | +39.3% |
| 2012 | -20.5% | +5.4% |
| 2011 | -31.0% | -11.5% |
| 2010 | -23.3% | +14.4% |
| 2009 | -19.4% | +69.6% |
| 2008 | -59.4% | -48.0% |
| 2007 | -26.4% | -12.6% |
| 2006 | -30.1% | -2.6% |
| 2005 | -14.4% | +10.7% |
| 2004 | -37.2% | -14.7% |
| 2003 | -23.1% | +75.7% |
| 2002 | -66.4% | -44.6% |
| 2001 | -51.6% | -9.4% |
| 2000 | -59.8% | -18.2% |
| 1999 | -17.4% | +101.0% |
| 1998 | -42.4% | +33.0% |
| 1997 | -38.5% | +9.7% |
| 1996 | -33.4% | +19.8% |
| 1995 | -35.9% | +43.2% |
| 1994 | -13.7% | +17.7% |
Complete record (33 rows). Raw dataset: https://historyofmarket.com/api/semi/intrayear-dd.json
Data & Source
GET /api/semi/intrayear-dd.json — Canonical dataset endpoint.
Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.
FAQ
Where does this data come from?
History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). The exact endpoint for this panel is linked below.
How often is it updated?
Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh each weekend. The timestamp shown on this page comes from the JSON payload.
Can I use the data?
Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.