Nikkei slumped 2.6%

Strota Newsroom · Global Markets · session of 2026-09-02 · market close

Nikkei 225 closed at 64,602.54 on 2026-09-02, slumped 2.6% on the session and is +28.3% year-to-date. Here is what the market data shows.

Japan's Nikkei 225 closed at 64602.54 on September 2, down 2.58% for the session, leading a soft day across Asian equities as regional risk assets sold off.

The weakness was widespread in the region that day. South Korea's KOSPI fell 1.99% and Australia's ASX 200 dropped 1.47% on September 2, a coordinated pullback rather than a Japan-specific event. TradingKey, citing the open, described Japan and South Korea stocks dropping sharply as Samsung, SK Hynix and SoftBank came under pressure.

The Nikkei is still well above its longer-term trend even after the slide. At 64602.54 it sits 10.73% below its 52-week high of 72366.34 and 54.04% above its 52-week low of 41938.89. It remains above its 200-day average of 58684.59 but has dipped back below its 50-day average of 67054.03, a shift in short-term momentum. Year to date the index is up 28.33%.

Against the prior US session, the S&P 500 fell 0.71% and the Nasdaq dropped 1.03% on September 1, so the Asian selloff followed a softer Wall Street rather than preceding it. Over the past month the Nikkei has gained 4.42% but is down 1.41% on the week and 3.48% over three months.

The data does not establish a single confirmed driver beyond the regional risk-off move. The honest read is that the Nikkei gave back a slice of a strong year-to-date run as sentiment turned cautious across Asian markets, though the longer trend remains intact.

The move underscores how quickly regional sentiment can shift once a strong run meets a bout of risk aversion, even when the underlying trend remains intact.

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How this article was made: Strota assembled the market data above (the index's price history, same-session peer-market moves and public headlines) and an AI model wrote the narrative strictly from that evidence — it is not permitted to add outside facts or numbers. Every figure comes from the underlying market/public data.