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HON Earnings Reaction: The Industrials Tape Read-Through

Chart Library · · 4 min read

Dated article. This writing is retained with its original publication date. Product details, third-party prices, and technical guidance may have changed. Chart Library is now free; consult the current API documentation and methodology. This article is not a study verdict.

The Industrial Conglomerate Reaction Profile

Honeywell's earnings reactions are characteristically muted compared to cyclicals. Across the last 20 HON earnings prints, the median earnings-day |move| is approximately 2.8% — low by any benchmark. The reason: HON's multi-segment reporting spreads positive and negative surprises across aerospace, performance materials, building solutions, and safety products, so one bad segment rarely moves the aggregate enough to produce a large print.

What DOES move HON meaningfully is forward guidance on aerospace organic growth and the inventory-level commentary on building solutions. Those two pieces of commentary have driven most of the ±4%+ reactions historically.

Post-Earnings Base Rates

The 5-day follow-through split on the last 20 HON earnings: 13 of 20 held, 7 of 20 faded. That's a 65% hold rate, higher than the S&P average for earnings prints, consistent with HON's reputation as a low-beta, guidance-driven name. The 10-day follow-through split tightened to 11 of 20 held, 9 of 20 faded — mean reversion over 2 weeks.

  • Median 5-day post-earnings return when earnings-day was positive: +1.2% (n=11)
  • Median 5-day post-earnings return when earnings-day was negative: -0.8% (n=9)
  • Outlier moves (|10-day return| > 8%) occurred only 2 of 20 times, both tied to aerospace segment restructuring announcements.

Read-Through to Industrials ETF

HON reactions have a measurable but smaller read-through to XLI than AXP has to XLY. The correlation of HON's +5-day post-earnings return with XLI's +5-day return is approximately +0.32 (n=20). That's meaningful but not dominant — MMM, GE, and CAT earnings each contribute similar signal, and the aggregate XLI move is a weighted sum rather than a single-name follow.

For agents building an industrial-sector view, the useful pattern is to treat HON as one input of four rather than as the single-name signal. Chart Library's sector-heatmap and analog retrieval work at the individual-name level so the weighting is explicit.

Search HON on chartlibrary.io to see today's reaction-pattern analog set and the 10-day follow-through distribution.

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