---
title: "Allegro MicroSystems Q3 revenue beats estimates, rises 29%"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/274146987.md"
datetime: "2026-01-29T12:09:29.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/274146987.md)
  - [en](https://longbridge.com/en/news/274146987.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/274146987.md)
---

# Allegro MicroSystems Q3 revenue beats estimates, rises 29%

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Overview

-   Semiconductor firm’s Q3 revenue rose, beating analyst expectations
-   Non-GAAP EPS for Q3 more than doubled yr/yr to $0.15
-   Automotive sales grew 28% yr/yr, with e-Mobility up 46%

Outlook

-   Company expects Q4 net sales between $230 mln and $240 mln
-   Allegro anticipates Q4 non-GAAP EPS between $0.14 and $0.18
-   Company projects Q4 non-GAAP gross margin between 49% and 51%

Result Drivers

-   AUTOMOTIVE SALES - Automotive sales grew 28% yr/yr, with e-Mobility up 46%, driving strong Q3 performance
-   INDUSTRIAL GROWTH - Industrial sales increased 31% yr/yr, led by record performance in Data Center
-   INCREASED BOOKINGS - Co reported growing bookings and backlog, with significant annual increase in design wins

Key Details

Metric Beat/Mis Actual Consensu

s s

Estimate

Q3 Sales Beat $229.21 $220.73

mln mln (11

Analysts

)

### Q3 EPS $0.04

Q3 Gross 46.70%

Margin

### Q3 4.20%

Operatin

g Margin

Analyst Coverage

-   The current average analyst rating on the shares is “buy” and the breakdown of recommendations is 11 “strong buy” or “buy”, 1 “hold” and no “sell” or “strong sell”
-   The average consensus recommendation for the semiconductors peer group is “buy”
-   Wall Street’s median 12-month price target for Allegro Microsystems Inc is $38.00, about 10% above its January 28 closing price of $34.55
-   The stock recently traded at 39 times the next 12-month earnings vs. a P/E of 39 three months ago

Press Release: For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact . (This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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