CORRECTED-Smoking accessories maker Turning Point beats Q3 sales estimates, raises FY forecast

Reuters
2025/11/05
CORRECTED-Smoking accessories maker <a href="https://laohu8.com/S/TPTX">Turning Point</a> beats Q3 sales estimates, raises FY forecast

Corrects adjusted EPS to $1.05 from $1.27 in Key Details table

Overview

  • Turning Point Q3 net sales rise 31.2% yr/yr, beating analyst expectations

  • Adjusted EPS for Q3 beats consensus, reflecting robust performance

  • Company raises full-year 2025 Adjusted EBITDA and Modern Oral sales guidance

Outlook

  • Turning Point raises 2025 Adjusted EBITDA guidance to $115.0 – 120.0 mln

  • Company increases full-year Modern Oral sales guidance to $125.0 – 130.0 mln

Result Drivers

  • MODERN ORAL GROWTH - Modern Oral sales surged 628% yr/yr to $36.7 mln, now 30.8% of total sales

  • STOKER'S SEGMENT - Stoker's segment net sales rose 80.8% yr/yr, driven by Modern Oral and MST growth

  • ZIG-ZAG DECLINE - Zig-Zag segment net sales fell 10.5% yr/yr, but excluding Clipper, rose mid-single-digits sequentially

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Beat

$118.97 mln

$111.40 mln (5 Analysts)

Q3 Adjusted EPS

Beat

$1.05

$0.87 (3 Analysts)

Q3 Net Income

$23.75 mln

Q3 Gross Profit

$70.42 mln

Q3 Operating income

$25.88 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", 1 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the tobacco peer group is "buy"

  • Wall Street's median 12-month price target for Turning Point Brands Inc is $109.00, about 12.7% above its November 4 closing price of $95.18

  • The stock recently traded at 25 times the next 12-month earnings vs. a P/E of 22 three months ago

Press Release: ID:nBwbxnjPVa

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.

(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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