China's Daqo New Energy Q4 revenue misses

Reuters
Feb 26
China's Daqo New Energy Q4 revenue misses

Overview

  • China polysilicon maker's Q4 revenue missed analyst expectations

  • Adjusted net income for Q4 beat analyst expectations

  • Company's adjusted EBITDA for Q4 beat analyst expectations

Outlook

  • Company expects Q1 2026 polysilicon production of 35,000 MT to 40,000 MT

  • Daqo New Energy forecasts full-year 2026 polysilicon production at 140,000 MT to 170,000 MT

  • Company sees anti-involution initiatives supporting balanced supply and demand in solar PV industry

Result Drivers

  • PRODUCTION VOLUME INCREASE - Polysilicon production volume rose to 42,181 MT in Q4 2025, up from 30,650 MT in Q3 2025, aiding cost reduction

  • COST REDUCTION - Daqo reduced production costs through process improvements and efficiency gains, lowering total production costs by 9%

  • STRATEGIC SALES EFFORTS - Co ramped up sales efforts in H2 2025 to capitalize on favorable pricing dynamics, enhancing customer confidence

Company press release: ID:nPn1z9nyra

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Miss

$221.70 mln

$273.70 mln (4 Analysts)

Q4 Adjusted Net Income

Beat

-$7.30 mln

-$23.57 mln (3 Analysts)

Q4 Net Income

-$7.30 mln

Q4 Adjusted EBITDA

Beat

$52.50 mln

$46.15 mln (2 Analysts)

Q4 Adjusted EBITDA Margin

23.70%

Q4 Gross Profit

$15.40 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 8 "strong buy" or "buy", 2 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the renewable energy equipment & services peer group is "buy"

  • Wall Street's median 12-month price target for Daqo New Energy Corp is $35.00, about 39.4% above its February 25 closing price of $25.10

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