Policy analytics firm FiscalNote's Q3 adjusted EBITDA exceeds expectations

Reuters

2025/11/07

Policy analytics firm FiscalNote's Q3 adjusted EBITDA exceeds expectations

Overview

FiscalNote Q3 2025 revenue meets company's guidance at $22.4 mln
Adjusted EBITDA for Q3 2025 exceeds guidance
ARR grows sequentially, reflecting core business stabilization

Outlook

FiscalNote narrows 2025 revenue forecast to $95-$96 mln, adjusted EBITDA to $10 mln
Company expects Q4 2025 revenue of $22-$23 mln, adjusted EBITDA of ~$2 mln
FiscalNote cites market volatility and federal sector challenges affecting outlook

Result Drivers

CORE BUSINESS STABILIZATION - Sequential ARR growth driven by improved performance with corporate clients and PolicyNote platform success
POLICYNOTE PLATFORM - Strong user engagement and platform migration contributed to results

Key Details

Metric	Beat/Miss	Actual	Consensus Estimate
Q3 Revenue		$22.40 mln
Q3 Net Income		-$24.90 mln
Q3 Adjusted EBITDA	Beat	$2.20 mln	$2.10 mln (3 Analysts)

Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"
The average consensus recommendation for the software peer group is "buy"
Wall Street's median 12-month price target for FiscalNote Holdings Inc is $27.00, about 87.7% above its November 5 closing price of $3.31

Press Release: ID:nBw6gwffSa

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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For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.</p><p>(This story was created using Reuters automation and AI based on LSEG and company data. 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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.)","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"dataReport","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":true,"code":"91000000","status":"200"}}}