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  4. Upland Software, Inc. (UPLD) Q4 2025 Earnings Call Transcript

Upland Software, Inc. (UPLD) Q4 2025 Earnings Call Transcript

UPLD logo
UPLD
Upland Software Inc
5.33 USD
+8.78%

Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

Overview

Despite positive elements like increased EBITDA margins and free cash flow exceeding targets, the overall sentiment is negative due to significant revenue declines from divestitures, modest core organic growth, and high debt levels. The Q&A session highlighted concerns about sales execution and unclear management responses, which further dampen sentiment. The decline in revenue guidance and flat growth outlook overshadow the financial improvements, leading to a negative prediction for stock movement.

Key Financial Performance

Q4 2025 Core Organic Growth Rate Flat year-over-year due to a tough comparison with Q4 2024, which included additional usage volume revenue.

Annual Net Dollar Retention Rate 96%, consistent with the prior year.

Q4 2025 Adjusted EBITDA $15.3 million, resulting in an adjusted EBITDA margin of 31%, up from 22% in Q4 2024. The increase is attributed to higher margins realized on ongoing product lines.

Free Cash Flow for Q4 2025 $7.2 million, stronger than expected due to successful collection efforts. Full year 2025 free cash flow was $24.4 million, exceeding the $20 million target.

New Customers in Q4 2025 110 new customers, including 15 major customers. Additionally, relationships with 199 existing customers were expanded, 27 of which were major expansions.

Q4 2025 GAAP Operating Cash Flow $7.3 million.

Net Debt at Year-End 2025 Approximately $209 million, with $29 million in cash on the balance sheet. Net debt leverage was 3.6x trailing adjusted EBITDA, better than the target.

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Operating Highlights

AI-powered product portfolio: Welcomed 110 new customers in Q4, including 15 major ones. Expanded relationships with 199 existing customers, 27 of which were major expansions. Recognized in G2's Winter 2026 market reports with 49 badges, highlighting consistent value and customer satisfaction.

AI-powered knowledge management solution: Recognized as a major player in IDC MarketScape worldwide general-purpose knowledge discovery software 2025 vendor assessment. Driving scalable, smarter support for enterprise contact centers and help desks.

AI-powered RFP response software: Included in Gartner Market Guide for RFP response management applications, showcasing its impact on proactive sales proposal creation.

Core organic growth rate: Improved from -2% three years ago to 1% in 2025, targeting 1%-2% in 2026. Annual net dollar retention rate was 96% in 2025.

Customer acquisition and expansion: 110 new customers in Q4, including 15 major ones. Expanded relationships with 199 existing customers, 27 of which were major expansions.

Adjusted EBITDA margin: Expanded from 22% in Q4 2024 to 31% in Q4 2025. Full-year 2026 adjusted EBITDA margin expected to increase to 28% from 27% in 2025.

Free cash flow: Q4 2025 free cash flow was $7.2 million, exceeding the $20 million target for the year with a total of $24.4 million.

Leadership transition: Sean Daniel announced as the new CEO, transitioning from Jack McDonald. Sean brings expertise in AI initiatives and aims to sharpen execution to deliver measurable customer and shareholder value.

Focus on AI and knowledge management: Strategic emphasis on converting knowledge, content, and data into operational intelligence to support AI-driven models.

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Risk or Challenges

Core Organic Growth Rate: The core organic growth rate was flat in Q4 2025 due to tough comparisons with Q4 2024, which included lumpy additional usage volume revenue. While there is a generally improving trend, the growth rate remains modest, targeting only 1% to 2% for 2026.

Revenue Decline: The company expects a decline in total revenue of 24% for Q1 2026 and 8% for the full year 2026, primarily due to divestitures completed in Q1 and Q2 of 2025.

Debt Levels: The company has outstanding net debt of approximately $209 million, with a net debt leverage of 3.6x trailing adjusted EBITDA, which could pose financial risks.

Divestitures Impact: The divestitures completed in Q1 and Q2 of 2025 are causing significant year-over-year revenue declines, impacting financial performance.

Free Cash Flow: While free cash flow exceeded the 2025 target, the 2026 target is lower, partly due to early receivables collections in 2025, which could affect cash flow stability.

Market Competition and AI Execution: The company is focusing on AI-powered solutions, but execution risks remain in translating these capabilities into measurable customer and shareholder value.

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Guidance & Outlook

Revenue Guidance for Q1 2026: Expected total revenue between $47 million and $50 million, including subscription and support revenue between $44.8 million and $47.3 million. This represents a 24% decline at the midpoint compared to Q1 2025, primarily due to divestitures in Q1 and Q2 of 2025.

Adjusted EBITDA Guidance for Q1 2026: Expected adjusted EBITDA between $11.9 million and $13.4 million, representing a 3% decline at the midpoint compared to Q1 2025. Adjusted EBITDA margin is expected to be 26% at the midpoint, a 500 basis point increase from the 21% margin in Q1 2025.

Full Year 2026 Revenue Guidance: Expected total revenue between $194.2 million and $206.2 million, including subscription and support revenue between $183.6 million and $193.7 million. This represents an 8% decline at the midpoint compared to 2025, primarily due to divestitures in Q1 and Q2 of 2025.

Full Year 2026 Adjusted EBITDA Guidance: Expected adjusted EBITDA between $52.6 million and $58.6 million, representing a 4% decline at the midpoint compared to 2025. Adjusted EBITDA margin is expected to be 28% at the midpoint, a 100 basis point increase from the 27% margin in 2025.

Core Organic Growth Rate: Targeting a positive growth rate of 1% to 2% for 2026, continuing the multiyear uptrend from negative 2% three years ago to positive 1% in 2025.

Free Cash Flow Guidance for 2026: Targeting approximately $20 million in free cash flow for 2026, noting that 2025 free cash flow exceeded the target by $4 million due to early receivables collections.

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Shareholder Return Plan

The selected topic was not discussed during the call.

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Key Q&A

Q:How would you characterize sales execution in the quarter, and what does the pipeline look like going into 2016?
A:John McDonald stated that Q3 had stronger performance in winning major deals, but bookings performance was disappointing. The pipeline for the year looks decent, particularly in core knowledge management growth products, but execution is needed. Q4 numbers could have been better.
Q:Why is there a step-down in EBITDA margins from the last couple of quarters?
A:Michael Hill explained that EBITDA margins typically start lower at the beginning of the year due to calendar-based payroll taxes and ramp up through the year. This pattern is consistent with previous years.
Q:Why step down from leadership now, and what drove the change in leadership?
A:John McDonald explained that the business focus has shifted from growth through acquisitions to operations and advancing AI-enabled product portfolios. Sean, being product-centric and AI-focused, is seen as the right person to lead the business.
Q:What is the status of the go-to-market strategy changes and readiness for growth?
A:John McDonald mentioned that the first phase of streamlining the business, including asset sales and debt refinancing, has been completed. The business is on firmer footing, and there is optimism about AI's impact on enterprise SaaS. Execution is still needed to drive growth.
Q:What is the revenue mix in terms of core capabilities?
A:Michael Hill stated that roughly 2/3 to 3/4 of revenue comes from growth products, most of which are AI-enabled. The majority of products are in the knowledge and content management market, leveraging AI as a tailwind.
Q:What SaaS models are defensible against AI, and which might be consumed by AI?
A:John McDonald believes systems of record have the strongest moat and can be key parts of enterprise AI implementations. Products forming an enabling layer of infrastructure, like Upland RightAnswers, are defensible. He highlighted major deals with hospitality companies and partnerships with hyperscalers as examples of defensible models.
Q:Review of Unclear Management Responses
A:Management avoided providing direct answers or lacked clarity on the following: 1) Comparable metrics for continuing operations when discussing sales execution. 2) Specific details on the readiness of the go-to-market strategy changes for 2026. 3) Clear differentiation of SaaS models that are defensible versus those that are not in the context of AI.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI enterprise
AI importance
AI strategy
CEO President
CTO role
Chairman news
Founder CEO
Guide RFP
IDC MarketScape
MarketScape purpose
Outland Software
President Chairman
QA statement
RFP response
SEC duty
Sean Upland
Sean call
Sean experience
Sean familiarity
Sean priority
Sean vision
Sean year
Software vendor
Upland CEO
capability
collection
decline divestiture
decline margin
knowledge content
midpoint basis
midpoint decline
model
point increase
trend
value
vision Sean

UPLD Transcript

Upland Software, Inc. (UPLD) Q4 2025 Earnings Call Transcript
Unknown3-3

Despite positive elements like increased EBITDA margins and free cash flow exceeding targets, the overall sentiment is negative due to significant revenue declines from divestitures, modest core organic growth, and high debt levels. The Q&A session highlighted concerns about sales execution and unclear management responses, which further dampen sentiment. The decline in revenue guidance and flat growth outlook overshadow the financial improvements, leading to a negative prediction for stock movement.

Upland Software, Inc. (UPLD) Q3 2025 Earnings Call Transcript
Unknown11-7

The earnings call showed mixed signals. While adjusted EBITDA and margins improved, revenue guidance was lowered, and perpetual license revenue declined. Positive partnerships and AI integration offer growth potential, but financial risks remain due to high debt levels. The Q&A revealed confidence in growth from large deals and partnerships but lacked clarity on revenue retention trends. The overall sentiment is neutral, balancing strong financial metrics with uncertainties in revenue and competition.

Upland Software, Inc. (UPLD) Q2 2025 Earnings Call Transcript
Unknown8-1

The earnings call presents mixed signals. Positive aspects include increased EBITDA margins, AI-driven growth opportunities, and debt reduction. However, there are concerns over divestitures impacting revenue guidance and professional services challenges. The Q&A reveals optimism about AI and demand but lacks clarity on M&A plans. Overall, the sentiment is balanced, leading to a neutral prediction.

Upland Software, Inc. (NASDAQ:UPLD) Q1 2025 Earnings Call Transcript
Unknown5-13

The earnings call presents mixed signals. Financial performance shows improvement in EPS and EBITDA margins, but revenue guidance indicates a decline. The Q&A reveals management's optimistic outlook on growth and margins, but lacks specificity, leading to uncertainty. Debt reduction efforts are positive, yet net debt remains high, posing risks. Overall, the sentiment is balanced with positive financial metrics countered by revenue challenges and vague growth strategies. Without market cap data, a neutral prediction is prudent.

UPLD Report

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2024-02-22

Frequently Asked Questions

Where does this earnings call transcript come from?

All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.

How soon is the transcript available after the earnings call ends?

Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.

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No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.

Why do some answers appear as “Unclear” or “Inaudible”?

When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.

Who creates the AI Summary and Key Q&A highlights shown above the transcript?

They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.

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