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    HACKETT GROUP (HCKT)

    Q4 2024 Earnings Summary

    Reported on Apr 24, 2025 (After Market Close)
    Pre-Earnings Price$31.62Last close (Feb 18, 2025)
    Post-Earnings Price$32.38Open (Feb 19, 2025)
    Price Change
    $0.76(+2.40%)
    • Robust Gen AI Pipeline: Ted Fernandez highlighted a growing number of client meetings, budgeted 2025 initiatives, and a faster pipeline conversion into implementation contracts driven by their advanced Gen AI strategies, indicating accelerated revenue growth potential.
    • Strong SAP Demand: The Q&A noted that the company experienced its highest-ever software sale levels in SAP during Q4, and despite seasonal variations, they expect sustained, strong demand for SAP services throughout 2025.
    • Strategic Investments in Gen AI Capabilities: The acquisition of LeewayHertz and subsequent integration of AI XPLR with the ZBrain platform positions the company to offer differentiated, high-margin Gen AI solutions, promising recurring licensing revenues and long-term competitive advantage.
    • Headwinds from e-procurement and OneStream: Ted noted that these challenges were significant enough to dampen the GSBT segment's overall revenue growth, suggesting that these issues could continue to materially impact recurring revenue streams.
    • Lumpy SAP Revenue: The record-high Q4 SAP performance was largely driven by end-of-year software sales, which may not be sustainable into the next quarter, potentially leading to revenue volatility.
    • Uncertainty in Gen AI Pipeline Conversion: Although the company is actively pursuing Gen AI initiatives, there remains uncertainty on whether increased meeting and entry-point activities will effectively convert into profitable, long-term implementation contracts, posing execution risks for future growth.
    MetricYoY ChangeReason

    Total Revenue

    +9.5% (from $72.40M to $79.24M)

    Total revenue grew by approximately 9.5% YoY driven by strong performance across segments, notably a dramatic rise in SAP Solutions revenue and growing European market contributions, building on the prior period’s momentum.

    Global S&BT Revenue

    +3.8% (from $42.20M to $43.84M)

    The Global S&BT revenue increased modestly by about 3.8% YoY, reflecting incremental gains despite prior periods being challenged by offsetting slowdowns in certain implementation areas vs..

    SAP Solutions Revenue

    +54% (from $11.24M to $17.28M)

    SAP Solutions revenue surged by approximately 54% YoY thanks to strong software-related sales, enhanced value-added reseller transactions, and an expanded sales force that reversed the lower sales performance seen in previous periods vs..

    European Revenue

    +35% (from $7.52M to $10.18M)

    European revenue jumped by about 35% YoY, likely due to robust regional expansion and favorable market conditions that built upon previous gains, despite the mixed impact of currency fluctuations noted in earlier periods.

    Operating Income

    -32% (from $11,477K to $7,747K)

    Operating income declined by approximately 32% YoY despite revenue growth, largely because of increased cost pressures such as rising SG&A and personnel costs, which marked a contrast with the higher operating margins of the prior period.

    Net Income

    -54% (from $7,850K to $3,564K)

    Net income dropped by roughly 54% YoY, reflecting significant margin pressure driven by higher operating expenses—particularly SG&A—and lower profitability in contrast with the relatively stronger performance seen in the previous period.

    SG&A Expenses

    +41% (from $16,611K to $23,500K)

    SG&A expenses increased by around 41% YoY due to incremental investments in sales resources, higher commissions, and rising non-cash stock-based compensation, which contributed substantially to the cost pressures that affected overall profitability relative to the prior year.

    MetricPeriodPrevious GuidanceCurrent GuidanceChange

    Total Revenue Before Reimbursements

    Q4 2024

    $73.5 million to $75 million

    no current guidance

    no current guidance

    Adjusted Diluted Net Income Per Common Share

    Q4 2024

    $0.41 to $0.43

    no current guidance

    no current guidance

    Adjusted Gross Margin

    Q4 2024

    45% to 46%

    no current guidance

    no current guidance

    Adjusted SG&A and Interest Expense

    Q4 2024

    $17.2 million

    no current guidance

    no current guidance

    Adjusted EBITDA

    Q4 2024

    23% to 24%

    no current guidance

    no current guidance

    Cash Flow from Operations

    Q4 2024

    Expected to be up on a sequential basis

    no current guidance

    no current guidance

    Total Revenues Before Reimbursements

    Q1 2025

    no prior guidance

    $75 million to $76.5 million

    no prior guidance

    Global S&BT Segment Revenue Before Reimbursements

    Q1 2025

    no prior guidance

    Increase by 5% to 10% compared to prior year

    no prior guidance

    Oracle and SAP Solutions Segment Revenue Before Reimbursements

    Q1 2025

    no prior guidance

    Decline by 8% to 10% compared to prior year

    no prior guidance

    Adjusted Diluted Net Income Per Common Share

    Q1 2025

    no prior guidance

    $0.39 to $0.41

    no prior guidance

    Adjusted Gross Margin as a Percentage of Revenues Before Reimbursements

    Q1 2025

    no prior guidance

    43% to 44%

    no prior guidance

    Adjusted SG&A and Interest Expense

    Q1 2025

    no prior guidance

    $18.8 million

    no prior guidance

    Adjusted EBITDA as a Percentage of Revenues Before Reimbursements

    Q1 2025

    no prior guidance

    21% to 22%

    no prior guidance

    Cash Balances

    Q1 2025

    no prior guidance

    Expected to be tempered due to the payment of 2024 performance‐related bonuses

    no prior guidance

    TopicPrevious MentionsCurrent PeriodTrend

    Generative AI Transformation

    In Q1, the focus was on ramping up demand with the launch of the AI Explorer platform and increased Gen AI engagement ( ). Q2 discussions highlighted the enhanced simulation capabilities of AI XPLR Version 2 and acknowledged ongoing conversion risks ( ). Q3 detailed strong pipeline growth and improved conversion rates enabled by strategic investments and integration of LeewayHertz’s capabilities ( ).

    Q4 emphasized significantly increased client engagements, accelerated pipeline velocity, and upcoming platform enhancements (AI XPLR Version 3), while still noting conversion risks due to disruptions in traditional applications ( ).

    Consistent strategic reinforcement of Gen AI capabilities with evolving platform enhancements driving growth, albeit with persistent conversion risks.

    SAP Demand and Revenue Sustainability

    Q1 showcased strong SAP performance with record revenue increases tied to value‐added reseller activity ( ), while also cautioning future revenue sustainability. Q2 and Q3 reinforced this with stable growth driven by sales force expansion and consistent market performance ( ).

    Q4 reported exceptionally strong SAP demand for 2025 with record Q4 SAP revenues driven by robust software sales and sales force investments, despite anticipated seasonal moderation in Q1 2025 ( ).

    Overall positive momentum with strong demand, though revenue patterns remain lumpy due to seasonal factors.

    E-procurement Challenges

    Q1 mentioned extended client decision-making impacting e-procurement, while Q2 highlighted challenges—especially due to Coupa’s sales pullback—and Q3 noted flat revenue in the Global S&BT segment due to weak e-procurement implementation ( ).

    Q4 flagged e-procurement as a headwind that partially offset GSBT revenue growth due to meaningful disruptions noted in client practices ( ).

    A persistent challenge across periods with consistent headwinds affecting revenue performance.

    Client Engagement Strategy Evolution

    In Q1, client engagement was evolving indirectly through AI Explorer demos and increased C-level interactions ( ). Q2 elaborated on a shift from educational engagements to simulation-driven, detailed feasibility discussions with longer but more qualified sales cycles ( ). Q3 explicitly highlighted enhanced qualification and conversion improvements through upgraded platform capabilities and granular ROI demonstrations ( ).

    Q4, while not explicitly labeled as an “evolution,” shows deeper integration of Gen AI-driven initiatives into client engagements—transitioning clients from awareness to budgeted projects and demonstrating value through integrated platform upgrades ( ).

    A maturing strategy that consistently refines client qualification and conversion, with increasing reliance on AI-driven insights across periods.

    Integration and Execution Risks

    Q1 briefly noted the strategic intent to pursue acquisitions and alliances—implicitly involving integration risks ( ). Q2 mentioned integration aspects through ongoing acquisitions and operational pivots without dwelling on risks ( ). Q3 discussed the LeewayHertz acquisition and subsequent operational adjustments that improved client engagements, without highlighting severe risks ( ).

    Q4 did not explicitly discuss integration risks; instead, the focus was on the strategic benefits of the recent acquisition (LeewayHertz) and smooth integration into Gen AI offerings, suggesting reduced concern about operational challenges ( ).

    A shift from earlier caution to a more positive tone, with integration and execution risks receiving less explicit emphasis, implying smoother operational execution in Q4.

    Talent and Sales Force Expansion

    Q1 detailed aggressive hiring, internal training, and investments in critical data/tech resources along with increased SG&A expenses due to expanded sales force ( ). Q2 reinforced retention strategies with a hybrid delivery model and continued investments in talent and sales force expansion, noting modest increases in SG&A ( ). Q3 further emphasized doubling Gen AI implementation resources and strategic sales force expansion despite rising costs ( ).

    Q4 focused on sustained talent investments with active hiring in Gen AI and expansion of SAP and Oracle sales teams—even as cost pressures (e.g., higher commissions and SG&A) are noted—balancing these with anticipated growth opportunities ( ).

    Consistency across periods in aggressive talent and sales force expansion investments, with ongoing cost pressures balanced by clear growth opportunities.

    Oracle/EPM Market Opportunities

    Q1 reported strong momentum including double-digit growth in Oracle revenues and a clear benefit from Oracle’s renewed EPM sales focus ( ). Q2 showed steady growth in Oracle/EPM demand with continued momentum and strong performance metrics ( ). Q3 maintained positive trends driven by Oracle’s reestablished dedicated sales efforts, leading to improved revenues ( ).

    Q4 revealed a mixed picture with an overall slight decrease in Oracle segment revenue due to a post go-live wind-down, yet highlighted strong EPM activity and strategic expectations for innovation in AI-enabled EPM capabilities ( ).

    Despite short-term volatility in overall Oracle figures, long-term EPM opportunities remain strong, underscoring resilient market demand and strategic positioning.

    1. SAP Outlook
      Q: Expected duration for SAP business?
      A: Management noted a record end-of-year spike in SAP activity with strong demand, though Q1 will be lower due to seasonal factors. They expect sustained strength throughout 2025.

    2. Gen AI Conversion
      Q: Are demos converting to contracts?
      A: Management highlighted robust momentum with budgeted 2025 initiatives driving increased contract conversions and pipeline velocity for Gen AI projects.

    3. e-Procurement Impact
      Q: How significant are e-procurement headwinds?
      A: Management acknowledged that challenges in e-procurement and OneStream notably reduced the overall GSBT growth, though these areas are expected to recover as market dynamics shift.

    4. Pipeline Breadth
      Q: What is the extent of Gen AI pipeline?
      A: Management emphasized that extensive client meetings and early successes with platforms like AI XPLR and ZBrain are broadening the pipeline and fueling future opportunities.

    5. Project Duration
      Q: What is the average implementation project length?
      A: Management mentioned that project durations vary, with fast-start programs sometimes leading to contracts of up to 3 years, reflecting the evolving nature of Gen AI engagements.

    6. Compute Costs
      Q: How do lower compute costs factor in?
      A: Management explained that reduced compute pricing is enhancing the deployment of Gen AI solutions, improving technology efficiency and expanding client access to advanced capabilities.

    Research analysts covering HACKETT GROUP.