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FORRESTER RESEARCH, INC. (FORR)·Q3 2024 Earnings Summary
Executive Summary
- Q3 revenue declined 10% year over year to $102.5M, with GAAP diluted EPS at -$0.30; adjusted EPS was $0.29 as consulting and events remained soft while Forrester Decisions migration advanced to ~78% of CV .
- Management maintained full-year adjusted guidance (revenue $425–$435M; adjusted operating margin 8.5%–9.5%; adjusted EPS $1.37–$1.57), but lowered GAAP outlook (operating margin to 0.5%–1.5%; GAAP loss per share -$0.24 to -$0.04; GAAP tax rate to 135%–270%) .
- Contract value fell 5% YoY to $315.2M, with wallet retention at 89% and client retention at 73%; divestiture of FeedbackNow completed with $6M cash, $9M note due 2025, and small equity stake, and historical metrics recast to reflect the sale .
- Strategic catalysts: continued Forrester Decisions migration, Izola generative AI usage ramp (+40% QoQ prompts), and launch of Forrester Decisions for Data, AI & Analytics; focus on go-to-market motion, retention lifecycle, Med-PIC opportunity discipline into Q4 seasonally strongest bookings quarter .
What Went Well and What Went Wrong
What Went Well
- Forrester Decisions migration on track: ~78% of CV on FD with target >80% by year-end; CEO: “We will move to 2025 with a 4-year migration journey substantially completed” .
- Izola usage surged: Izola prompts increased ~40% QoQ; enhancements include grounding answers in Waves, inline citations; “Izola has now become the third most used feature of the FP platform” .
- Large deals and sector wins: $5M two-year APAC tech deal; $1.6M U.S. government migration to Forrester Decisions portfolio; FD client retention ~8 points above overall retention .
What Went Wrong
- Consulting and events weakness pressured margins: consulting revenue down 17% YoY; events down 54% YoY (mergers/push to Q4; sponsorship softness); adjusted operating margin fell to ~8% from ~10.8% YoY .
- CV bookings below plan and CV down 5% YoY to $315.2M, modestly worse than Q2 (-4%); management now expects FY CV flat to marginally down vs prior flat-to-slightly up outlook .
- GAAP results impacted by divestiture and restructuring: GAAP net loss -$5.8M; loss on sale recognized; combined with a wider GAAP tax rate range; adjusted EPS declined to $0.29 from $0.44 YoY .
Financial Results
Notes: Adjusted results exclude stock-based compensation, amortization of intangibles, restructuring, divestiture-related loss and transaction costs, legal settlement (2023), and investment gains/losses; adjusted tax rate assumption 29% .
Guidance Changes
Context: Q1 guidance had higher GAAP margin/EPS ranges and revenue $430–$450M; revised down at Q2 due to consulting/events headwinds; Q3 maintained adjusted ranges while GAAP moved lower .
Earnings Call Themes & Trends
Management Commentary
- CEO George Colony: “We are ahead of scheduled FT migration with 78% of contract value or CV out in FD... we will finish the year with over 80% of CV in Forrester decisions” .
- On Izola: “Izola has now become the third most used feature… prompts increased by 40% quarter-over-quarter” .
- Board of Clients value feedback: “Compared to McKinsey, Bain and other consultants, Forrester is affordable. The return on investment is very high” and “We need Forrester to look out into the next 5 years… No one else in our organization can do that” .
- CFO Chris Finn: “Operating income decreased by 33% to $8.2 million or 8% of revenue… net income and EPS decreased 35% and 34%… we are maintaining earnings per share in the range of $1.37 to $1.57” .
- Product strategy: launched “Forrester Decisions for Data, AI & Analytics” to help leaders architect data/AI platforms, governance, and business outcomes .
Q&A Highlights
- CV bookings and execution: sales execution adjustments made in a weaker group; management “comfortable” with Q4 bookings trajectory .
- 2025 budgets: tech budgets expected to increase; vendor environment stabilizing after ~1M U.S. tech layoffs in 18 months .
- GTM traction metrics: aiming for $500K rolling pipeline per rep; applying Med-PIC to improve pipeline quality; retention lifecycle adoption progressing .
- Client count decline drivers: mix shift away from smaller clients and restatement after FeedbackNow divestiture; impact concentrated in small clients .
- Pushback on seat expansion: budget constraints cited, requiring better value articulation vs consulting alternatives; success linked to connecting to top initiatives .
- Buybacks: will remain opportunistic in H2 2024 .
Estimates Context
- S&P Global consensus estimates for Q3 2024 could not be retrieved at time of query due to system limit; therefore, we cannot assess beats/misses versus Wall Street consensus for revenue or EPS. Values from S&P Global were unavailable at time of analysis.
- Given the unavailability, anchor to reported outcomes: GAAP diluted EPS -$0.30 and adjusted EPS $0.29; revenue $102.5M .
Key Takeaways for Investors
- Forrester Decisions migration remains the core long-term driver; >80% CV target by year-end is a key execution milestone to support 2025 stabilization and growth .
- Weak consulting and events continue to weigh on revenue and margins; the events soft sponsorship dynamic and merged/pushed events suggest limited near-term relief, so monitor Q4 event performance carefully .
- Izola and expanded AI service portfolio are differentiators that can lift engagement, retention, and cross-sell; usage growth and feature grounding increase product stickiness .
- GAAP guidance reset (operating margin and EPS to a loss range) reflects divestiture impacts and tax dynamics; adjusted guidance maintained—focus on adjusted profitability and cash discipline .
- CV stabilization signals with wallet retention at 89% and FD retention premium are constructive; however, Q3 CV down 5% and bookings below plan warrant caution into Q4 .
- Government and international showed bright spots and large wins; continued success here can offset vendor softness and support multi-year deal mix .
- Tactical trading: absent consensus datapoints, narrative catalysts include Q4 bookings seasonality, >80% FD migration achievement, and potential AI-driven adoption; risks include continued events/consulting softness and macro variability .