Forrester Research's third-quarter 2026 results provide a useful window into the research and advisory sector as well as the company's ongoing turnaround efforts. Revenue has been contracting for several periods amid softer enterprise spending and a pullback in consulting work. This report is worth watching because it shows whether the push into AI-enabled products and better client retention can help offset a smaller contract base. I am also monitoring whether the company can maintain its full-year guidance while stabilizing contract value, which serves as a leading indicator for future subscription revenue. The quarter delivered a mixed outcome with a consensus beat alongside continued top-line pressure.
Forrester Research posted total revenue of $86.1 million for the third quarter ended September 30, 2026, a decline of about 9% from $94.3 million in the year-ago period, but above the $81.76 million consensus estimate. Research revenue fell 3% to $70.1 million, while consulting revenue dropped 31% to $14.7 million, reflecting ongoing market uncertainty and the earlier exit from strategic consulting. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.
On an adjusted basis, the company earned $0.24 per diluted share, beating the $0.21 consensus, though down from $0.37 a year ago. Adjusted operating income declined 35% to $6.5 million, with adjusted operating margin contracting to 7.6% from 10.5%. On a GAAP basis, net loss widened to $4.4 million, or $0.23 per diluted share, from $2.1 million, or $0.11 per share, in the prior-year quarter.
Contract value declined 3.5% year over year to $281.9 million, an improvement from the 7% decline in the prior-year period. Retention improved to 89%, up three percentage points, while client retention rose four points to 78%. Management maintained its full-year revenue outlook of $350 million to $360 million and raised the low end of its adjusted EPS guidance to $0.77, for a new range of $0.77 to $0.82.
Investor sentiment heading into the report was cautiously optimistic, as FORR shares had risen nearly 49% over the trailing 12 months despite the company's declining revenue. The third-quarter results supported that optimism in the near term: shares moved higher in after-hours trading after the company beat consensus estimates on revenue, margin, and adjusted EPS, while simultaneously narrowing and raising the low end of its full-year earnings outlook.
Still, the reaction reflects a balancing act. Investors weighed the encouraging retention and AI-usage metrics against a persistent decline in contract value and a sharp consulting contraction. The market's willingness to look past the GAAP net loss and focus on the adjusted beat and improved guidance suggests sentiment is leaning toward the view that Forrester's stabilization efforts are gaining traction, even if a full revenue recovery has not yet arrived.
Following this report, the most important signal to watch is contract value. Management now expects year-end contract value to range from a 2% decline to 2% growth, centered around flat. Because contract value is a leading indicator of future subscription revenue, whether it stabilizes or returns to growth will shape how investors view the company's trajectory into 2027.
Retention metrics are another key area. The improvement to 89% retention and 78% client retention suggests Forrester is doing a better job keeping existing clients, but investors will want to see whether these gains translate into new contract wins. The continued strength in the technology research vertical is a positive, while the consulting segment remains a drag.
AI adoption is an emerging catalyst. Forrester reported that AI prompts increased 142% year over year, and management has pointed to new AI-enabled products and sales initiatives as supports for a return to contract value growth. Finally, cost discipline and capital allocation remain in focus, with management citing share buybacks and careful expense management as reasons it could raise the low end of its EPS guidance. Together, these factors will determine whether the company's stabilization story converts into sustained growth.
In my own analysis of earnings reports like this one, I often turn to Tickeron’s AI-powered tools to quickly scan for comparable companies and technical patterns. The AI Screener, for instance, helps narrow down opportunities based on fundamentals and trends without spending hours on manual reviews. It has become a regular part of my workflow when evaluating stocks in the research and advisory space.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
FORR saw its Momentum Indicator move above the 0 level on October 12, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 86 similar instances where the indicator turned positive. In 63 of the 86 cases, the stock moved higher in the following days. The odds of a move higher are at 73%.
The Moving Average Convergence Divergence (MACD) for FORR just turned positive on October 13, 2026. Looking at past instances where FORR's MACD turned positive, the stock continued to rise in 31 of 45 cases over the following month. The odds of a continued upward trend are 69%.
FORR moved above its 50-day moving average on October 20, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for FORR crossed bullishly above the 50-day moving average on October 21, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 9 of 17 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 53%.
Following a +4.87% 3-day Advance, the price is estimated to grow further. Considering data from situations where FORR advanced for three days, in 194 of 304 cases, the price rose further within the following month. The odds of a continued upward trend are 64%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 47 of 60 cases where FORR's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 78%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FORR declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 77%.
FORR broke above its upper Bollinger Band on October 22, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Aroon Indicator for FORR entered a downward trend on October 14, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The Tickeron Valuation Rating of 26 (best 1 - 100 worst) indicates that the company is slightly undervalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (1.906) is normal, around the industry mean (12.756). P/E Ratio (-5.462) is within average values for comparable stocks, (46.995). Projected Growth (PEG Ratio) (1.275) is also within normal values, averaging (2.814). Dividend Yield (0.066) settles around the average of (0.037) among similar stocks. P/S Ratio (0.584) is also within normal values, averaging (25.562).
The Tickeron Price Growth Rating for this company is 37 (best 1 - 100 worst), indicating steady price growth. FORR’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron PE Growth Rating for this company is 67 (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron SMR rating for this company is 97 (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron Profit vs. Risk Rating rating for this company is 100 (best 1 - 100 worst), indicating that the returns do not compensate for the risks. FORR’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 93, placing this stock worse than average.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a provider of insights into computing and software
Industry DataProcessingServices