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Nov 09, 2026
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Kaltura (KLTR) Analyst Targets Suggest +145% Upside to $3.50 Average

Kaltura (KLTR) Analyst Targets Suggest +145% Upside to $3.50 Average

Key Takeaways

  • The $3.50 central target is the arithmetic mean of the two current, verified analyst price targets for Kaltura: $3.00 from Needham and $4.00 from Canaccord Genuity.
  • At a recent price of about $1.43, reaching $3.50 would require roughly 145% upside — a very large move.
  • The current analyst target range is $3.00 to $4.00, with both active ratings at Buy; an older Wells Fargo Underweight target of $1.50 sits far below the bullish cohort.
  • Supporting factors include improving profitability, roughly 8% annualized recurring revenue (ARR) growth, rising gross margin, and new AI-driven products.
  • Key risks include low single-digit revenue growth, a still-negative net income, thin analyst coverage, and small-cap volatility.
  • For more detail, explore Kaltura's Major News, Today's Price Move, Forecast, and Earnings pages.
  • Explore Trending AI Robots to see how AI-driven tools are applied to stock and ETF analysis.

Analyst Price Targets and Consensus View

Kaltura, Inc. (KLTR) is a New York-based provider of enterprise video, education, and media software. It is a stock, not an ETF, and it carries notably thin sell-side coverage. Only two current, attributable analyst price targets could be verified: Needham's $3.00 Buy target (maintained May 2026) and Canaccord Genuity's $4.00 Buy target (reiterated May 2026). The arithmetic mean of these two targets is $3.50, which is the central target used here. The approximate range is $3.00 to $4.00, a roughly $1 spread that reflects genuine disagreement about how quickly Kaltura's AI and recurring-revenue initiatives can translate into sustained growth.

Both firms frame their view around "constructive long-term AI growth," but they weight the company's profitability trajectory differently. A third, older datapoint — a Wells Fargo Underweight rating with a $1.50 target from August 2025 — is materially stale relative to the two 2026 targets and is excluded from the calculation, though it underscores that bearish perspectives exist. Given the sparse coverage, this $3.50 figure should be read as an illustrative average of two analyst opinions, not a broad market consensus. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.

Current Market Position and Path Toward the Target

Kaltura shares recently traded near $1.43, within a 52-week range of roughly $1.06 to $2.05 and a market capitalization of about $220 million. Moving from $1.43 to $3.50 would require an increase of approximately 145%, which qualifies as a very large move by any standard. Such a path would likely depend on a fundamental re-rating of the business rather than incremental execution alone.

Operationally, Kaltura generated about $181 million in trailing-twelve-month revenue and reported second-quarter 2026 revenue of roughly $46.9 million, up about 5% year over year, with ARR near $184.6 million (up roughly 8%). Gross margin expanded to about 74% in that quarter from 70% a year earlier, and the net loss narrowed by about 28% to roughly $5.5 million. Reaching the target would require accelerating revenue growth, sustaining margin gains, and convincing investors that the company's AI and media-software strategy merits a substantially higher valuation multiple.

What Could Support a Move Toward the Target

  • Improving profitability: narrowing net losses and rising gross margin suggest operating leverage is building.
  • Recurring-revenue momentum: ARR growth of roughly 8% points to a more predictable, subscription-oriented model.
  • AI product expansion: the acquisition of eSelf AI and the April 2026 PathFactory deal, plus tools like Kaltura Genie, position the company in the agentic-AI and engagement-analytics space.
  • Analyst support: both current analysts maintain Buy ratings, with targets well above the share price.
  • Valuation upside: at roughly $220 million in market cap versus $180 million-plus in revenue, a growth re-rating could lift the stock meaningfully.

What Could Prevent the Target From Being Reached

  • Slow top-line growth: annual revenue rose only about 1%–2% in recent full fiscal years, and any deceleration would undermine the bull case.
  • Persistent losses: the company remains unprofitable on a net basis, with negative earnings per share (EPS).
  • Thin coverage and liquidity: with only two active analysts and modest trading volume, the stock can be volatile and slow to re-rate.
  • Competitive pressure: Kaltura competes against larger video, collaboration, and AI platforms with far greater resources.
  • Balance-sheet constraints: total debt of roughly $43.5 million against about $31 million in cash narrows strategic flexibility.
  • Bearish dissent: the earlier Wells Fargo $1.50 target illustrates that some analysts see downside rather than upside.

Technical Levels and Market Structure

The stock sits near $1.43, closer to the low end of its 52-week range of about $1.06 to $2.05. The $2.00–$2.05 area marks the prior 52-week high and a meaningful resistance zone, while the $1.00 psychological level has served as durable support. Any sustained move toward a $3.50 stock price target would first need to clear the $2.00–$2.05 band, which represents a roughly 40%–45% advance from current levels on its own. From what I see, monitoring these levels closely helps frame realistic entry and exit points.

Time Horizon and What Investors Should Monitor

Analyst price targets generally reflect a research horizon of about 12 months, though the two current Kaltura targets do not specify a materially different timeline. Investors should watch the quarterly earnings reports — including the November 2026 results — for revenue growth, ARR trends, gross margin, and progress toward profitability. Equally important are analyst rating and target revisions, updates on AI product adoption and the PathFactory and eSelf AI integrations, and any changes in the company's debt or cash position. I’m watching this closely as new data emerges.

AI Daily Buy/Sell Signals

For traders seeking a systematic view of evolving conditions, Tickeron's AI Daily Buy/Sell Signals offer a data-driven complement to fundamental research. The platform uses artificial intelligence to continuously monitor thousands of stocks and ETFs, generating Buy, Sell, or Hold signals based on changing market conditions, technical behavior, and AI-driven analysis. In my view, these signals help track momentum shifts in names like KLTR efficiently. Traders can use them to discover opportunities, monitor existing positions, and spot shifting trends more efficiently than manual screening alone. As part of a broader research process, these tools can help investors track momentum changes in names like Kaltura alongside their own due diligence.

Final Assessment

The $3.50 central target is the average of just two current analyst price targets — $3.00 (Needham) and $4.00 (Canaccord Genuity) — and implies a very large move of roughly 145% from a recent price near $1.43. The bull case rests on improving profitability, rising gross margin, and an emerging AI and recurring-revenue narrative, while the bear case points to sluggish top-line growth, ongoing net losses, a leveraged balance sheet, and a single legacy Sell rating well below the bullish cohort. With such thin coverage and a wide implied gap between price and target, reaching $3.50 would require a genuine re-rating of the business rather than marginal progress. Investors should monitor earnings, ARR growth, and analyst revisions before drawing conclusions, and no outcome is guaranteed.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

Related Ticker: KLTR

Contributor

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.


KLTR in downward trend: price may decline as a result of having broken its higher Bollinger Band on October 28, 2026

KLTR broke above its upper Bollinger Band on October 28, 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 A.I.dvisor looked at 33 similar instances where the stock broke above the upper band. In 31 of the 33 cases the stock fell afterwards. This puts the odds of success at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 53 of 59 cases where KLTR's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 90%.

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on October 09, 2026. You may want to consider a long position or call options on KLTR as a result. In 71 of 87 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 82%.

The Moving Average Convergence Divergence (MACD) for KLTR just turned positive on October 07, 2026. Looking at past instances where KLTR's MACD turned positive, the stock continued to rise in 44 of 49 cases over the following month. The odds of a continued upward trend are 90%.

KLTR moved above its 50-day moving average on October 27, 2026 date and that indicates a change from a downward trend to an upward trend.

The 10-day moving average for KLTR crossed bullishly above the 50-day moving average on October 29, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 14 of 19 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 74%.

Following a +7.14% 3-day Advance, the price is estimated to grow further. Considering data from situations where KLTR advanced for three days, in 169 of 224 cases, the price rose further within the following month. The odds of a continued upward trend are 75%.

The Aroon Indicator entered an Uptrend today. In 84 of 111 cases where KLTR Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 76%.

Fundamental Analysis (Ratings)

The Tickeron Price Growth Rating for this company is 46 (best 1 - 100 worst), indicating steady price growth. KLTR’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 58 (best 1 - 100 worst), pointing to consistent 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 Valuation Rating of 95 (best 1 - 100 worst) indicates that the company is significantly overvalued 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 (137.044) is normal, around the industry mean (-1.906). P/E Ratio (-19.000) is within average values for comparable stocks, (9.554). Projected Growth (PEG Ratio) (0.000) is also within normal values, averaging (2.824). Dividend Yield (0.000) settles around the average of (0.069) among similar stocks. P/S Ratio (1.172) is also within normal values, averaging (70.383).

The Tickeron SMR rating for this company is 99 (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. KLTR’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 94, placing this stock worse than average.

Notable companies

The most notable companies in this group are Shopify Inc (NASDAQ:SHOP), Salesforce (NYSE:CRM), Uber Technologies (NYSE:UBER), ServiceNow Inc. (NYSE:NOW), Adobe (NASDAQ:ADBE), Intuit (NASDAQ:INTU), Datadog (NASDAQ:DDOG), Autodesk (NASDAQ:ADSK), Workday (NASDAQ:WDAY), Atlassian Corp (NASDAQ:TEAM).

Industry description

Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.

Market Cap

The average market capitalization across the Packaged Software Industry is 10.32B. The market cap for tickers in the group ranges from 39 to 269.45B. SAP holds the highest valuation in this group at 269.45B. The lowest valued company is STIXF at 39.

High and low price notable news

The average weekly price growth across all stocks in the Packaged Software Industry was -0%. For the same Industry, the average monthly price growth was -5%, and the average quarterly price growth was 4%. IFBD experienced the highest price growth at 63%, while AUUD experienced the biggest fall at -66%.

Volume

The average weekly volume growth across all stocks in the Packaged Software Industry was 14%. For the same stocks of the Industry, the average monthly volume growth was 37% and the average quarterly volume growth was -33%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 51
P/E Growth Rating: 58
Price Growth Rating: 60
SMR Rating: 77
Profit Risk Rating: 93
Seasonality Score: 11 (-100 ... +100)
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Industry PackagedSoftware

Industry
N/A
Address
860 Broadway
Phone
+1 646 290-5445
Employees
494
Web
https://www.kaltura.com
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