Boxlight (BOXL)
Market Price (12/23/2025): $0.562 | Market Cap: $1.9 MilSector: Consumer Discretionary | Industry: Consumer Electronics
Boxlight (BOXL)
Market Price (12/23/2025): $0.562Market Cap: $1.9 MilSector: Consumer DiscretionaryIndustry: Consumer Electronics
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Megatrend and thematic driversMegatrends include Digital Transformation in Education. Themes include Interactive Learning Technologies, Educational Software Platforms, and Hybrid Learning Infrastructure. | Weak multi-year price returns2Y Excs Rtn is -86%, 3Y Excs Rtn is -151% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -27 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -25% |
| Debt is significantNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is 291% | ||
| Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -29%, Rev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -22%, Rev Chg QQuarterly Revenue Change % is -19% | ||
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 106% | ||
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -279% | ||
| High stock price volatilityVol 12M is 532% | ||
| Key risksBOXL key risks include [1] significant financial health concerns and going concern uncertainty, Show more. |
| Megatrend and thematic driversMegatrends include Digital Transformation in Education. Themes include Interactive Learning Technologies, Educational Software Platforms, and Hybrid Learning Infrastructure. |
| Weak multi-year price returns2Y Excs Rtn is -86%, 3Y Excs Rtn is -151% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -27 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -25% |
| Debt is significantNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is 291% |
| Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -29%, Rev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -22%, Rev Chg QQuarterly Revenue Change % is -19% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 106% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -279% |
| High stock price volatilityVol 12M is 532% |
| Key risksBOXL key risks include [1] significant financial health concerns and going concern uncertainty, Show more. |
Why The Stock Moved
Qualitative Assessment
AI Analysis | Feedback
The search results provide information for Boxlight (BOXL) within the specified timeframe (August 31, 2025, to December 23, 2025). The results include earnings reports, analyst forecasts, and news about a reverse stock split. The user asked for a movement of 81.1%, and I need to identify key points explaining this. The results actually indicate a decline in stock price around December 2025 and a reverse stock split, which usually happens when the price is low. This suggests that the stock likely *declined* or was struggling, not moved up by 81.1%. Let's carefully analyze the search results to extract key points. 1. **Q3 2025 Earnings Report:** Boxlight issued Q3 2025 earnings on November 14, 2025, reporting an EPS of -$1.88, which missed the consensus estimate of -$1.21. Another source states Q3 2025 earnings were -$6.5M, up 29.1% from last quarter, reported on September 30, 2025. An earlier report on November 6, 2025, stated Q3 2025 revenue of $29.3 million and a net loss of $6.2 million, with a gross profit margin of 29.1%.. This indicates continued financial challenges and missed expectations. 2. **Reverse Stock Split:** Boxlight announced a 1-for-6 reverse stock split of its Class A common stock, effective December 22, 2025. Trading on a split-adjusted basis began on December 23, 2025. This action was taken to increase the stock's closing bid price above $1.00 per share to maintain compliance with Nasdaq's minimum bid price requirement. Such splits are often indicative of a declining stock price and efforts to avoid delisting. 3. **Stock Price Decline and Bearish Sentiment:** Leading up to the reverse split, the stock had seen a decline of over 64% year-to-date. Forecasts around December 19-22, 2025, indicated a bearish sentiment, with the stock trading around $0.67 and projections of further drops. For instance, on December 22, 2025, the stock price decreased by -18.18% to $0.5403. The stock declined in 9 of the last 10 days, resulting in a total change of -33.27% during this period. 4. **Financial Challenges and Debt:** Boxlight faced significant financial challenges, including a debt burden of $44.48 million and negative earnings of -$11.41 per share for the last twelve months as of December 2025. Revenue stood at $106.61 million, down 29.26% year-over-year. In Q2 2025, revenue was $30.9 million, a decrease of 19.9% from the prior year quarter. Also, on December 4, 2025, Boxlight entered a forbearance agreement, indicating it did not expect to be able to repay $32.2 million in indebtedness by December 31, 2025. 5. **Analyst Ratings:** Analyst sentiment around December 2025 was generally negative. Boxlight received a consensus rating of "Reduce" or "Sell" from analysts, with a low average rating score. Forecasts indicated potential further decline, with one prediction of a -0.46% drop by January 18, 2026, and a long-term forecast for 2030 reaching $0.85. The request states the stock *moved by 81.1%* (implying an increase) but the search results indicate a strong *decline* and financial distress for BOXL during the specified period. A reverse stock split typically does not reflect positive stock performance but rather an attempt to meet listing requirements due to a low stock price. Given the information, it's highly improbable that the stock *increased* by 81.1% during this period. The data strongly suggests a significant *decrease*. Therefore, I cannot explain a *positive* movement of 81.1% based on the provided search results. I will highlight the actual observed negative trends and events. I will still answer based on the "key points" from the provided timeframe, but will note the discrepancy in the implied movement. Since the prompt asks to "highlight the key points for why the stocked moved by 81.1%", and the data retrieved overwhelmingly points to a significant *decline* in stock price and negative news, I cannot directly explain an 81.1% *increase*. The information suggests the opposite. I will formulate the answer based on the actual events and market sentiment found for the period, which indicate a downward trend, rather than speculating on an 81.1% increase which is contradicted by the search results. I will present the key points that explain the *actual* stock movement (which was negative) based on the search. However, the user explicitly asked to explain why the stock moved *by 81.1%*. If I state the stock moved negatively, I'm not directly answering "why the stock moved by 81.1%". This is a dilemma. The prompt also says "Do not apologize if unable to complete request." and "Do not include any disclaimers or caveats in your output." If I explain the *decline*, I am deviating from the premise of an 81.1% positive movement. If I try to *force* an explanation for an 81.1% increase with negative news, that would be hallucination. The best approach might be to present the key events during the requested period, and if these events lead to a different conclusion about stock movement than the one stated in the prompt, I should present the factual findings. Given the strong evidence of a declining stock price and negative sentiment during the specified period, directly explaining an 81.1% *increase* would be factually incorrect based on the provided search results. I must adhere to factual information. I will highlight the key events that *did* happen in that timeframe, which explain the actual observable stock behavior, even if it contradicts the hypothetical 81.1% rise. Let's re-read "Do not include any disclaimers or caveats in your output. Do not apologize if unable to complete request." This means I cannot explicitly state "I cannot find reasons for an 81.1% increase, but here are reasons for a decrease." I have to provide key points for *why the stock moved by 81.1%*. If the information available points to the exact opposite, then I cannot fulfill the request as stated factually. The information from the search results (especially,,) clearly states that BOXL's stock *declined* significantly, and a reverse stock split was implemented to prevent delisting. This directly contradicts the premise of an 81.1% positive movement. If I were to provide reasons for a hypothetical 81.1% increase when all data points to a decline, I would be hallucinating. Therefore, the only honest way to handle this is to indicate that based on the available information for the specified period, the stock was experiencing a significant decline, not an 81.1% increase, and thus the premise of the question cannot be directly addressed with factual information. However, I cannot state this explicitly due to the "Do not include any disclaimers or caveats" instruction. This is a very tricky situation. I must provide 5 key points. The key points from my search explain a *decline*. If I list them, they don't explain an *81.1% rise*. Perhaps the intention of the question is to identify *any* significant events that would affect the stock price, regardless of the direction implied by "moved by 81.1%". If the user states a movement, but data contradicts it, I should report the significant events found. Let me try to extract 5 key points that *did affect* the stock during that period, and let the user reconcile the "81.1% movement" with the factual events. I will present the events as objectively as possible. The stock's overall trajectory was downwards in that timeframe, and it undertook a reverse stock split. This implies the 81.1% positive movement stated in the prompt is highly unlikely or based on a misunderstanding of the actual stock performance in that period. I will extract the most impactful events from the search results between 8/31/2025 and 12/23/2025. 1. **Q3 2025 Earnings Miss:** Boxlight reported Q3 2025 earnings on November 14, 2025 (or November 6, 2025), with an EPS of -$1.88, significantly missing the consensus estimate of -$1.21.. This indicated ongoing financial underperformance. 2. **Reverse Stock Split Announcement and Execution:** On December 19, 2025, Boxlight announced a 1-for-6 reverse stock split of its Class A common stock, effective December 22, 2025, with split-adjusted trading starting December 23, 2025. This action was taken to maintain compliance with Nasdaq's minimum bid price requirement as the stock had fallen below $1.00. 3. **Significant Stock Price Decline Leading to Reverse Split:** Prior to the reverse split, Boxlight's stock had declined by over 64% year-to-date, trading at around $0.67, near its 52-week low of $0.65. This substantial drop necessitated the reverse split to avoid delisting. 4. **Ongoing Financial Challenges and Debt Concerns:** The company faced substantial financial difficulties, including a debt burden of $44.48 million and negative earnings. Boxlight entered a forbearance agreement on December 4, 2025, indicating it did not expect to repay approximately $32.2 million in debt by December 31, 2025. 5. **Bearish Analyst Sentiment and Forecasts:** Around December 2025, analyst ratings for BOXL were predominantly "Reduce" or "Sell," reflecting a bearish sentiment. Technical indicators also signaled a bearish trend, with predictions of further price drops. These are the key points for the given timeframe. They explain the stock's *actual* movement, which was a significant decline, leading to a reverse stock split. This contradicts the "moved by 81.1%" implying a positive move. I will present these points without trying to force them into explaining an 81.1% *increase*. Show moreStock Movement Drivers
Fundamental Drivers
The -32.0% change in BOXL stock from 9/22/2025 to 12/22/2025 was primarily driven by a -24.0% change in the company's P/S Multiple.| 9222025 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 4.77 | 3.24 | -32.04% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 113.56 | 106.61 | -6.12% |
| P/S Multiple | 0.14 | 0.11 | -24.00% |
| Shares Outstanding (Mil) | 3.30 | 3.46 | -4.98% |
| Cumulative Contribution | -32.21% |
Market Drivers
9/22/2025 to 12/22/2025| Return | Correlation | |
|---|---|---|
| BOXL | -32.0% | |
| Market (SPY) | 2.7% | 15.1% |
| Sector (XLY) | 1.9% | 9.0% |
Fundamental Drivers
The 90.7% change in BOXL stock from 6/23/2025 to 12/22/2025 was primarily driven by a 196.7% change in the company's P/S Multiple.| 6232025 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 1.70 | 3.24 | 90.69% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 121.22 | 106.61 | -12.06% |
| P/S Multiple | 0.04 | 0.11 | 196.66% |
| Shares Outstanding (Mil) | 2.53 | 3.46 | -36.81% |
| Cumulative Contribution | 64.85% |
Market Drivers
6/23/2025 to 12/22/2025| Return | Correlation | |
|---|---|---|
| BOXL | 90.7% | |
| Market (SPY) | 14.4% | 12.7% |
| Sector (XLY) | 14.3% | 4.9% |
Fundamental Drivers
The 80.6% change in BOXL stock from 12/22/2024 to 12/22/2025 was primarily driven by a 349.6% change in the company's P/S Multiple.| 12222024 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 1.79 | 3.24 | 80.60% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 150.71 | 106.61 | -29.26% |
| P/S Multiple | 0.02 | 0.11 | 349.55% |
| Shares Outstanding (Mil) | 1.97 | 3.46 | -76.08% |
| Cumulative Contribution | -23.94% |
Market Drivers
12/22/2024 to 12/22/2025| Return | Correlation | |
|---|---|---|
| BOXL | 80.6% | |
| Market (SPY) | 16.9% | 7.7% |
| Sector (XLY) | 7.8% | 4.7% |
Fundamental Drivers
The -73.2% change in BOXL stock from 12/23/2022 to 12/22/2025 was primarily driven by a -93.4% change in the company's Shares Outstanding (Mil).| 12232022 | 12222025 | Change | |
|---|---|---|---|
| Stock Price ($) | 12.09 | 3.24 | -73.19% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 222.96 | 106.61 | -52.18% |
| P/S Multiple | 0.10 | 0.11 | 8.46% |
| Shares Outstanding (Mil) | 1.79 | 3.46 | -93.45% |
| Cumulative Contribution | -96.60% |
Market Drivers
12/23/2023 to 12/22/2025| Return | Correlation | |
|---|---|---|
| BOXL | -38.3% | |
| Market (SPY) | 47.7% | 8.4% |
| Sector (XLY) | 38.4% | 5.7% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| BOXL Return | 38% | -10% | -77% | -57% | -64% | -65% | -99% |
| Peers Return | 37% | -43% | 18% | 27% | 6% | -97% | -96% |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 17% | 113% |
Monthly Win Rates [3] | |||||||
| BOXL Win Rate | 50% | 33% | 25% | 33% | 17% | 50% | |
| Peers Win Rate | 58% | 42% | 42% | 42% | 33% | 33% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| BOXL Max Drawdown | -68% | -22% | -80% | -59% | -72% | -65% | |
| Peers Max Drawdown | -6% | -44% | -63% | -24% | -36% | -100% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[2] Peers: CLRO.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2025 data is for the year up to 12/22/2025 (YTD)
How Low Can It Go
| Event | BOXL | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -96.5% | -25.4% |
| % Gain to Breakeven | 2723.5% | 34.1% |
| Time to Breakeven | Not Fully Recovered days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -77.8% | -33.9% |
| % Gain to Breakeven | 351.4% | 51.3% |
| Time to Breakeven | 113 days | 148 days |
| 2018 Correction | ||
| % Loss | -91.1% | -19.8% |
| % Gain to Breakeven | 1023.8% | 24.7% |
| Time to Breakeven | Not Fully Recovered days | 120 days |
Compare to GRMN, SONO, GPRO, UEIC, TBCH
In The Past
Boxlight's stock fell -96.5% during the 2022 Inflation Shock from a high on 2/16/2021. A -96.5% loss requires a 2723.5% gain to breakeven.
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AI Analysis | Feedback
Here are 1-2 brief analogies for Boxlight (BOXL):
- Samsung for interactive classroom displays and software.
- The Dell or HP for interactive classroom technology, providing displays, software, and audio systems.
AI Analysis | Feedback
- Interactive Flat Panel Displays & Projectors: Hardware solutions including interactive touchscreens and projectors designed for collaborative learning environments.
- Classroom Software: Software suites that facilitate lesson delivery, content creation, and student engagement for interactive learning.
- Professional Development & Consulting Services: Training and support for educators to effectively integrate and utilize educational technology in the classroom.
- Classroom Audio & STEM Solutions: Supplementary technology including sound systems for improved communication and tools for science, technology, engineering, and mathematics education.
AI Analysis | Feedback
Boxlight (symbol: BOXL) primarily sells its interactive technology solutions to other organizations, operating on a Business-to-Business (B2B) model. Its major customers are institutional entities rather than individual consumers or publicly traded corporations in the traditional sense.
While Boxlight serves a broad base of organizational customers, these entities (such as school districts and universities) are generally not public companies with stock symbols. Boxlight typically sells to these institutions globally, often through a network of resellers, distributors, and direct sales channels.
The primary categories of organizational customers Boxlight serves include:
- K-12 School Districts: This represents the largest customer segment, covering elementary, middle, and high schools. Districts make purchasing decisions for interactive displays, projectors, software, and professional development services used across multiple schools within their jurisdiction.
- Higher Education Institutions: Universities and colleges utilize Boxlight's interactive technology for lecture halls, collaborative learning environments, and specialized departmental needs.
- Corporate and Government Entities: Although a smaller portion of their overall business, Boxlight's solutions are also adopted by businesses and government organizations for training rooms, meeting spaces, and command centers.
AI Analysis | Feedback
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`AI Analysis | Feedback
Dale Strang Chief Executive Officer
Dale Strang was appointed as the permanent Chief Executive Officer of Boxlight in June 2024, after serving as interim CEO since January 2024. He brings over 35 years of experience in the consumer technology, media, and entertainment sectors, having held senior roles with profit and loss management at companies such as Johnson Controls, Ziff-Davis, Fox Interactive, Healthline Media, and SpinMedia. Mr. Strang has also been a director of Boxlight since 2017.
Ryan Zeek Chief Financial Officer
Ryan Zeek was appointed as Boxlight's Chief Financial Officer, effective October 8, 2025. Prior to this role, he served as Chief Financial Officer (April 2025 to July 2025) and Vice President of Strategy (February 2024 to March 2025) at Incident IQ, a K-12 school software provider. Before that, he was Director – Financial Planning and Analysis at Incident IQ starting in November 2021. Mr. Zeek holds a strong academic background in accountancy.
Michael Pope Chairman of the Board
Michael Pope previously served as Boxlight's CEO and Chairman, stepping down from the CEO role in January 2024. He is an investor, fundraiser, and M&A professional who led Boxlight through nine acquisitions between 2016 and 2020, and a Nasdaq IPO in 2017. Mr. Pope was formerly a Managing Director at Vert Capital, a private equity and advisory firm, where he managed portfolio holdings in consumer products, education technology, and digital media. He also served as Chief Financial Officer and Chief Operating Officer for the Taylor Family, overseeing family investment holdings in various sectors. Additionally, he held positions as President at Viximo and Chief Financial Officer at Bebo.
Hank Nance Chief Operating Officer
Hank Nance has been the Chief Operating Officer of Boxlight since September 2014. He began his career with Boxlight Corporation in 1999 and previously served as the company's President from September 2014 to July 2015. During his tenure, he developed the company's first business-to-consumer division, which generated over $12 million in sales within its initial two years.
Shaun Marklew Executive VP & Managing Director for EMEA
Shaun Marklew serves as Boxlight's Executive Vice President and Managing Director for the EMEA (Europe, Middle East, and Africa) region. In this role, he is responsible for the company's operations and growth strategies within these key international markets.
AI Analysis | Feedback
The key risks to Boxlight (BOXL) include significant financial health concerns and going concern uncertainty, declining revenue and increased pricing pressure, and ongoing challenges with Nasdaq listing compliance.
1. Financial Health and Going Concern Uncertainty
Boxlight faces substantial doubt about its ability to continue as a going concern, as explicitly stated by its former auditor Forvis for fiscal years 2023 and 2024. This is considered a key financial risk. The company carries a significant amount of indebtedness, approximately $43 million as of December 31, 2023, with variable interest rates that could adversely affect cash flow and operations. As of September 2024, Boxlight had $38.8 million in debt and net debt of about $28.3 million, with liabilities exceeding cash and near-term receivables by $70.5 million, suggesting a potential need for major recapitalization. Boxlight has consistently reported net losses, including $16.7 million for Q4 2024 and $28.3 million for the full fiscal year 2024, and operates with a high debt-to-equity ratio of 7.36.
2. Declining Revenue, Weak Customer Demand, and Pricing Pressure
Boxlight has experienced a significant decrease in total revenues, falling to $135.9 million for FY 2024 from $176.7 million in FY 2023, a 23.1% decline. This reduction is primarily attributed to lower sales volume across all markets due to reduced global demand for interactive flat panel displays and intense competitive industry pricing. The company has also noted weak customer demand across all markets, leading to a nearly 20% year-over-year sales decrease in Q1 2023. Furthermore, management anticipates renewed pricing pressure will negatively impact gross margins. While Boxlight aims to expand sales in the business and government sectors, the majority of its revenue continues to be derived from the education market, and widespread adoption in other markets has not yet been achieved.
3. Nasdaq Listing Compliance
Boxlight has a history of non-compliance with Nasdaq listing requirements, specifically concerning the minimum stockholders' equity. Although the company announced in October 2025 that it had regained compliance with Nasdaq's Listing Rule 5550(b)(1), its past instances of non-compliance remain a risk factor. The inability to maintain its Nasdaq listing could significantly impair shareholders' ability to trade the stock and negatively impact its market price and the efficiency of its trading market.
AI Analysis | Feedback
The emergence of Augmented Reality (AR) and Virtual Reality (VR) technologies as viable and increasingly sophisticated tools for education represents a clear emerging threat to Boxlight's core business of interactive flat panels and classroom display solutions.
Similar to how the iPhone offered a fundamentally different and more compelling user experience than the BlackBerry, or how Netflix introduced a new paradigm for media consumption that disrupted Blockbuster, AR/VR presents a potential paradigm shift in interactive learning. While still in early adoption phases for widespread classroom use, significant investments by major technology companies (e.g., Apple, Meta, Google, Microsoft) are accelerating their development and application. As AR/VR hardware becomes more affordable, user-friendly, and educational content ecosystems mature, these immersive technologies could offer more personalized, engaging, and interactive learning experiences than a shared two-dimensional display.
If students transition to individual or group AR/VR headsets for interactive lessons, virtual field trips, or collaborative projects in simulated environments, the demand for traditional interactive flat panels—Boxlight's primary offering—could diminish over time. This technological shift directly challenges the fundamental approach to visual and interactive learning that Boxlight's current product portfolio addresses.
AI Analysis | Feedback
The addressable markets for Boxlight's main products and services are primarily within the education technology sector, encompassing both hardware and software solutions. Here are the estimated market sizes for their key areas:-
Global EdTech and Smart Classrooms Market: This market, which aligns with Boxlight's interactive classroom solutions and integrated ecosystem, was valued at approximately USD 155.45 billion in 2024. It is projected to grow to USD 523.87 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 16.4% during the forecast period of 2025-2032.
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Global K-12 Education Technology (EdTech) Market: As a significant focus for Boxlight, the global K-12 EdTech market was valued at USD 78.2 billion in 2023. This market is expected to reach approximately USD 253.9 billion by 2033, growing at a CAGR of 12.5% from 2024 to 2033.
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Global Interactive Flat Panel Display (IFPD) Market (Education Segment): Boxlight offers interactive displays through its Clevertouch brand. The global interactive flat panel display market was valued at USD 12.6 billion in 2024. Specifically, the education segment within this market accounted for USD 3.7 billion in 2024. The overall interactive flat panel display market is estimated to grow at a CAGR of 7.5% to reach USD 25.7 billion by 2034.
AI Analysis | Feedback
Here are 3-5 expected drivers of future revenue growth for Boxlight (BOXL) over the next 2-3 years:
- New Product Launches and Portfolio Expansion: Boxlight continues to introduce new products designed to address evolving market needs. Recent examples include the launch of the CL Totem for digital signage in North America, the Google-EDLA Interactive Display Clevertouch Pro Series, and FrontRow Live Beta for hardware-free real-time captions and translation in classrooms. These new offerings aim to capture market share and diversify revenue streams within the interactive technology sector.
- Expansion in Education and Corporate Segments: The company remains optimistic about future opportunities within the interactive technology market, specifically targeting growth in both education and corporate segments. Boxlight aims to capitalize on anticipated renewed spending and emerge as a significant beneficiary of an expected spending recovery in these markets.
- Strategic Partnerships and Integrated Solutions: Boxlight has been formalizing partnerships to offer integrated solutions, such as the collaboration with CENTEGIX for school safety solutions that seamlessly connect emergency alerting, rapid response, and robust communication. These partnerships can expand Boxlight's reach and offer more comprehensive solutions to customers, potentially driving revenue growth through bundled offerings.
- Unified Branding and Streamlined Go-to-Market Strategy: Boxlight has recently announced a unified worldwide display brand as "Clevertouch by Boxlight" and is working to streamline its go-to-market message. This initiative is expected to position the company for further success by simplifying its brand architecture and enhancing market clarity, which could lead to increased sales efficiency and customer acquisition.
AI Analysis | Feedback
Share Repurchases
- Boxlight Corporation announced a share repurchase program on February 14, 2023, authorizing the repurchase of up to $15 million worth of its Class A common stock.
- The program is set to expire on January 26, 2027.
Share Issuance
- Boxlight had a reverse stock split with a ratio of 1:5 on February 18, 2025.
- The number of shares outstanding increased by 26.50% in one year.
- Boxlight announced the pricing of a $4 million registered direct offering of common stock.
Outbound Investments
- On April 17, 2020, Boxlight Inc. acquired substantially all the assets and assumed certain liabilities of MyStemKits Inc., a business developing and distributing 3D printable STEM curriculums and owning rights to Robo 3D branded 3D printers for the education market.
- Effective March 12, 2019, the Company entered into an asset purchase agreement with Modern Robotics Inc. (MRI).
Capital Expenditures
- Boxlight's projected capital expenditures are $1 million annually from 2025 to 2029.
- Historically, capital expenditures were 1 in 2020 and 1 in 2021 (values in millions of USD).
Latest Trefis Analyses
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| DASHBOARDS | ||
| Boxlight Earnings Notes | ||
| Is Boxlight Stock Built to Withstand More Downside? | Return |
| Title | |
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| ARTICLES |
Trade Ideas
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Research & Analysis
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Peer Comparisons for Boxlight
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Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 4.23 |
| Mkt Cap | 0.0 |
| Rev LTM | 61 |
| Op Inc LTM | -21 |
| FCF LTM | -4 |
| FCF 3Y Avg | 8 |
| CFO LTM | -4 |
| CFO 3Y Avg | 9 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 12.8% |
| Rev Chg 3Y Avg | -15.0% |
| Rev Chg Q | -19.2% |
| QoQ Delta Rev Chg LTM | -3.1% |
| Op Mgn LTM | -60.6% |
| Op Mgn 3Y Avg | -40.2% |
| QoQ Delta Op Mgn LTM | -2.2% |
| CFO/Rev LTM | -23.5% |
| CFO/Rev 3Y Avg | 39.4% |
| FCF/Rev LTM | -24.0% |
| FCF/Rev 3Y Avg | 38.0% |
Price Behavior
| Market Price | $3.24 | |
| Market Cap ($ Bil) | 0.0 | |
| First Trading Date | 11/30/2017 | |
| Distance from 52W High | -61.4% | |
| 50 Days | 200 Days | |
| DMA Price | $1.22 | $1.68 |
| DMA Trend | down | down |
| Distance from DMA | 166.6% | 92.4% |
| 3M | 1YR | |
| Volatility | 790.1% | 536.4% |
| Downside Capture | 834.83 | 322.38 |
| Upside Capture | 564.93 | 336.42 |
| Correlation (SPY) | 17.7% | 8.2% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 5.07 | 3.27 | 5.62 | 3.70 | 1.62 | 1.48 |
| Up Beta | 7.58 | 5.52 | 2.21 | 2.37 | 0.63 | 0.83 |
| Down Beta | 5.59 | 4.49 | 4.92 | 4.52 | 0.93 | 0.92 |
| Up Capture | 4% | -152% | 371% | 174% | 260% | 149% |
| Bmk +ve Days | 12 | 25 | 38 | 73 | 141 | 426 |
| Stock +ve Days | 6 | 11 | 20 | 50 | 104 | 330 |
| Down Capture | 578% | 407% | 499% | 314% | 158% | 111% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 11 | 27 | 38 | 68 | 132 | 391 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of BOXL With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| BOXL | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 68.4% | 3.1% | 14.7% | 67.3% | 6.8% | -0.5% | -16.6% |
| Annualized Volatility | 532.8% | 24.7% | 19.7% | 19.3% | 15.2% | 17.6% | 35.4% |
| Sharpe Ratio | 1.14 | 0.07 | 0.57 | 2.54 | 0.23 | -0.18 | -0.25 |
| Correlation With Other Assets | 5.4% | 8.2% | 11.9% | -8.0% | -3.9% | 11.2% | |
ETFs used for asset classes: Sector ETF = XLY, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Comparison of BOXL With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| BOXL | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -45.4% | 10.2% | 15.0% | 18.9% | 11.8% | 5.1% | 35.8% |
| Annualized Volatility | 248.5% | 23.8% | 17.1% | 15.5% | 18.7% | 18.9% | 48.9% |
| Sharpe Ratio | 0.29 | 0.39 | 0.71 | 0.98 | 0.51 | 0.18 | 0.63 |
| Correlation With Other Assets | 9.5% | 10.1% | 7.7% | -1.3% | 2.9% | 9.8% | |
ETFs used for asset classes: Sector ETF = XLY, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of BOXL With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| BOXL | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -43.5% | 13.3% | 14.9% | 14.9% | 6.7% | 5.5% | 69.9% |
| Annualized Volatility | 220.6% | 22.0% | 18.0% | 14.8% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 0.30 | 0.56 | 0.71 | 0.84 | 0.30 | 0.23 | 0.90 |
| Correlation With Other Assets | 8.8% | 8.6% | 4.9% | 0.8% | 4.6% | 7.5% | |
ETFs used for asset classes: Sector ETF = XLY, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 11/6/2025 | -14.5% | -19.6% | -41.3% |
| 8/13/2025 | -6.7% | -17.7% | -12.9% |
| 3/28/2025 | -8.8% | -20.0% | 0.0% |
| 11/13/2024 | -1.5% | -17.6% | -15.7% |
| 8/7/2024 | -4.1% | -7.5% | -10.6% |
| 3/13/2024 | -17.5% | -18.1% | -33.4% |
| 10/31/2023 | 1.2% | 2.4% | -36.9% |
| 7/24/2023 | 0.9% | 6.8% | -13.2% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 6 | 8 | 4 |
| # Negative | 13 | 11 | 15 |
| Median Positive | 3.1% | 7.4% | 16.4% |
| Median Negative | -8.8% | -17.8% | -23.4% |
| Max Positive | 10.2% | 21.7% | 30.0% |
| Max Negative | -17.5% | -20.0% | -41.8% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 9302025 | 11142025 | 10-Q 9/30/2025 |
| 6302025 | 8132025 | 10-Q 6/30/2025 |
| 3312025 | 5142025 | 10-Q 3/31/2025 |
| 12312024 | 3282025 | 10-K 12/31/2024 |
| 9302024 | 11142024 | 10-Q 9/30/2024 |
| 6302024 | 8132024 | 10-Q 6/30/2024 |
| 3312024 | 5082024 | 10-Q 3/31/2024 |
| 12312023 | 3142024 | 10-K 12/31/2023 |
| 9302023 | 11082023 | 10-Q 9/30/2023 |
| 6302023 | 8092023 | 10-Q 6/30/2023 |
| 3312023 | 5102023 | 10-Q 3/31/2023 |
| 12312022 | 3172023 | 10-K 12/31/2022 |
| 9302022 | 11092022 | 10-Q 9/30/2022 |
| 6302022 | 8112022 | 10-Q 6/30/2022 |
| 3312022 | 5162022 | 10-Q 3/31/2022 |
| 12312021 | 4132022 | 10-K 12/31/2021 |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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