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If You Invested in Instructure (INST)

Services-prepackaged Software · Software Publishers · NYSE
Looking for the current price? See the INST quote & overview
$1,000 invested 1 Year Ago
N/A
Trading since 2015-11-13
$1,000 invested 5 Years Ago
$1,012
+1.2% total 0.4% CAGR
Bought on Aug 24, 2021 at $23.33

What $1,000 or $10,000 in INST Would Be Worth Now

Real historical value by amount invested and how long ago
If you invested 1 year ago 5 years ago 10 years ago Since Nov 13, 2015
$1,000 $1,012 +1% $987 -1% $1,311 +31%
$10,000 $10,116 +1% $9,866 -1% $13,111 +31%

Based on real historical closing prices, dividend- and split-adjusted, through 2024-11-12. Past performance does not guarantee future results.

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$1,000 Investment Over Time

INST vs S&P 500

Year-by-Year Returns

INST annual performance
Year Start Price End Price Annual Return Cumulative
2015 $18.00 $20.82 +15.7% +15.7%
2016 $22.31 $19.55 -12.4% +8.6%
2017 $19.80 $33.10 +67.2% +83.9%
2018 $33.35 $37.51 +12.5% +108.4%
2019 $37.92 $48.21 +27.1% +167.8%
2020 $48.02 $49.00 +2.0% +172.2%
2021 $20.98 $23.98 +14.3% +33.2%
2022 $23.81 $23.44 -1.6% +30.2%
2023 $25.28 $27.01 +6.8% +50.1%
2024 $26.00 $23.60 -9.2% +31.1%

About Instructure

Services-prepackaged Software · NYSE

Instructure Holdings, Inc. (historically trading under the symbol INST) is described in its public communications as a leading global learning ecosystem that powers the delivery of education and provides learners with credentials that help create opportunities across their lifetimes. According to multiple company releases, the Instructure ecosystem of products is built to enable educators and institutions to elevate student success, amplify the power of teaching and inspire collaborative learning across K–12, higher education and workforce environments.

Instructure states that its products have impacted approximately 200 million learners across more than 100 countries and that it works with a large network of partners and customers. The company emphasizes a vision to be the platform that powers learning for a lifetime, turning education and skills into opportunities for learners at every age and stage.

Learning technology ecosystem and Canvas LMS

Instructure describes itself as the maker of Canvas and the Canvas Learning Management System (LMS), which it calls a core part of a broader learning technology ecosystem. Canvas is presented in company materials as a platform used across K–12 schools, higher education institutions and professional learning programs to support teaching, learning, assessment and engagement in digital and hybrid environments.

The company highlights that Canvas is selected by institutions seeking intuitive, interoperable and future-focused platforms that can evolve with changing learner and faculty needs. Instructure communications point to features such as modern user interfaces, integration capabilities, data and analytics support, mobile performance and a community-centered approach as reasons institutions adopt Canvas as part of long-term digital learning strategies.

Future-ready, AI-augmented learning

Instructure repeatedly characterizes its ecosystem as future-ready, with a focus on helping learners thrive in a perpetually changing world. A key theme in recent announcements is the integration of artificial intelligence (AI) into the Canvas environment and related offerings, with an emphasis on privacy, transparency and pedagogical value.

The company has introduced IgniteAI as an AI layer within its learning ecosystem. According to Instructure, IgniteAI is designed as a secure, in-context AI environment that supports educators with tasks such as rubric generation, content alignment and grading, while also providing analytics-driven insights into student engagement. Instructure positions this AI approach as education-first, open and outcomes-focused, aiming to reduce instructor workload and support more equitable and consistent instructional practices.

Instructure also describes work on LLM-enabled assignments, which allow educators to embed conversational learning assistants directly into assignments. These tools are intended to capture evidence of learning and provide feedback within the Canvas environment, while giving instructors visibility into how students interact with AI as part of the learning process.

Privacy, transparency and open ecosystem

Across its AI-related communications, Instructure stresses a privacy-first framework and transparency around how AI is used. The company describes a closed-loop system in which AI interactions occur within the institution’s environment, with data not shared with external model providers for training. Institutions are described as maintaining control over AI feature activation at institutional, departmental or course levels.

To address concerns about opaque AI systems, Instructure has introduced “AI Nutrition Facts” labels that, according to its releases, are applied to its AI features. These labels are intended to clarify which models are in use, what data is accessed and how privacy is protected, and the company encourages partners to adopt similar transparency practices.

Instructure also characterizes its platform as an open ecosystem, referencing interoperability, integrations and alignment with open standards. Company materials note a large network of edtech partners and describe efforts to connect with multiple learning tools, data systems and AI providers as part of a broader educational technology ecosystem.

Support for K–12, higher education and workforce learning

Instructure’s public descriptions emphasize that its ecosystem supports K–12 schools, higher education institutions and workforce or professional learning programs. The company highlights use cases ranging from traditional academic programs to non-credit, continuing education and workforce development initiatives.

In this context, Instructure has announced Canvas Career, which it describes as a skills-first, AI-powered learning experience aimed at non-credit, continuing education and workforce development programs. Canvas Career is presented as being built for working adults, career switchers and employer-sponsored learners, with capabilities for flexible delivery, skills-based learning programs and visibility into skill development and program outcomes. The company positions Canvas Career as part of its broader ecosystem and as aligned with its focus on career readiness and lifelong learning.

Research, policy and credentialing focus

Instructure communications also describe work at the intersection of AI, credentialing and education policy. The company has released survey-based reports on topics such as AI adoption in higher education for outcomes tracking and the implementation of digital credentials and comprehensive learner records. These studies highlight both interest in AI and credentialing and the challenges institutions face around data privacy, academic integrity, training and infrastructure.

In addition, Instructure has introduced an Education Policy Atlas that it describes as a resource outlining federal, state and funding guidelines for evidence requirements under the Every Student Succeeds Act (ESSA). The atlas is presented as a tool for K–12 districts, state education departments and edtech companies to understand evidence requirements for funding and to align edtech tools with those requirements.

Instructure also references credentialing solutions within its ecosystem, describing its role in providing learners with rich credentials that document skills and learning experiences across their lifetimes.

Partnerships and ecosystem expansion

Instructure’s public releases highlight partnerships that support its ecosystem strategy. These include collaborations with education associations and technology providers. For example, Instructure has partnered with organizations to conduct research on AI and credentialing in higher education and has announced a global partnership with an AI research and deployment company to embed AI learning experiences within the Canvas LMS.

Through these partnerships, Instructure presents itself as working alongside educators, institutions, industry partners and AI providers to shape the future of learning, with a focus on responsible AI use, interoperability and support for lifelong learning pathways.

Corporate structure and ownership changes

Historically, Instructure Holdings, Inc. was listed on the New York Stock Exchange under the symbol INST. In a transaction announced in July 2024 and completed in November 2024, investment funds managed by KKR, with participation from Dragoneer, acquired Instructure in an all-cash transaction valued at approximately $4.8 billion. Following completion of this acquisition, Instructure’s common stock ceased trading and the company is no longer listed on the New York Stock Exchange. Company communications describe this change as supporting Instructure’s plans for product innovation and worldwide growth as a privately held company.

Instructure’s own descriptions emphasize that, together with its network of learners, educators, partners and customers, it aims to broaden its platform and continue developing its learning ecosystem in line with its vision of powering learning for a lifetime.

Market Cap
$3.5B
Current Price
$23.60
View full INST overview

Frequently Asked Questions

Instructure investment returns

How much would $1,000 invested in Instructure be worth today?

If you invested $1,000 in Instructure (INST) 10 years ago on 2016-08-24, your investment would be worth $987 as of 2024-11-12, representing a -1.3% total return, growing at a compounded rate of -0.2% per year (CAGR).

Has Instructure outperformed the S&P 500?

Over the past 10 years, INST returned -1.3% compared to +303.1% for the S&P 500, underperforming the benchmark by 304.4 percentage points.

What is Instructure's average annual return?

The compound annual growth rate (CAGR) of INST over the past 10 years is -0.2%, growing at a compounded rate each year. Individual years vary significantly — INST's best recent year was 2017 (+67.2%) and worst was 2016 (-12.4%).

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