MegaStudyEdu
Logotype for MegaStudyEdu Co Ltd

MegaStudyEdu (215200) investor relations material

MegaStudyEdu Q2 2026 earnings summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
Logotype for MegaStudyEdu Co Ltd
Q2 2026 earnings summary14 Aug, 2026

Executive summary

  • Delivered consolidated revenue of KRW 441.3 billion for H1 2026, up slightly from KRW 438.7 billion in H1 2025, with net income attributable to owners at KRW 43.5 billion, down from KRW 85.3 billion in FY2025.

  • Operating income for H1 2026 was KRW 54.4 billion, compared to KRW 58.9 billion in H1 2025.

  • Interim cash dividend of KRW 1,000 per share was declared, totaling KRW 10.35 billion.

Financial highlights

  • Gross profit for H1 2026 reached KRW 248.1 billion, with a gross margin of 56.3%.

  • Net income for H1 2026 was KRW 43.9 billion, with basic EPS of KRW 4,197.

  • Total assets at June 30, 2026, were KRW 955.8 billion, with total equity of KRW 527.6 billion.

  • Cash and cash equivalents at period end were KRW 43.8 billion.

Outlook and guidance

  • The company targets a 60% payout ratio of separate net income for 2024–2026 via dividends and share buybacks.

  • Ongoing focus on operational efficiency, digital transformation, and expansion in AI/EdTech and lifelong learning sectors.

Partial view of Summaries dataset, powered by Quartr API
AI can get things wrong. Verify important information.
Research faster. Power your platform.

Next MegaStudyEdu earnings date

Logotype for MegaStudyEdu Co Ltd
Q3 202620 Nov, 2026
MegaStudyEdu
Cover every name on your watchlist this earnings season.
Automations, AI chat, and live calls across 16,000+ companies.
Book demo

Next MegaStudyEdu earnings date

Logotype for MegaStudyEdu Co Ltd
Q3 202620 Nov, 2026

AI chat

Ask anything. Verify everything.

Ask across every event and document from public companies. Each answer links back to the exact line in the transcript, slide or filing it came from.Learn more

Find what matters

AI across all first-party IR material. Live calls, transcripts, slides, filings.
A cited source card from Adobe's CFO alongside a list of forward-looking statements

Trust every finding

50m+ first-party documents. Every output traceable to its source.

Automations

Zero in on what matters

Define the prompt once. It runs the moment a company publishes or on a schedule you set. Outputs map to the exact signals you choose.Learn more
An automation set to trigger on the first published earnings document for GE Aerospace

Event-triggered research

Runs when a company publishes new material. Trigger on the first published document for the earliest possible run, or wait for a specific one.
An automation scheduled to run weekly on Mondays at 09:00

Scheduled research

Runs on a recurring cadence you set. Daily, weekly, monthly, or quarterly, for aggregate reads across a period rather than a single event.

Live audio & transcripts

Be first

Join any earnings call live in one click, with no manual registration. Follow the transcript as it happens and jump straight to the moments that matter.Learn more
A live LVMH Q2 2026 earnings call playing in Quartr

Live earnings calls

Join any call in one click. The audio keeps playing while you work elsewhere in Quartr.
A live transcript excerpt from LVMH's Chairman and CEO Bernard Arnault

Live transcripts

Speaker-by-speaker, in real time. Searchable across every live and historical call.

Quartr MCP connects your AI environment to 17K+ public companies

Pull live transcripts, filings, and slides into Claude or Codex via MCP. Combine Quartr's global IR data with any other dataset. Run agentic research and monitoring.
Included with Quartr Pro at no extra cost.Learn more

Quartr's AI stands out because it only pulls clean, first-party data from public companies. In investing, that's everything.

Jamie Ross

Investment Manager, GAM Investments

GAM
GAM

Research that used to take hours now takes seconds with Quartr Pro. Tracking shifts in tone or extracting tables, it's as simple as typing a query.

Tom O'Hara

Investment Director

Ciena
Ciena

Before Quartr we spent hours manually compiling insights through the peer earnings cycle. Now, these tasks are done faster, with greater precision.

Gregg Lampf

VP of Investor Relations

Frequently asked questions