Harima-Kyowa
Logotype for Harima-Kyowa Co LTD

Harima-Kyowa (7444) investor relations material

Harima-Kyowa Q2 2027 earnings summary

Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
Logotype for Harima-Kyowa Co LTD
Q2 2027 earnings summary10 Nov, 2026

Executive summary

  • H1 FY2027 revenue rose 12.1% YoY to ¥34,115 million, while operating, ordinary and net income declined amid higher costs, including depreciation at the new logistics center.

  • Full-year guidance and dividend forecast remain unchanged; annual dividend is ¥60 per share.

Financial highlights

  • H1 revenue was ¥34,115.9 million, up 12.1% YoY; gross profit was ¥4,077.7 million versus ¥3,881.1 million a year earlier.

  • Operating income was ¥932.6 million, down 18.3% YoY; ordinary income was ¥1,018.3 million, down 31.1%; net income attributable to owners was ¥653.6 million, down 34.0%.

  • EPS was ¥121.42, versus ¥183.88 in H1 FY2026.

Outlook and guidance

  • FY2027 guidance: revenue ¥64,000 million (+6.9% YoY), operating income ¥1,700 million (+0.4%), ordinary income ¥1,800 million (-13.6%), and net income ¥1,230 million (-18.7%).

  • Forecast EPS is ¥228.51; annual dividend forecast is ¥60 per share, with no changes to the published outlook.

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

Next Harima-Kyowa earnings date

Logotype for Harima-Kyowa Co LTD
Q3 20279 Feb, 2027
Harima-Kyowa
Cover every name on your watchlist this earnings season.
Automations, AI chat, and live calls across 16,000+ companies.
Book demo

Next Harima-Kyowa earnings date

Logotype for Harima-Kyowa Co LTD
Q3 20279 Feb, 2027

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