Worth reading
71In focus
0–100. This measures how worthwhile something is to read, not how good or bad the company is.Direction
Improvement
Direction inferred from the company’s description.Scale
5848044
¥ thousand (revenue for the nine months ended December 2026)Wording
Conditional
How definitive the wording is.Contents of this document
Supplementary materials to the earnings summaryQ3 FY20267 items taken from the company’s own explanation
Financial Results Figures (The key points of this material are explained below)
Net Sales¥5,848,044 thousand+216.4%
Operating profit¥453,992 thousand+432.2%
Ordinary income¥302,718 thousand+387.7%
Net income¥-133,679 thousand
Gross Profit Margin43.9
Operating profit margin7.8
Results for the three months of the current quarter
Net Sales
¥2,496,554 thousand
Gross margin
¥1,095,043 thousand
Gross Margin
43.9 %
Operating profit
¥182,193 thousand
Operating profit margin
7.3 %
Ordinary income
170,000 Approximately ¥170 million
Net income
58,000,000 Approximately ¥58 million
Full-year earnings forecast
Net Sales
¥8,560,000 thousand
Enterprise AI Solutions
¥5,350,000 thousand
AI Workflow Engineering
¥2,250,000 thousand
DATA & AI Engine
¥960,000 thousand
Operating profit
¥755,000 thousand
Operating profit margin
8.8 %
Progress against full-year forecast 通期の予想に対して、いまどこまで進んだかの割合です。
Net Sales68.4
Enterprise AI Solutions75.2
AI Workflow Engineering53
DATA & AI Engine65.2
Operating profit60.3
Ordinary income48.9
What the company explained in this material
Breakdown of Factors Affecting the ChangeReasons cited by the Company for the change in the figures.
4Q operating profit required
3Q operating profit
¥182.1 million
Roll-off of one-time expenses
¥32.75 million
Gross profit increase from higher sales
¥72 million
Other (SG&A expenses and productivity)
¥13 million
Operating profit required in Q4
¥299.9 million
Assumptions Underlying the Business OutlookThe assumptions used by the company in preparing its forecast.
4Q revenue
¥2,650,000 thousand
Gross Margin
43.9 %
4Q one-time expensesIf it does not recur
New initiatives
- Launch of SDI Agentic AI role-playing
- Launch of SyncLect Agentic Migration Harness
- Launch of SyncLect Agent Garden
- Launch of SyncLect Silver Data Coordinator
- Launch of DataPark
- Establishment of Data & Agent Lab through collaboration with Databricks
- Entry into the agentic security market
- Deployment of Physical AI Harness
- Receipt of the Microsoft Top Partner Engineer Award 2026
- Obtaining Azure certification
- System development for the new television-based counter service of Resona Bank and Saitama Resona Bank
Key KPIsA metric the company considers important as a management benchmark.
- EBITA¥258 million
- EBITA margin10.3 %
- Personnel637 PeopleYear on year against the same period last year+334.0%
- Customer Base209 companies
- Revenue per customer¥9,532 thousand
- Equity ratio58.7 %
- Cash and deposits¥20.7 100 million
- Current ratio157.3 %
Unit price and quantity metricsThese figures show sales broken down by price and volume.
Company-wide
Customer Base
209 companies
Revenue per customer
¥9,532 thousand
Quarter-on-quarter_pct7
Enterprise AI Solutions
Customer Base
99 companies
Revenue per customer
¥13,048 thousand
AI Workflow Engineering
Customer Base
126 companies
Revenue per customer
¥5,559 thousand
Monthly sales per person
¥1,306 thousand
YoY_pct (same quarter)11.6
Segment results
Enterprise AI Solutions
Net Sales
¥4,134,856 thousand
Year on year against the same period last year+157.8%
Standalone 3Q revenue
¥1,291,798 thousand
Q3 operating margin
10.3 %
AI Workflow Engineering
Net Sales
¥1,397,621 thousand
Year on year against the same period last year+469.7%
Standalone 3Q revenue
¥700,479 thousand
Q3 operating margin
5.3 %
DATA & AI Engine
Net Sales
¥884,595 thousand
Standalone 3Q revenue
¥504,277 thousand
Q3 operating margin
-5.2 %
Number of employees
Number of Employees637 People
Change during the period±0 people from the previous quarter
| Item | Details |
|---|---|
| Document type | Supplementary materials to the earnings summary |
| Fiscal Period Covered | Q3 FY2026 |
| Net Sales | ¥5,848,044 thousand (YoY +216.4%) |
| Operating profit | ¥453,992 thousand (YoY +432.2%) |
| Ordinary income | ¥302,718 thousand (YoY +387.7%) |
| Net income | ¥-133,679 thousand |
| Gross Profit Margin | 43.9 |
| Operating profit margin | 7.8 |
| Results for the three months of the current quarter | Net Sales ¥2,496,554 thousand / Gross margin ¥1,095,043 thousand / Gross Margin 43.9 % / Operating profit ¥182,193 thousand / Operating profit margin 7.3 % / Ordinary income 170,000 Approximately ¥170 million / Net income 58,000,000 Approximately ¥58 million |
| Full-year earnings forecast | Net Sales ¥8,560,000 thousand / Enterprise AI Solutions ¥5,350,000 thousand / AI Workflow Engineering ¥2,250,000 thousand / DATA & AI Engine ¥960,000 thousand / Operating profit ¥755,000 thousand / Operating profit margin 8.8 % |
| Progress against full-year forecast | Net Sales 68.4 / Enterprise AI Solutions 75.2 / AI Workflow Engineering 53 / DATA & AI Engine 65.2 / Operating profit 60.3 / Ordinary income 48.9 / Net income Not disclosed |
| Segment results | Enterprise AI Solutions Net Sales ¥4,134,856 thousand / yoy_pct 157.8 / Standalone 3Q revenue ¥1,291,798 thousand / Q3 operating margin 10.3 % / AI Workflow Engineering Net Sales ¥1,397,621 thousand / yoy_pct 469.7 / Standalone 3Q revenue ¥700,479 thousand / Q3 operating margin 5.3 % / DATA & AI Engine Net Sales ¥884,595 thousand / yoy_pct Not disclosed / Standalone 3Q revenue ¥504,277 thousand / Q3 operating margin -5.2 % |
| Breakdown of Factors Affecting the Change | 4Q operating profit required 3Q operating profit ¥182.1 million / Roll-off of one-time expenses ¥32.75 million / Gross profit increase from higher sales ¥72 million / Other (SG&A expenses and productivity) ¥13 million / Operating profit required in Q4 ¥299.9 million |
| Key KPIs | EBITA ¥258 million, EBITA margin 10.3 %, Personnel 637 People, Customer Base 209 companies, Revenue per customer ¥9,532 thousand, Equity ratio 58.7 %, Cash and deposits ¥20.7 100 million, Current ratio 157.3 % |
| Unit price and quantity metrics | Company-wide Customer Base 209 companies / Revenue per customer ¥9,532 thousand / Enterprise AI Solutions Customer Base 99 companies / Revenue per customer ¥13,048 thousand / AI Workflow Engineering Customer Base 126 companies / Revenue per customer ¥5,559 thousand / Monthly sales per person ¥1,306 thousand |
| Number of employees | Number of Employees 637 People / Change during the period ±0 people from the previous quarter / Hiring plan Not disclosed |
| Assumptions Underlying the Business Outlook | 4Q revenue ¥2,650,000 thousand / Gross Margin 43.9 % / 4Q one-time expenses If it does not recur |
| New initiatives | Launch of SDI Agentic AI role-playing, Launch of SyncLect Agentic Migration Harness, Launch of SyncLect Agent Garden, Launch of SyncLect Silver Data Coordinator, Launch of DataPark, Establishment of Data & Agent Lab through collaboration with Databricks, Entry into the agentic security market, Deployment of Physical AI Harness, Receipt of the Microsoft Top Partner Engineer Award 2026, Obtaining Azure certification, System development for the new television-based counter service of Resona Bank and Saitama Resona Bank |
Items this document does not state (13)
Selling, general and administrative expensesSelf-assessment against the planNumber of stores and locationsRisk amount incorporated into the outlookMedium-term management plan targetsFinancial targetsAnnual DividendPayout ratioAcquisition of treasury sharesCapital expendituresOrders received and order backlogMarket Size / ShareKey points of the Q&A
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.Higher customer spending in the enterprise AI solutions business, together with expansion while advancing PMI in AI workflow engineering and the DATA & AI engine businesses, contributed to performance. Operating income benefited from revenue growth outpacing the increase in SG&A expenses, as well as productivity improvements through the use of AI-driven development and digital employees. The cumulative net loss was primarily due to a temporary ¥207 million loss on acquisition recorded in the second quarter.
How to read this page
This is not the documentKomori reads the disclosure the company filed and writes this summary. Figures are as stated by the company and are not audited.
Weight is not a verdictIt measures how much this changes what the company had already told the market. It is not a view on the shares.
Corrections happenIf the company reissues this disclosure, the page is rebuilt from the corrected version and the revision number moves up.