Upfront Organizational Expansion Costs in the Healthcare Big Data Business
First written in FY2017-Q1. 5 of 9 entries say "Worsened", first in FY2017. Latest entry: FY2020.
Japan System Techniques moved to the "Worse" side of this theme in 2017, 4 years before the typical company in this theme (2021).
The whole theme swung hardest in 2017: 6 of 20 companies on the "Worse" side.
1 other company's latest entry also says "Dropped".
- FY2020DroppedAnnual report
「In the healthcare big data business (review and analysis of medical information data and related services), the automated claims review service and the medical expense notification service, among others, performed steadily, resulting in revenue of ¥1,313 million, up 34.3% year on year, and operating profit of ¥93 million, compared with an operating loss of ¥95 million in the previous fiscal year.」
The previously noted upfront costs such as organizational expansion were no longer mentioned, and the healthcare big data business had turned to operating profit. - FY2019WorsenedAnnual report
「Due to upfront costs such as organizational expansion, revenue was ¥977 million, up 0.3% year on year, and the operating loss was ¥95 million, compared with an operating loss of ¥12 million in the previous fiscal year.」
Upfront costs such as organizational expansion continued, and the operating loss widened from ¥12 million in the previous year to ¥95 million. - FY2019-Q3WorsenedAnnual report
「Although the automated claims review service and the analysis and medical expense notification service performed steadily, due to upfront costs such as organizational expansion, revenue was ¥607 million, up 5.0% year on year, and the operating loss was ¥126 million, compared with an operating loss of ¥58 million in the same period of the previous year.」
Upfront costs such as organizational expansion continued, and the operating loss widened from ¥58 million in the same period of the previous year to ¥126 million. - FY2019-Q2WorsenedAnnual report
「Finally, in the medical big data business (inspection and analysis of medical information data and related services), the automated claims inspection service and analytical and medical expense notification services performed solidly. However, costs associated with strengthening the organization and other measures preceded the increase in revenue, resulting in revenue of ¥382 million, up 1.6% year on year, and an operating loss of ¥103 million, compared with an operating loss of ¥36 million in the same period of the previous year.」
Upfront costs such as organizational expansion continued, and the operating loss widened from ¥36 million in the same period of the previous year to ¥103 million. - FY2019-Q1WorsenedAnnual report
「Although the automated claims review service and the analysis and medical expense notification service performed steadily, due to upfront costs such as organizational expansion, revenue was ¥178 million, up 8.2% year on year, and the operating loss was ¥65 million, compared with an operating loss of ¥29 million in the same period of the previous year.」
Upfront costs such as organizational expansion continued, and the operating loss widened from ¥29 million in the same period of the previous year to ¥65 million. - FY2017WorsenedAnnual report
「Lastly, in the healthcare big data business (review and analysis of medical information data and related services), revenue remained steady due to the expansion of the automated claims review service, cloud services for claims review providers, analysis and medical expense notification services, and data health plan support services, among others. However, due to upfront costs such as organizational expansion for future growth, revenue was ¥774 million, up 32.5% year on year, and the operating loss was ¥45 million, compared with an operating loss of ¥26 million in the previous fiscal year.」
Upfront costs such as organizational expansion continued, and the operating loss widened from ¥26 million in the previous fiscal year to ¥45 million. - FY2017-Q3RestatedAnnual report
「Finally, in the medical big data business (inspection and analysis of medical information data and related services), revenue remained firm as services were expanded beyond the automated claims inspection service to include cloud services for inspection providers, analytical and medical expense notification services, data health plan support services and others. However, costs associated with strengthening the organization in anticipation of future growth preceded the increase in revenue, resulting in revenue of ¥504 million, up 35.6% year on year, and an operating loss of ¥64 million, compared with an operating loss of ¥48 million in the same period of the previous year.」
The upfront costs associated with organizational expansion in anticipation of future growth continued to be noted, and the operating loss was ¥64 million. - FY2017-Q2RestatedAnnual report
「Due to upfront costs associated with organizational expansion in anticipation of future growth, revenue was ¥333 million, up 43.2% year on year, and the operating loss was ¥43 million, compared with an operating loss of ¥42 million in the same period of the previous year.」
The upfront costs associated with organizational expansion and the operating loss continue to be noted. - FY2017-Q1First statedAnnual report
「Due to upfront costs associated with organizational expansion in anticipation of future growth, revenue was ¥157 million, up 58.7% year on year, and the operating loss was ¥32 million, compared with an operating loss of ¥31 million in the same period of the previous year.」
Costs for organizational expansion in anticipation of future growth were incurred ahead of revenue, resulting in an operating loss despite revenue growth.