ProtoPROTO CORPORATION


News ReleaseNews Release

October 13, 2017
Revision of Earnings Forecasts for the Six Months Ending September 30, 2017

 PROTO CORPORATION (the "Company") hereby revises its earnings forecasts for the six months ending September 30, 2017, as announced on September 14, 2017.


1. Revision of Consolidated Earnings Forecast for the Six Months Ending September 30, 2017

(April 1, 2017 - September 30, 2017)

  Net Sales Operating
Income
Ordinary
Income
Net income
attributable to
owners of parent
Net Income
per Share
Previous Forecast (A) Million yen Million yen Million yen Million yen Yen
29,370 1,917 2,056 1,216 60.64
Revised Forecast (B) 29,387 1,804 1,959 861 42.94
Amount of Change (B)−(A) 17 (113) (97) (355)
Percentage of Change (%) 0.1 (5.9) (4.7) (29.2)
(Reference)
Results for the Six Months
Ended September 30, 2016
26,399 1,338 1,306 702 34.93

2. Reason of the Revision

As for the consolidated earnings forecast for the first and second quarter of this term, operating and ordinary incomes are estimated to be lower than the previously announced estimates, mainly because cost of sales exceeded the estimate due to the difference in estimated term-end inventory of the group company that sells tires and wheels.
In addition, in the segment of other businesses, considering the situation in which the performance of the experimentally operating agricultural business is estimated to be poorer than the forecast, an impairment loss of fixed assets related to said business amounting to 336 million yen was included in extraordinary losses, and so net income attributable to owners of parent is estimated to be lower than the previously announced estimate.

The full-year consolidated earnings forecast is now under review, and if it becomes necessary to revise the earnings forecast, we will disclose it swiftly.

  • Note: The forecasted values written in this document were produced based on the available information as of the release date of this document, and so actual business performance may be different from the forecasted values due to various factors.



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