Extracting temporal relationships from multiple events in documents is a challenging task in information extraction. Previous methods primarily considered the event pair as the basic unit for processing, ignoring holistic connection among all events and background information remaining in the rest text. To address these issues, we introduce the Multi-Event Temporal Ranking (MEtR) method by simultaneously ranking all events within a document from a holistic perspective. We design order loss functions for MEtR, and experimental results demonstrate their superior performance compared to baseline methods across different settings ( https://github.com/cadsad-dlut/metr .)