I don't think so because the month they finish is not related to how long they take. And for live reporting the data output changes this month if for instance next month a very long project finishes.
Split your projects into cohorts based on when they started. Then figure out for each cohort after 1, 2 .. N months, what proportion were completed. Plot those cumulative distributions and compare. If you want to assess significance then you do a chi-squared test.
Can't you just plot a scatter chart of start date (or end date) vs duration, and then add linear best fit line?