One idea,
new <- ifelse(gsub('.*\s+', '', DF$Revenue) == 'bn',
as.numeric(gsub('[A-Za-z]', '', DF$Revenue))*1000, DF$Revenue)
new[!grepl('Mn', new)] <- paste(new[!grepl('Mn', new)], 'Mn', sep = ' ')
DF$Revenue <- new
DF
# Brands Revenue
#1 A 50100 Mn
#2 B 41200 Mn
#3 C 32.5 Mn
#4 D 15100 Mn
To do the opposite then,
new <- ifelse(gsub('.*\s+', '', DF$Revenue) == 'Mn',
as.numeric(gsub('[A-Za-z]', '', DF$Revenue))/1000, DF$Revenue)
new[!grepl('bn', new)] <- paste(new[!grepl('bn', new)], 'bn', sep = ' ')
DF$Revenue <- new
DF
# Brands Revenue
#1 A 50.1 bn
#2 B 41.2 bn
#3 C 0.0325 bn
#4 D 15.1 bn
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