Outcome variable not working when changed into a logarithmic function

Question

I am conducting a staggered difference-in-difference analysis utilizing a very large dataset of companies with the outcome variable of profit (gp). This works fine but I now want to change the variable into a logarithmic variable, turning it into a log function titled log_gp_. The problem is that when I try to create a data.frame with the log_gp_ variable it turns over this message:

"Some variables were removed due to low variation, inadequate data needed for calculation: log_gp_"

Do you have any ideas as to why this error occurs and possibly how to fix it?

The following code works fine for me when I have just 'gp' as the covariate but not here as my covariate is 'log_gp'

rev_trends <- data.frame(est = get_covariate_balance(comb$att,
                                                    data = new,
                                                    covariates = c("log_gp"),
                                                    plot = F,
                                                    use.equal.weights = F),
                        time = -6:3)

ggplot(rev_trends, aes(x = time, y = log_gp)) +
  geom_line() +
  geom_point(size = 1) +
  theme_classic() +
  #scale_y_continuous(limits = c(0,0.6)) +
  scale_x_continuous(breaks = -6:3,
                     labels = as.character(c(-6:1,
                                             "0\n(Company\nPolitican)"))) +
  labs(x = "Years Until Politician",
       y = "Profit Gap Between Treatment\nand Control Companies") +
  geom_hline(yintercept = 0, lty = 3)