Density curve inferences 
I'm modeling the total revenue of sellers in a 1 year period. The distribution plot below shows quantity*price for each seller  with outliers eliminated. The outliers were taken out with IQR * 1.5 fences.
What you see below on the x-axis are z-score scaled values.
What is the best way to go about the analysis of this curve? and possible modeling of a regression fit?

You can use statistical normality tests to check whether your data follows a normal distribution.
The density on the plot doesn't look normal at all as the tail (the right part of the curve) is too heavy. Also, it cuts off abruptly at $-0.1$, while normal distributions tend to spread to the left and to the right more or less evenly. This looks like a Gamma distribution or some distribution with positive support that was shifted by $0.1$ into negative values.
It could also be a mixture distribution: the peak to the left could be a normal distribution (as part of the mixture), while the tail could be a couple of "flat", high-variance distributions.
