Okay. Sure. The revenue, we tend to give you that one year at a time. And we say, we're going to be -- we are a growth company. And I don't want to get too far ahead of myself on that. But, when you look at the year we came off of, this one is 59%, a significant number. I don't think I'll have -- we'll see that next year, but who knows? And I say that tongue in cheek. But, the restructuring, it’s been a hobby horse of ours for some time. And we've done these acquisitions. And they're very effective and they're accretive. But, I don't believe we've really leveraged our scale and size. And it's something we've been talking with our senior staff about. We've been making material investments in systems that really help improve the efficiency. So, this -- and right now, very candidly, there is a demand for healthcare employees and workers. So, considering the -- taking this action, we're doing at a time when -- we believe individuals will be able to find and they're getting lots of support. There's $69 million of severance we built in there for everybody. So, we're going to be very supportive of that. But, this is just the case at time now -- every time we brought some people, we would come and say we just added this, I need 5, 10, 15 more employees. And we've cut back. As we looked at it in legal and other areas, we have found that as we've gotten into our scale and size, and we've hired more confident people, we've been able to reduce the numbers. So, this is something we wanted to do for some time. And it reflects in combination with canceled positions, about 6% of our workforce, which we think is material. And a lot of it is going to be improved technology that’s going to give us -- I gave an example. I know I'm getting longwinded, but I want to give you an example. We talked about how we just tested in Florida that when something is preauthorized and then the claim comes in, the nurses have to look at it and make sure it was justified. Well, we now have artificial intelligence. What used to take them 18 minutes to look at the claims, can now be done in 3.5 seconds. Now, if it says, no, it's not qualified, then we still want an individual to review it. You don't say no just primarily as we get experience with the AI. But, that's the kind of thing that improves the efficiency and service, and that the claim gets paid faster, et cetera. That's where we're headed, and that's why the reduction in force. Longwinded answer, I hope it answers it for you.