I disagree. IME, the numbers are entirely useful, as one small part, of analyzing a business’s productivity and/or profit. By themselves, they tell one small part of the overall story, and when combined with other ratios, tell the complete story.
Revenue per Employee
When all employees are considered, this may be useful as an internal performance metric for this plant, and may be compared to other Con Agra Plants that make Peanut Butter. Further, outside organiaztions publish data like this—both trade groups and companies like Robert Morris Associates or McGraw-Hill, etc. This may be useful in comparing this plant with industry productivity norms.
If the employees work varying levels of overtime, changing this to Revenue per Full Time Equivalent (FTE) (Total payroll hours worked divided by 40) may be a better measure of productivity.
Revenue per Direct Employee (or Direct FTE)
“Direct” employees, as part of “Direct Costs” or “Cost of Goods Sold”, are the employees (or hours) spent directly used in making peanut butter. If Revenue per [overall] Employee is a macro view, Revenue per [direct] employee is more of a micro view. It’s not more useful, just useful in a different way. It is a finer detail view of the direct costs and it’s productivity. Revenue per Direct Employee is one of 2 parts; the other being,
Revenue per SG&A Employee (or SG&A FTE)
Most P&Ls are structured with categories called Sales, General and/or Administrative (SG&A); commonly called “overhead.” If overall revenue is compared to Revenue per SG&A Employee , I can determine how efficient (productive) labor is.
The real value in these numbers comes into play when they can be compared to an established benchmark and a trend can be established.
Examples:
- Where do my numbers compare to other Con Agra plants?
- What about other peanut butter manufacturers?
- Where do they compare to our own plant’s history?
- If revenue grows at 10%, is revenue per employee (by any measure listed above) growing at 10% (or better) as well? If not, then costs are growing at a rate greater than sales growth; a red flag that productivity is lagging.
- Comparing the ratios, I can see how much operations is needed (or is being used) to support SG&A. Over time, I can determine if the overhead structure is productive or bloated.
- Compared to other plants (and as a less useful metric, other industries) it tells me [loosely] how labor intensive the company is. This company would appear to be highly automated, and perhaps less vulnerable to labor issues. (and perhaps more vulnerable to other things, like capital investment needs)
A commonly used variation of this is “Sales Per Man Hour” (SPMH) (as a cousin of Sales per Employee and Sales per FTE) which is used in many industries, including service companies, small businesses, and restaurants, for example.
No one ratio tells you everything. You use several as part of comprehensive analysis of the business, month to month, and quarter to quarter. But if I was the manager of this plant, I would want this information.