Number Of Employees (Historical)
Returns the historical number of employees for a company. This data is typically reported in annual reports and can show workforce growth or contraction over time.
Supported Symbols
| Type | Format | Example |
|---|---|---|
| US Stocks | SYMBOL | AAPL, MSFT |
| ETFs | SYMBOL | SPY, QQQ |
| International | SYMBOL | SHOP, TSM |
Parameters
| Parameter | Description |
|---|---|
| Symbol | Stock ticker symbol |
| Year | Fiscal year (2020, 2021) or period code (lq, ly, lt) |
| Quarter | Optional: 1, 2, 3, or 4 for quarterly data |
| TTM | Optional: Set to "TTM" for trailing twelve months |
Employee-Based Metrics
| Metric | Calculation |
|---|---|
| Revenue per Employee | Revenue / Employees |
| Profit per Employee | Net Income / Employees |
| Assets per Employee | Total Assets / Employees |
Notes
- Employee count includes full-time and often part-time workers
- Contractors may not be included
- Useful for productivity and efficiency analysis
Syntax
=hf_Number_of_employees(Symbol, Year, [Quarter], [TTM])Parameters
symbolstringRequired
Stock ticker symbol
yearstringRequired
Fiscal year or period code (lq, ly, etc.)
quarterstring
Calendar quarter (1-4)
TTMstring
Set to 'TTM' for trailing twelve months
Returns
number
Number of employees
Examples
=hf_Number_of_employees("AAPL", 2023)=hf_Number_of_employees("AMZN", 2023, 2)=hf_Number_of_employees("GOOGL", "ly")=hf_Number_of_employees("META", 2023, , "TTM")=hf_Number_of_employees(A1, B1, C1)When to Use
- Analyzing workforce growth trends
- Calculating revenue per employee
- Understanding company scaling
- Comparing efficiency across companies
- Tracking layoffs and hiring sprees
When NOT to Use
| Scenario | Use Instead |
|---|---|
| Need current count | Number_of_Employees() |
| Need labor costs | hf_Selling_General_and_Administrative_Expense() |
| Need compensation data | Manual research |
| Need contractor count | Not available |
Common Issues & FAQ
Why did Meta's employee count drop sharply?
Meta conducted significant layoffs in 2022-2023, reducing headcount substantially. This is visible in historical data.
Why is Amazon's count so high?
Amazon has a large warehouse and logistics workforce, making it one of the largest employers globally.
Why am I getting "NA"?
Employee data is typically only available annually. Quarterly data may not be available for all companies.
Related Formulas
More MarketXLS Historical Fundamentals formulas you can use in the same worksheet:
