The People P&L:
Reconstructing the Workforce Balance Sheet
The Task: Reconstruct the company’s separate "People P&L" and "People Balance Sheet" from 42 months of payroll, performance, and operational data.
The Forensic Dataset
We built a shadow ledger using raw data inputs usually siloed in HR and Finance.
The Blind Spot: Traditional Cost Accounting
For decades, Finance has treated all people spend as an Expense (SG&A).
- Salary = Expense
- Hiring = Expense
- Training = Expense
"The financial statements were technically accurate. But the mental model was wrong. We were treating our primary asset as a utility bill."
Reconstructed: The People P&L Statement (FY24)
We attributed revenue to delivery teams and calculated specific "People Operating Costs" including attrition drag and ramp-up loss.
| Line Item | Value (INR Cr) | % Rev |
|---|---|---|
| People Revenue (Attributed Output) | 412.0 | 100% |
| (-) Direct Compensation Cost | (245.0) | 59% |
| (-) Hiring & ACQ Costs | (18.5) | 4% |
| (-) Attrition & Ramp-Up Loss | (34.2) | 8% |
| (-) Management Overhead | (20.3) | 5% |
| People Operating Profit | 94.0 | 22.8% |
ALERT: Two functional departments showed a NEGATIVE People Operating Profit.
Shock 1: The Profit Concentration
18% of the workforce generates 64% of People Profit.
The organization is not linear. It follows a brutal power law. The "Mighty Middle" is breaking even, while the tail is destroying value.
Shock 2: The Cost Sinkholes
We identified 3 specific teams operating as "Capital Sinkholes". Despite growing headcount by 20% YoY, their output value declined.
Drivers: High attrition (institutional memory leak), over-hiring of junior staff without manager capacity, and low delivery velocity.
The People Balance Sheet
We calculated "Net People Capital" by treating skills/tenure as Assets and attrition risk/gaps as Liabilities.
Net People Capital: ₹ 210.0 Cr (-11% YoY)
Conclusion: Why are we growing revenue but eroding our capital base? Because we are burning out our assets to hit quarterly numbers.
Capital Efficiency (ROI)
We mapped Return on People Capital (ROPC) by function. The results were counter-intuitive.
| Function | Avg Cost / Head | Output Value | ROPC |
|---|---|---|---|
| Engineering (Product) | ₹ 42L | ₹ 1.8 Cr | 4.2x |
| Sales (Enterprise) | ₹ 35L | ₹ 1.1 Cr | 3.1x |
| Legacy Ops (The Sinkhole) | ₹ 18L | ₹ 14L | 0.7x |
The "cheapest" department is actually the most expensive in terms of capital destruction.
The Decision Fork: FY25 Strategy
Two paths for capital allocation.
Continue hiring plan based on headcount requests.
- People Margin: 22% → 19%
- Capital Erosion: -15%
Freeze legacy hiring. Redeploy budget to Engineering/Sales. Fix 3 manager nodes.
- People Margin: 22% → 31%
- Capital Base: +12%
Simulation Output: FY25 Forecast
| Projected People Profit | ₹ 128 Cr | (+36% vs FY24) |
The model predicts that zero net headcount growth can yield ₹ 34 Cr additional profit purely through capital efficiency.
Action Plan: From Insight to Allocation
- Divest: Freeze hiring in Legacy Ops (Sinkhole). Automate L1 tasks.
- Invest: Reallocate ₹ 12 Cr budget to Engineering retention (Asset Protection).
- Repair: Replace 3 key managers in the "High Cost / Low Output" nodes.
CFO & CEO Conclusion
"The findings are clear. We did not have a 'people cost' problem. We had a 'capital allocation' problem. We were investing in liabilities and staring at assets walking out the door."
The Paradigm Shift
1. HR as Capital Allocator: HR is no longer about "filling seats". It is about deploying capital to the highest ROPC zones.
2. People Decisions are Investment Decisions: Every hire, firing, and raise is now evaluated against Net People Capital impact.
Why This Case Exists
I don't believe in "HR Metrics". I believe in Human Capital Economics. This project proves I can speak the language of the CFO and turn workforce data into P&L impact.