Perfect! I've built a comprehensive FY2025 revenue bridge analysis. Here's what was created:

## Deliverables

**1. Interactive Dashboard** (`revenue_bridge.html`)
- Visual waterfall chart showing revenue movement
- Side-by-side comparison of FY24 vs FY25 by segment
- Detailed segment performance analysis
- Metrics and insights

**2. Analysis Summary** (`REVENUE_BRIDGE_ANALYSIS.txt`)
Comprehensive breakdown including:
- Bridge math: FY24 ($11.24M) → FY25 ($11.24M) via 5 components
- Segment deep-dives (Enterprise, Mid-Market, SMB)
- Customer retention metrics
- Key insights and recommendations

**3. Structured Data**
- `revenue_bridge.csv` - Bridge summary table for reporting
- `bridge_data.json` - Structured data for integration
- `bridge_calc.py` - Reusable analysis script

## Key Findings

**Net Result:** Flat year-over-year (−0.04%), but masks sharp segment divergence:

| Segment | FY24 | FY25 | Change | Notes |
|---------|------|------|--------|-------|
| **Enterprise** | $6.26M | $5.51M | −12.0% | 2 large churns (−$1.19M) |
| **Mid-Market** | $4.04M | $4.37M | +8.3% | Zero churn, balanced growth |
| **SMB** | $0.95M | $1.36M | +43.1% | 6 new logos, strong expansion |

**Bridge Components:**
- New customers: +$463K (6 SMB logos)
- Churned: −$1,288K (Enterprise, Mid-Market SMB)
- Expansion: +$1,264K (existing accounts)
- Contraction: −$443K

The HTML dashboard is ready to open in a browser for interactive exploration of the data.