SaaS ARR Bridge Analysis

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Patch

# ARR bridge (in millions)
categories = ['Beginning\nARR', 'New\nLogos', 'Expansion', 'Reactivation', 
              'Contraction', 'Churn', 'Ending\nARR']
values = [0, 18.5, 12.2, 2.8, -4.5, -8.2, 0]

# Calculate running total
initial = 85.0
running_total = initial
bottoms = []
heights = []
colors = []

for i, (cat, val) in enumerate(zip(categories, values)):
    if 'Beginning' in cat:
        bottoms.append(0)
        heights.append(initial)
        colors.append('#27D3F5')
    elif 'Ending' in cat:
        bottoms.append(0)
        heights.append(running_total)
        colors.append('#6CF527')
    elif val > 0:
        bottoms.append(running_total)
        heights.append(val)
        colors.append('#27F5B0')
        running_total += val
    else:
        bottoms.append(running_total + val)
        heights.append(abs(val))
        colors.append('#F5276C')
        running_total += val

# Create figure
fig, ax = plt.subplots(figsize=(12, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

x = np.arange(len(categories))
bars = ax.bar(x, heights, bottom=bottoms, color=colors, width=0.6, edgecolor='#1e293b', linewidth=1)

# Add value labels
for i, (bar, val, bot, height) in enumerate(zip(bars, values, bottoms, heights)):
    y_pos = bot + height / 2
    if 'Beginning' in categories[i] or 'Ending' in categories[i]:
        label = f"${height:.1f}M"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, 
                ha='center', va='center', fontsize=11, fontweight='bold', color='#0a0a0f')
    else:
        label = f"+${val:.1f}M" if val > 0 else f"-${abs(val):.1f}M"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, 
                ha='center', va='center', fontsize=10, fontweight='bold', color='white')

# Connect bars
for i in range(len(x) - 1):
    if i == 0:
        y = initial
    else:
        y = bottoms[i] + heights[i]
    ax.plot([x[i] + 0.35, x[i+1] - 0.35], [y, y], 
            color='#475569', linestyle='--', linewidth=1.5, alpha=0.7)

# Styling
ax.set_xlim(-0.6, len(categories) - 0.4)
ax.set_ylim(0, max(bottoms[i] + heights[i] for i in range(len(heights))) * 1.1)
ax.set_xticks(x)
ax.set_xticklabels(categories, fontsize=10, color='#e2e8f0')
ax.set_ylabel('ARR ($ Millions)', fontsize=12, color='#e2e8f0', fontweight='500')
ax.set_title('SaaS Annual Recurring Revenue Bridge', fontsize=16, color='white', fontweight='bold', pad=20)

ax.tick_params(axis='y', colors='#e2e8f0', labelsize=10)
ax.yaxis.grid(True, linestyle='--', alpha=0.3, color='#334155')
ax.set_axisbelow(True)

for spine in ax.spines.values():
    spine.set_color('#334155')

# Net retention annotation
gross_add = 18.5 + 12.2 + 2.8
gross_loss = 4.5 + 8.2
ndr = ((initial - 4.5 - 8.2 + 12.2) / initial) * 100
ax.annotate(f'Net Dollar Retention: {ndr:.0f}%', xy=(0.98, 0.95), xycoords='axes fraction',
            fontsize=11, color='#6CF527', ha='right', fontweight='bold',
            bbox=dict(boxstyle='round,pad=0.4', facecolor='#1e293b', edgecolor='#6CF527', alpha=0.9))

# Legend outside plot
legend_elements = [
    Patch(facecolor='#27D3F5', label='Beginning ARR'),
    Patch(facecolor='#27F5B0', label='ARR Growth'),
    Patch(facecolor='#F5276C', label='ARR Loss'),
    Patch(facecolor='#6CF527', label='Ending ARR')
]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.1), 
          ncol=4, fontsize=9, facecolor='#1e293b', edgecolor='#334155', labelcolor='white')

plt.tight_layout()
plt.subplots_adjust(bottom=0.15)
plt.show()