saas-valuation-compression

Analyzes ARR valuation multiple changes across SaaS funding rounds and attributes compression to causes.

3.3k|382|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/himself65/finance-skills --skill saas-valuation-compression-himself65
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: saas-valuation-compression
Source: https://github.com/himself65/finance-skills/tree/main/plugins/market-analysis/skills/saas-valuation-compression
Command: npx skills add https://github.com/himself65/finance-skills --skill saas-valuation-compression-himself65

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Understanding why a private SaaS company's valuation multiple compressed or expanded between funding rounds requires scattered research across press coverage, investor posts, and market benchmarks, with no structured framework for attributing the change. ## Core Features & Use Cases - Round-by-Round Multiple Analysis: Researches funding rounds, valuations, and ARR via web search, then computes ARR multiples and compression percentages for each consecutive round pair. - Cause Attribution Framework: Rates macro rate cycles, growth deceleration, narrative shifts, AI premium, competition, and investor demand as Primary, Contributing, or Not applicable. - Benchmarked Visualization: Renders metric cards, line charts versus private-market medians, log-term decomposition bars, and peer comparisons using dated reference data in references/benchmarks.md. - Use Case: Ask why a company's Series C multiple compressed versus its Series B, and receive a chart-backed verdict such as "the multiple compressed 36% but ARR grew 5x, so valuation still rose about 3.2x." ## Quick Start Analyze the valuation compression between Vercel's Series D and Series E rounds and explain the primary causes.

Frequently Asked Questions about saas-valuation-compression

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze SaaS valuation compression between funding rounds?▼

Research each round's post-money valuation and ARR via web search, compute the ARR multiple per round, then calculate compression percentage between consecutive rounds. Attribute the change using a checklist covering macro rates, growth deceleration, narrative shifts, AI premium, competition, and investor demand.

How to estimate ARR when a private company does not disclose it?▼

Estimate ARR from customer count multiplied by average deal size, or use stage heuristics: seed and Series A often $500K–$3M, Series B typically $5M–$20M, Series C typically $20M–$60M. Always label estimated figures with a plus-or-minus range.

What causes ARR multiples to compress in SaaS companies?▼

The most common cause is growth deceleration between rounds. Other drivers include ZIRP-era premium removal during rate hikes, sector-wide public software selloffs, lost narrative or category leadership, absent AI positioning, competitive saturation, and more selective investor demand.

Can valuation rise even when the ARR multiple compresses?▼

Yes. Valuation multiplier equals ARR multiplier times multiple multiplier, so if ARR grows faster than the multiple compresses, absolute valuation still increases. The decomposition is additive only in log terms, which is how the breakdown charts sum correctly.

What are the limitations of round-to-round multiple analysis?▼

It requires at least two funding rounds; a single round can only be compared against the sector median for its date. Pre-revenue companies need forward ARR or GMV bases, and acquisition prices often reflect strategic premium or distress rather than pure ARR multiples.