Case Studies
The following examples are illustrative and represent the type of engagements we support.
Growth-Stage B2B SaaS Company
Preparing for a Series A raise
ARR
$6M
Growth
~80% YoY
Runway
18 months
Valuation
$28–34M
Situation
A $6M ARR vertical SaaS company growing ~80% YoY was entering fundraising conversations without an institutional-grade model or clear valuation story.
Runway visibility and hiring plans were unclear.
What We Built
- • Integrated 3-statement financial model (36-month forecast)
- • Scenario-based runway planning (base / upside / downside)
- • Cohort & unit economics analysis
- • Comparable & DCF valuation framework
- • Investor-ready financial package & diligence materials
Impact
- • Extended runway clarity from 9 → 18 months
- • Identified $1.2M annual cost optimization
- • Tightened valuation range ($28M–$34M)
- • Faster investor diligence and stronger negotiations
Founder-Led Professional Services Firm
Evaluating exit vs. continued growth
Revenue
$12M
EBITDA
22%
Valuation
$14–18M
EBITDA Gain
~$900K
Situation
A $12M revenue, 22% EBITDA-margin services business needed clarity on enterprise value and whether to sell or scale further.
What We Built
- • Normalized financials & margin analysis
- • DCF + market multiple valuation
- • Cash flow forecasting
- • Operational drivers linked to value creation
- • Exit readiness roadmap
Impact
- • Established valuation range of $14M–$18M
- • Identified +6% margin improvement opportunities
- • Increased EBITDA by ~$900K through cost restructuring
- • Clear 2–3-year value creation strategy
Technology-Enabled Growth Company
Scaling with financial discipline
Revenue
$4M
Burn ↓
25%
Runway
15 months
Forecast
±10%
Situation
A $4M revenue tech-enabled business lacked real-time visibility into burn, churn, and hiring economics, limiting confident decision-making.
What We Built
- • Custom FP&A dashboard
- • Monthly KPI reporting cadence
- • Revenue & churn forecasting
- • Cash runway & sensitivity analysis
- • Capital allocation planning
Impact
- • Reduced burn by 25%
- • Improved forecast accuracy from ±30% → ±10%
- • Extended runway from 8 → 15 months
- • Leadership gained real-time decision visibility
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