YBAWS! Growing Corporate Value and Marketability

YBAWS! Growing Corporate Value and Marketability

Business Valuation

How “Industry Multiples” Cost Marcus $4.2 Million

A Software Company Built on False Assumptions

Sean Cavanagh YBAWS!'s avatar
Sean Cavanagh YBAWS!
Jan 09, 2026
∙ Paid

rat trap

Marcus Rivera built DataSync Solutions over 12 years into what appeared to be a $15 million software business. Annual revenue had reached $5 million with consistent 25% growth. EBITDA sat at $1.2 million. By every metric Marcus tracked, his company was crushing it.

He attended a SaaS conference in 2019 where a panel discussed recent acquisitions. Company after company had sold for 8-12x revenue. The pattern seemed clear: SaaS businesses were commanding premium multiples based purely on their recurring revenue model.

Marcus did the math. At 8x revenue, his company was worth $40 million. Even at a conservative 6x, he was looking at $30 million. He started making plans. The yacht. The vacation home. Early retirement at 52.

The ROT Trap

Marcus’s fatal mistake was treating outcomes as inputs. Those 8-12x revenue multiples weren’t universal rules. They were results of specific business characteristics he never investigated.

When Marcus engaged an M&A advisor in 2020 to “prepare for my $30-40 million exit,” the conversation went differently than expected.

The advisor asked uncomfortable questions:

“What percentage of your revenue is truly recurring?” Marcus: “We’re subscription-based, so 100%.”

“What’s your annual revenue retention rate?” Marcus: “Well, some customers cancel, but we replace them with new ones.”

“I need the retention number for existing customers.” Marcus: “Maybe 60%? We don’t track that specifically.”

The advisor’s expression said everything. Those companies selling for 8-12x revenue had 90-95%+ net revenue retention. Many had negative churn, meaning existing customers expanded usage faster than others cancelled.

“How many customers represent 50% of your revenue?” Marcus: “Our top 8 clients are about 55% of revenue.”

The companies commanding premium multiples had hundreds or thousands of customers with no single client above 5% of revenue.

“How much of the product roadmap and customer relationships depend on you personally?” Marcus: “I mean, I’m the CEO. I’m involved in everything important.”

The Valuation Reality

After three months of due diligence, the advisor delivered Marcus’s actual valuation range: $4.8-6.2 million.

Marcus was furious. “Companies in my industry sell for 8-12x revenue! I’ve seen the data!”

The advisor pulled up the comparable transactions Marcus kept citing. Every single one had characteristics DataSync lacked:

TechFlow (sold for 10x revenue, $180M):

  • 1,200+ customers, largest was 2.3% of revenue

  • 127% net revenue retention (customers expanding faster than churn)

  • Automated onboarding requiring zero founder involvement

  • Professional management team with defined succession plan

  • Documented product roadmap with clear market positioning

CloudMetrics (sold for 12x revenue, $96M):

  • 850+ customers across 40 industries

  • 94% gross revenue retention, 115% net retention

  • Usage-based pricing that expanded automatically with customer growth

  • CTO and VP Product had 15+ years each, equity-vested for retention

  • Zero customer concentration risk

DataSync Solutions (Marcus’s reality):

  • 67 customers, top 8 representing 55% of revenue

  • 60% annual retention (meaning 40% churn rate)

  • Marcus personally closed every deal over $50K

  • Marcus designed all major features based on gut feel

  • No management team, just department heads reporting to Marcus

The Comparable Fallacy Exposed

Marcus learned the painful truth: he and those premium SaaS companies shared nothing except an industry classification.

Those businesses had systematically eliminated the four pillars of risk:


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  1. Customer Concentration: Diversified across hundreds/thousands of customers

  2. Key Person Dependency: Professional teams with documented succession

  3. Revenue Reliability: 90%+ retention rates with expansion revenue

  4. Operational Ambiguity: Completely documented and systematized operations

Marcus had optimized for exactly the opposite: concentrated customers, founder dependency, high churn, and undocumented tribal knowledge.

The companies selling for 8-12x revenue had multiples that CAME FROM somewhere specific. They were outcomes of intentional risk reduction, not universal rules Marcus could apply to any SaaS business.

The Reconstruction

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