---
id: "question-quantifying-sales-debt"
type: "open-question"
source_timestamps: ["§ Financial Costs"]
tags: ["metrics", "finance", "measurement"]
related: ["concept-sales-debt"]
resolutionPath: "Develop a standardized formula calculating the delta between the CAC/LTV ratio of an ideal customer vs. a poor-fit customer, plus the amortized cost of bespoke engineering hours."
sources: ["commercial"]
sourceVaultSlug: "hbr-seg-commercial"
originDay: 5
articleStem: "hbr-tier1-03-sales-debt-grow"
sourceUrl: "https://hbr.org/2026/01/the-risks-of-prioritizing-short-term-revenue-over-customer-fit"
sourceTitle: "The Risks of Prioritizing Short-Term Revenue Over Customer Fit"
---
# How Can Sales Debt Be Accurately Quantified on a Balance Sheet?

**Open question.** The source clearly outlines the *qualitative* and *operational* costs of [[concept-sales-debt]] (burnout, churn, support hours) but does **not** provide a mathematical formula for quantifying sales debt as a specific dollar liability on a balance sheet to weigh against the short-term revenue gained.

**Proposed resolution path:** Develop a standardized formula that calculates the *delta* between the **CAC/LTV ratio** of an ideal customer vs. a poor-fit customer, plus the **amortized cost of bespoke engineering hours**.

**Enrichment caveat:** The enrichment literature warns that the "debt" metaphor may *overstate* the analogy by implying a near-financial liability; technical-debt sources repeatedly treat debt as a *metaphor for future work and lost productivity*, not a literal accounting entry. Any quantification effort should therefore treat the output as a decision-support estimate, not a GAAP liability. Directly bears on the testability of [[claim-poor-fit-reduces-profitability]].