The perpetuity bias in Canadian M&A valuation: sector-calibrated survival multipliers from statistics Canada business dynamics data

Standard Discounted Cash Flow (DCF) valuation treats going concern as a binary constant: the firm either exists or it does not. In Canadian M&A transactions, where no continuous market mechanism corrects survival optimism, this assumption embeds a systematic upward bias in goodwill estimates. This paper calibrates the Business Survival Value Multiplier (BSVM™) for the Canadian market using annual business dynamics data from Statistics Canada (2001–2023), anchored on aggregate survival benchmarks from the ISED Key Small Business Statistics 2025. We calibrate sector-specific BSVM™ parameters for 17 NAICS sectors, revealing significant heterogeneity in structural longevity. The results demonstrate that ignoring sector-specific mortality can lead to goodwill overestimation of up to 16% at the transaction date. This version includes specialized adjustments for sectors structurally excluded from public datasets, such as private Health Care and Educational Services, utilizing proprietary proxy calibration to ensure forensic precision where public data is absent. The BSVM™ completes the DCF model by adding the "third dimension" of risk—survival risk—allowing practitioners, auditors, and forensic accountants to price terminal value with statistical accuracy rather than discovering impairments through future write-downs.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-20
DOI
https://doi.org/10.5281/zenodo.19673336
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
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article

The perpetuity bias in Canadian M&A valuation: sector-calibrated survival multipliers from statistics Canada business dynamics data

Ruben Freitas
Zenodo (CERN European Organization for Nuclear Research)
Financial Distress and Bankruptcy Prediction
article

The perpetuity bias in Canadian M&A valuation: sector-calibrated survival multipliers from statistics Canada business dynamics data

Ruben Freitas
article en

Abstract

Standard Discounted Cash Flow (DCF) valuation treats going concern as a binary constant: the firm either exists or it does not. In Canadian M&A transactions, where no continuous market mechanism corrects survival optimism, this assumption embeds a systematic upward bias in goodwill estimates. This paper calibrates the Business Survival Value Multiplier (BSVM™) for the Canadian market using annual business dynamics data from Statistics Canada (2001–2023), anchored on aggregate survival benchmarks from the ISED Key Small Business Statistics 2025. We calibrate sector-specific BSVM™ parameters for 17 NAICS sectors, revealing significant heterogeneity in structural longevity. The results demonstrate that ignoring sector-specific mortality can lead to goodwill overestimation of up to 16% at the transaction date. This version includes specialized adjustments for sectors structurally excluded from public datasets, such as private Health Care and Educational Services, utilizing proprietary proxy calibration to ensure forensic precision where public data is absent. The BSVM™ completes the DCF model by adding the "third dimension" of risk—survival risk—allowing practitioners, auditors, and forensic accountants to price terminal value with statistical accuracy rather than discovering impairments through future write-downs.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Financial Distress and Bankruptcy Prediction
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