Montier C-Score Calculator & Forensic Accounting Lab

Forensic Accounting Scenario Presets

Forensic Sensitivity Analysis Matrices

Sensitivity Grid 1: Total Asset Growth (%) vs Net Income Divergence

Evaluates C-Score sensitivity as Net Income changes relative to operating cash flow against fluctuating asset growth rates.

Sensitivity Grid 2: Receivables DSO Shift vs Inventory DSI Shift

Examines working capital stretch flags across varying receivable collection and inventory turnover days.

Worked Calculation & Mathematical Specification

The Montier C-Score (Cooking-the-Books Score) was introduced by James Montier in his 2008 Société Générale research paper "Cooking the Books: Introducing the C-Score". Rather than relying on non-linear multivariate probit regressions like the Beneish M-Score, Montier designed an unweighted 6-variable forensic checklist based on empirical anomalies that precede corporate restatements and major earnings collapses.

Aggregate Model Equation:
$$\text{C-Score} = \sum_{i=1}^6 \text{Flag}_i \quad \text{where } \text{Flag}_i \in \{0, 1\}$$
$$\text{C-Score} = \mathbb{I}(\text{NI}_t > \text{CFO}_t) + \mathbb{I}(\text{DSO}_t > \text{DSO}_{t-1}) + \mathbb{I}(\text{DSI}_t > \text{DSI}_{t-1}) + \mathbb{I}(\text{OCA Ratio}_t > \text{OCA Ratio}_{t-1}) + \mathbb{I}(\text{Depr Rate}_t < \text{Depr Rate}_{t-1}) + \mathbb{I}(\text{Asset Growth} > 10\%)$$

Step-by-Step Diagnostic Schedule (Current Model State)

Criterion	Forensic Economic Logic	Prior Year ($t-1$)	Current Year ($t$)	Test Condition	Flag Score

Empirical Performance Insights from James Montier's Research

Negative Alpha Distribution: In global empirical tests from 1993 to 2007 across US and European equities, companies with a C-Score of 5 or 6 underperformed the market by an average of -8.0% per annum (-5.4% per annum in the US and -11.0% in Europe).
Short-Selling Screen: Montier demonstrated that shorting high C-Score companies while going long low C-Score compounders (C-Score 0 or 1) generated consistent annual long/short market-neutral spreads exceeding +12.4%.
Non-Linear Risk Cliff: A C-Score of 0 or 1 indicates high earnings safety. Scores of 2 and 3 represent an intermediate grey zone where earnings quality is stretched. A score of 4 or higher indicates extreme vulnerability to earnings restatements, covenant violations, and auditor resignations.

Montier C-Score Knowledge Check Quiz

Test your mastery of forensic accounting, earnings manipulation screening, and working capital distortion diagnostics.

1. Why does James Montier flag companies where Net Income exceeds Cash Flow from Operations (NI > CFO)?

Because Net Income should always equal operating cash flow under US GAAP.

Because healthy firms have non-cash depreciation add-backs that make CFO exceed NI; when NI exceeds CFO, paper accruals are outpacing real cash realization.

Because higher net income indicates that the company has paid excessive taxes ahead of time.

2. What operational or accounting pathology is indicated by an increasing Days Sales Outstanding (DSO) year-over-year?

Customers are paying significantly earlier than their contracted invoice terms.

Aggressive revenue recognition, channel stuffing, or extending unvetted credit terms to artificially inflate top-line growth.

Rapid inventory turnover that requires holding cash in escrow.

3. How can a declining Depreciation Rate signal creative accounting rather than operational improvement?

Management may be artificially extending estimated useful lives or deferring asset write-offs to reduce annual depreciation charges and boost reported earnings.

Depreciation expenses are fixed by law and can never be adjusted by corporate executives.

A declining depreciation rate indicates that plant machinery is appreciating in market value.

4. According to Montier's research, how did stocks with high C-Scores (5 or 6) perform relative to the market benchmark?

They outperformed the market index by an average of 15% per annum due to rapid asset accumulation.

They tracked the benchmark identically with zero measurable statistical alpha.

They substantially underperformed the market by an average of approximately 8.0% per annum with high crash risk.

Frequently Asked Questions

What is the Montier C-Score and who developed it?

The Montier C-Score (Cooking-the-Books Score) was developed in 2008 by renowned global equity strategist and value investor James Montier at Société Générale. It is a forensic accounting screen composed of six discrete binary red flags designed to identify companies attempting to disguise deteriorating operational fundamentals through aggressive revenue recognition, delayed asset write-downs, and opportunistic balance sheet manipulations.

What are the six binary criteria in the Montier C-Score model?

The six criteria are: (1) Divergence between Net Income and Cash Flow from Operations (NI > CFO); (2) Growing Days Sales Outstanding (DSO_t > DSO_t-1); (3) Growing Days Sales of Inventory (DSI_t > DSI_t-1); (4) Increasing Other Current Assets relative to Revenue; (5) Declining Depreciation Rate indicating delayed write-downs or extended asset lives; and (6) Aggressive Total Asset Growth exceeding 10% year-over-year.

How are Montier C-Score scores interpreted by institutional investors and short sellers?

Scores range from 0 to 6. A score of 0 or 1 reflects high accounting quality and low manipulation risk. Scores of 2 or 3 indicate moderate accounting distortion where individual line items warrant deeper due diligence. Scores of 4, 5, or 6 indicate severe forensic danger; in James Montier's empirical research across global markets, companies scoring 5 or 6 underperformed the market by an average of 8% per year and exhibited an asymmetric probability of financial restatements or severe drawdown.

How does the Montier C-Score compare to the Beneish M-Score and Piotroski F-Score?

While the Piotroski F-Score measures overall fundamental operational improvement (9 financial health signals) and the Beneish M-Score uses an 8-variable continuous probit regression weighting to estimate fraud probability, the Montier C-Score focuses purely on detecting creative accounting through a transparent, unweighted 6-variable checklist that requires no complex statistical probit lookups.