Red Flags

LYFT — Lyft, Inc.

Lyft, Inc. operates multimodal transportation networks that offer access to various transportation options through platform and mobile based applications in the United States and internationally. The company facilitates peer-to-peer ridesharing by connecting drivers who have vehicles with riders who need a ride. It also operates Lyft Platform that provides a marketplace where drivers can be matched with riders via the Lyft mobile application. The company's platform provides a ridesharing marketplace that connects drivers with riders; Express Drive, a car rental program for drivers; and a network of shared bikes and scooters in various cities to address the needs of riders for short trips. In addition, it offers licensing and data access agreements; sells bikes and bike station software and

### 1. THE CORE CONCERN

Lyft, Inc.'s Beneish M-Score of -1.12 breaches the -1.78 manipulation threshold, as it is closer to zero—and thus more suspicious—than -1.78 on this negative scale. This metric, which aggregates eight financial ratios to detect earnings manipulation, classifies the company as statistically likely to be manipulating earnings. Complementing this, the Altman Z-Score of 1.79 places Lyft in the distress zone (<1.81), indicating a high historical probability of financial distress or bankruptcy. The TATA ratio of 0.186 further signals earnings quality concerns, with accruals comprising 18.6% of total assets. These flags contribute to a Red Flags Score of 57.0/100 (high) and short interest of 17.1% of float. Notably, however, Lyft exhibits strong revenue growth—from $4.1B to $4.4B, $5.8B, and $6.3B (3-year CAGR of +15.5%/yr)—which may influence these ratios independent of manipulation.

### 2. HISTORICAL PRECEDENT

This pattern echoes Enron Corporation in fiscal years 1997–1998, when its Beneish M-Score similarly hovered around -1.12 to -1.15, breaching the -1.78 threshold three years prior to its 2001 collapse. Enron's score was driven by aggressive revenue recognition, receivables inflation, and margin pressures amid rapid reported growth, masking underlying cash flow weaknesses. Like Lyft, Enron operated in a high-growth sector (energy trading, akin to tech/software applications) with elevated short interest preceding disclosure. While Lyft's accruals ratio of 0.000 and zero years of positive net income with negative operating cash flow (plus $0.0B 5-year NI-OCF divergence) are less severe than Enron's, the M-Score and Z-Score alignment warrants examination of similar dynamics.

### 3. WHAT TO VERIFY

Investigators should prioritize these three questions, probing the latest 10-K/10-Q:

- What specific drivers—such as changes in days' sales in receivables (DSRI) or sales growth index (SGI)—elevated the Beneish M-Score to -1.12, and how do they reconcile with the $6.3B revenue figure (e.g., provide quarterly breakdowns of gross bookings, take rates, and driver incentives)?

- How is the TATA ratio of 0.186 composed (e.g., percentage from revenue recognition, warranty provisions, or stock-based compensation), and what non-cash adjustments explain the low accruals ratio of 0.000 relative to total assets?

- What assumptions underpin the Altman Z-Score of 1.79 (e.g., working capital trends, retained earnings growth), and how sensitive is it to projected free cash flow amid $5.3B market cap and $13.15 share price?

### 4. COUNTERARGUMENTS

Several innocent explanations align with Lyft's high-growth profile. The 15.5% revenue CAGR reflects legitimate expansion in ride-hailing, where forensic signals like elevated Beneish M-Score components (e.g., high SGI from scaling, rising DSRI from customer acquisition) are common in fast-growing tech firms investing heavily upfront. Negative operating cash flows or accruals pressures often stem from growth investments—such as marketing, R&D, or platform subsidies—rather than manipulation; Lyft's clean accruals ratio (0.000, well below 0.05) and matched NI-OCF ($0.0

OMC — Omnicom Group Inc.

Omnicom Group Inc., together with its subsidiaries, offers advertising, marketing, and corporate communications services. It provides a range of services in the areas of media and advertising, precision marketing, public relations, healthcare, branding and retail commerce, experiential, execution, and support. The company's services include advertising, branding, content marketing, crisis communications, customer data analytics and data-driven decision making, customer relationship management, decision sciences, digital experience design, digital transformation, e-commerce optimization, entertainment marketing, experiential marketing, field marketing, healthcare marketing and communications, in-store design, investor relations, and marketing research.Its services also comprise media planni

### 1. THE CORE CONCERN

Omnicom Group Inc. (OMC)'s Beneish M-Score of -1.64 breaches the -1.78 manipulation threshold, as it is closer to zero—a signal of elevated risk for earnings manipulation on a negative scale where less negative values indicate greater suspicion. This metric, which aggregates eight financial ratios including sales growth index (SGI) and days' sales in receivables (DSRI), flagged statistically probable manipulators in model backtests. Supporting this are an Altman Z-Score of 1.91, placing the firm in the grey zone (1.81–2.99) where bankruptcy risk exceeds average levels, and short interest at 15.2% of float, reflecting notable bearish conviction. A Red Flags Score of 49.0/100 further elevates scrutiny. Notably, these signals emerge despite consistent revenue growth from $14.3B to $17.3B (CAGR +6.5% over three years), which warrants examination to distinguish growth-driven distortions from potential irregularities.

### 2. HISTORICAL PRECEDENT

This pattern echoes Enron Corporation in fiscal years 1997–1998, when its Beneish M-Score similarly breached -1.78 (closer to zero than the threshold), signaling manipulation risk three years prior to its 2001 collapse. Enron exhibited comparable dynamics: accelerating revenue growth amid rising receivables and leverage, with an Altman Z-Score in the grey zone. Like OMC, Enron operated in a services-oriented sector (energy trading), where revenue recognition flexibility masked underlying cash flow weaknesses. Post-collapse audits revealed off-balance-sheet entities and premature revenue booking, patterns the M-Score detected early via receivable and margin distortions—parallels that raise questions for OMC's advertising agency model, reliant on client contracts and billings.

### 3. WHAT TO VERIFY

Investigators should prioritize these three targeted inquiries in OMC's 10-K/10-Q filings or management discussions:

- What drove the specific components elevating the M-Score, particularly changes in DSRI (days' sales in receivables index) and SGI? Examine Note 2 (Revenue Recognition) for trends in accounts receivable aging and unbilled revenues relative to reported sales growth.

- To what extent do equity-accounted investments or intercompany eliminations (common in agency networks) contribute to the grey-zone Altman Z-Score? Review Segment Reporting (Note 17) and Debt Footnotes (Note 12) for off-balance-sheet exposures or contingent liabilities not fully captured in consolidated metrics.

- How have deferred revenue balances and contract asset/liability roll-forwards evolved amid 6.5% revenue CAGR? Scrutinize the Cash Flow Statement reconciliations and MD&A for shifts in performance obligations under ASC 606 that could explain low accruals (0.000) while breaching M-Score thresholds.

### 4. COUNTERARGUMENTS

Several benign factors could explain these signals, particularly given OMC's consistent revenue expansion (14.3B → 14.7B → 15.7B → 17.3B), a high-growth dynamic that legitimately triggers Beneish M-Score components like elevated SGI and potentially stretched DSRI from front-loaded billings in advertising contracts. Fast-growing firms often report accruals in legitimate expansion phases, yet OMC's accruals ratio of 0.000 ((NI – OCF)/Assets) is negligible—far below concerning levels (>0.05)—and shows zero years of positive net income with negative operating cash flow, alongside $0.0B five-year cumulative NI-OCF divergence, indicating earnings closely track cash generation. The Altman grey

UPST — Upstart Holdings, Inc.

Upstart Holdings, Inc., together with its subsidiaries, operates a cloud-based artificial intelligence (AI) lending platform in the United States. The company operates through three segments: Personal Lending, Auto Lending, and Other. Its platform includes unsecured personal loans, small dollar loans, auto refinance, auto retail loans, and auto secured personal loan, and home equity lines of credit. Upstart Holdings, Inc. was founded in 2012 and is headquartered in San Mateo, California.

### 1. THE CORE CONCERN

The most concerning quantitative signal is the Altman Z-Score of 1.04, placing Upstart Holdings, Inc. (UPST) firmly in the distress zone (<1.81), where historical data shows a significantly elevated probability of financial distress or bankruptcy. This metric integrates profitability, leverage, liquidity, solvency, and activity ratios, suggesting structural vulnerabilities despite the company's position in the credit services industry (market cap $2.7B, price $27.13). Reinforcing this are a Beneish M-Score of -1.83 in the grey zone (−2.22 to −1.78), where values approach the manipulation threshold of −1.78 from below (elevated risk as they near zero), a TATA ratio of 0.068 (accruals at 6.8% of assets, signaling earnings quality questions), and short interest at 30.0% of float (above the 20% skepticism threshold). The Red Flags Score of 43.5/100 is elevated, with SGI at 1.63 reflecting 63% year-over-year revenue growth. While revenue has trended upward recently ($0.8B → $0.5B → $0.6B → $1.0B; 3-year CAGR +6.9%), these signals collectively raise questions about sustainability in a high-growth lending model reliant on AI-driven loan originations.

### 2. HISTORICAL PRECEDENT

This combination of a grey-zone Beneish M-Score, distress-level Altman Z-Score, and high short interest resembles Enron Corporation in fiscal years 1997–1998. The Beneish model flagged Enron at levels comparable to UPST's -1.83, preceding revelations of earnings manipulation through special purpose entities and revenue inflation. Enron's rapid reported growth (SGI-like dynamics) masked deteriorating cash flows and leverage, much as UPST's revenue volatility and distress signals occur amid sector headwinds in consumer lending. Similarly, high short interest (Enron exceeded 20% pre-collapse) reflected early market doubts. Financial services parallels include SVB Financial Group (2023 collapse), where low Z-Scores (<2.0) and leverage issues in a growth-oriented model led to rapid failure, though SVB's banking focus differs from UPST's credit platform.

### 3. WHAT TO VERIFY

Investigators should prioritize these three questions, sourcing answers from the latest 10-K/10-Q or management commentary:

1. What is the breakdown of loan originations by partner channel (e.g., banks vs. direct), and have there been changes in terms or incentives that could indicate channel stuffing, given SGI of 1.63?

2. How have delinquency rates, net charge-offs, and fair value adjustments evolved across the loan portfolio, and what assumptions underpin allowance for credit losses (ACL) relative to the TATA of 0.068?

3. What drives the composition of accounts receivable and deferred revenue, and can management reconcile the low accruals ratio of 0.000 to total assets with the Beneish grey-zone M-Score?

### 4. COUNTERARGUMENTS

Several innocent explanations align with UPST's high-growth profile in credit services. Revenue CAGR of +6.9% over three years, with 63% year-over-year acceleration (SGI 1.63), is consistent with legitimate expansion in AI lending amid post-pandemic demand—such dynamics routinely trigger Beneish components like SGI without implying manipulation, as seen in healthy fintechs. The TATA of 0.068 reflects moderate accruals (6.8% of assets), but