TRI (TRI)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 7/9).
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of TRI exhibit a compelling quality profile, anchored by an ROIC-WACC spread that suggests capital efficiency above the cost of debt. The DuPont decomposition reveals a margin-driven growth engine; while asset turnover sits at 0.42x and leverage remains conservative at 1.51x equity multiplier, the expansive net margins—supported by robust gross margins near 76%—are the primary drivers of the 12.6% ROE. This operational strength is corroborated by a strong Piotroski F-Score of 7/9 and a Beneish M-Score of -2.69, which collectively signal high financial integrity and low earnings manipulation risk despite modest revenue growth of just 3.0%.
Valuation metrics present a divergence between historical context and intrinsic value models. While the current P/E multiple trades below both its own history and the sector average, suggesting potential relative cheapness, the DCF analysis implies a significantly higher fair value of $112 per share based on assumed growth trajectories. This discrepancy indicates that the market may be pricing in stagnation or discounting future cash flow potential more aggressively than fundamental models suggest, creating a gap between current trading levels and algorithmically derived intrinsic worth.
Risk assessment is complicated by significant insider activity; over the past 90 days, net selling of approximately $34.9 million has occurred, introducing a notable delta in sentiment that contrasts with the company's otherwise robust balance sheet indicators. While the high F-Score and low M-Score mitigate concerns regarding financial health or fraud, this substantial executive outflow warrants scrutiny as it may reflect divergent internal valuations relative to the external market price. The interplay of strong fundamentals against recent insider distribution creates a nuanced risk-reward dynamic where long-term quality metrics clash with short-term behavioral signals.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $136 | $100 | $78 |
| 3% | $160 | $112 | $85 |
| 4% | $195 | $127 | $93 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $112 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like CWI or VEA, the fund manager is mechanically forced to buy or sell TRI shares regardless of TRI's individual fundamentals. We estimate $132M of passive capital is structurally linked to TRI through 4 tracked ETFs. Passive flows have a limited but growing influence on TRI's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 4 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in TRI to visualize passive redemption contagion across ETFs and collateral stocks.
If TRI (TRI) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies SAMSUNG ELECTR GDR REG S (SMSN) as the most exposed collateral stock, sharing 2 ETFs with TRI. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 4 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
TRI Ownership Dynamics
ETFs with Highest TRI Exposure
Float lock-up computed from 4 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
TRI Capital Efficiency
How efficiently does TRI convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
TRI converts 66% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Fails-to-Deliver (FTD) History
SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-14 | 141,420 | $82.03 | $11.6M |
| 2026-05-13 | 3,811 | $87.27 | $332,585.97 |
| 2026-05-12 | 28,538 | $89.22 | $2.5M |
| 2026-05-11 | 68,177 | $92.94 | $6.3M |
| 2026-05-08 | 54,494 | $93.37 | $5.1M |
| 2026-05-07 | 152,262 | $91.75 | $14.0M |
| 2026-05-06 | 46,733 | $95.46 | $4.5M |
| 2026-05-05 | 332,366 | $95.75 | $31.8M |
| 2026-05-04 | 21,861 | $94.41 | $2.1M |
| 2026-05-01 | 259,679 | $95.69 | $24.8M |
| 2026-04-30 | 25,306 | $93.29 | $2.4M |
| 2026-04-29 | 169,436 | $89.89 | $15.2M |
| 2026-04-21 | 516 | $94.91 | $48,973.56 |
| 2026-04-20 | 15,017 | $93.01 | $1.4M |
| 2026-04-17 | 641 | $93.07 | $59,657.87 |
| 2026-04-16 | 3,682 | $92.43 | $340,327.26 |
| 2026-04-15 | 27,262 | $87.98 | $2.4M |
| 2026-04-14 | 397 | $87.43 | $34,709.71 |
| 2026-04-13 | 37,115 | $83.27 | $3.1M |
| 2026-04-10 | 368 | $84.87 | $31,232.16 |
| 2026-04-09 | 243,299 | $86.11 | $21.0M |
| 2026-04-08 | 722 | $88.45 | $63,860.9 |
| 2026-04-07 | 740 | $90.62 | $67,058.8 |
| 2026-04-06 | 13,462 | $90.19 | $1.2M |
| 2026-04-02 | 151,850 | $88.05 | $13.4M |
| 2026-04-01 | 68,725 | $89.98 | $6.2M |
| 2026-03-31 | 80,824 | $91.09 | $7.4M |
| 2026-03-30 | 21,543 | $89.43 | $1.9M |
| 2026-03-27 | 51,332 | $90.38 | $4.6M |
| 2026-03-26 | 200,950 | $87.40 | $17.6M |
Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.
Compare TRI to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: N/A.
SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.