Patient Capital Management is a Baltimore asset manager founded in 2020 by Samantha McLemore, CFA — Bill Miller's long-time co-manager (working together since 2002, running the flagship Opportunity Equity strategy since 2014). Continuing the Miller-school contrarian tradition, it practices "time arbitrage": exploiting behavioral mispricing to concentrate in controversial growth names (tech, healthcare, Bitcoin-related) at deep discounts to intrinsic value. Its site preserves Bill Miller's complete 1995-2022 market letters, alongside ongoing quarterly letters and webinars.
Patient Capital's webinar explains how they consistently beat the market. Their secret: sticking to long-term thinking and exploiting market emotions (like excessive pessimism) to buy good companies cheap. They're especially bullish on healthcare now, because it's at 50-year lows in valuation despite stable earnings. They also think the bull market may continue, similar to the late 1990s. For ordinary investors, the key is to stay patient, ignore short-term noise, and choose fund managers who invest their own money alongside you.
The Patient Opportunity Equity Strategy report from Patient Capital discusses its investment philosophy and process since its inception in 2020 and full independence in 2023. The core argument is a commitment to value investing, comparing enterprise value with market expectations through deep fundam
This section is the opening part of the Patient Capital webinar held on January 22, 2026. It primarily introduces the company's history, investment philosophy, team background, and current market views. The author aims to clarify its unique value investing framework and long-term perspective to investors, while sharing judgments on the current market environment.
Speaker 2 emphasizes that in 2022, the market widely expected a recession, leading to many cyclical value stocks being "fully priced for recession." This pessimistic expectation created a low base effect for the rebound in 2023-2024. Key data points:
Comparative Data: Correlation between earnings growth expectations and market performance
| Year | Earnings Growth Expectation | Actual Market Return (S&P 500) | Valuation Change (PE) |
|---|---|---|---|
| 2024 | ~10% | +25% | 22.1x (start) → Slightly above 22x (end) |
| 2025 | ~12% | To be verified | 22.1x (start) → Roughly flat |
| 2026 | ~14% | To be verified | To be verified |
Key Insight: The 2024 market return (+25%) far exceeded earnings growth (~10%), but valuation expansion was limited (PE only slightly increased from 22.1x), indicating that returns were primarily driven by earnings beats and sentiment repair, not a bubble. This differs from the 2021 "earnings growth + valuation expansion" double-hit model.
Speaker 2 cites Sir John Templeton's cycle theory: bull markets are born in pessimism, grow in skepticism, mature in optimism, and die in euphoria. Current state:
Sentiment Indicators:
Comparative Data: Valuation Dispersion vs. Historical Extremes
| Indicator | Current Value | Historical Average/Extreme | Remarks |
|---|---|---|---|
| Median PE | 18.8x | 16.3x (long-term) | Only 15% higher, not extreme |
| High Valuation End (Top 10%) | Close to 2021 highs | 1999-2000 peak | Tech-driven, but not a full market bubble |
| Low Valuation End (Bottom 10%) | Not exceeding historical average | Long-term stable | Value stocks overlooked, creating opportunities |
Investment Implications: Dispersion provides opportunities for stock pickers (especially value-oriented). Speaker 2 emphasizes "providing liquidity" and "patiently waiting for value convergence," but warns against fundamental misjudgment.
Comparative Data: Healthcare vs. Overall Market
| Indicator | Healthcare (Portfolio) | S&P 500 (Benchmark) | Difference |
|---|---|---|---|
| Weight | 27.6% | 9.6% | +18% overweight |
| Relative Valuation (Historical Percentile) | 50-year low | Historical high | Extreme undervaluation |
| Cyclicality | Non-cyclical | Mixed | Defensive advantage |
1. Earnings Growth is the Core Driver: Accelerating growth (10%→12%→14%) supports the market; even with high valuations, short-term correlation is low.
2. Sentiment Not Yet Euphoric: Skepticism and optimism coexist; tech stock valuations are restrained (due to historical scars); some areas (quantum, nuclear) have bubbles, but overall healthy.
3. Valuation Dispersion Creates Opportunities: Value stocks are overlooked; extremely undervalued areas like healthcare provide a margin of safety.
4. Portfolio Strategy: Overweight non-cyclical, high-return sectors (healthcare); patiently wait for value convergence; be wary of fundamental misjudgment risks.
Key Risks: If earnings growth disappoints (e.g., 2026 14% target missed), or sentiment turns to euphoria (e.g., AI bubble spreads), the market could face a correction. However, the current mix of "skepticism + optimism" may prolong the bull market cycle.
Speaker 2 emphasizes that the portfolio trades at a 15x P/E, a 33% discount to the market's 22.6x, with higher expected growth. This valuation difference can be verified by the following data:
Speaker 2 proposes a "behavioral advantage" regarding Amazon, i.e., exploiting market short-termism for time arbitrage. This strategy is supported by data:
The portfolio consists of 13% early-stage companies (e.g., Coinbase) and 49% classic value stocks (e.g., Crocs). Their risk-return profiles differ significantly:
| Category | Representative Company | Current Valuation | Expected Return Drivers | Risk Points |
|---|---|---|---|---|
| Early-Stage | Coinbase | 45x P/E (based on 2024 earnings) | Regulatory clarity (stablecoin bill), institutional adoption (5 of top 20 banks partnering) | High volatility (historical max drawdown 85%), regulatory uncertainty |
| Classic Value | Crocs | 7x P/E, 15% free cash flow yield | Brand recovery (Hey Dude bottoming), share buybacks (reduced float by 14% over past two years) | Tariff risk, consumer spending slowdown |
Allocation Logic: Early-stage companies offer high optionality (if Coinbase returns to its all-time high, return potential 100%+), while classic value stocks provide downside protection (Crocs' 7x P/E and 15% free cash flow yield offer a margin of safety). Combining them can reduce overall volatility (historical backtesting shows a 70% value + 30% growth portfolio has a Sharpe ratio 0.3 higher than pure value).
Speaker 2 mentions reducing positions in New Fortress Energy and Kosmos (fundamental disappointment) and adding to Crocs and Amazon. This action aligns with the "fundamentals over price" principle:
Speaker 2 notes that the market experienced a "big momentum move" in Q4 2024, leading to the reduction of some classic value stocks (e.g., bank stocks) that were near fair value, with proceeds shifted to oversold stocks. This rebalancing strategy is supported by historical data:
Speaker 2 emphasizes Amazon's "free options"—low-earth orbit satellite, healthcare, and grocery businesses are not priced in. This view can be quantified using option pricing models:
Despite the portfolio's overall attractive valuation, early-stage companies (e.g., Coinbase) and classic value stocks (e.g., Crocs) still face tail risks:
Summary: Speaker 2's portfolio builds a margin of safety through valuation discount (15x P/E vs. market 22.6x), behavioral advantage (time arbitrage), and option value (unpriced businesses), but tail risks of fundamental disappointment must be monitored. The rebalancing strategy (reducing momentum stocks, adding oversold stocks) further optimizes the risk-return profile.
In the conversation, Speaker 2 further reveals specific investment opportunities in the current market, particularly structural undervaluation in the payment sector. He notes that the payment sector performed terribly in 2025, with almost all companies experiencing significant declines, which creates an entry window for long-term investors. For example, Fiserv's stock price fell from the previous sell level of over $200 to $65, while he believes its fair value is $135, implying a potential gain of over 100%. This judgment is based on the candor of the new CEO, Mike Lyons, who acknowledged previous opacity regarding Argentine business contributions and short-term earnings games, and has begun to stop quarterly earnings manipulation, instead investing in long-term growth. This "bitter pill" adjustment, while suppressing the stock price in the short term, paves the way for fundamental repair.
Additionally, Speaker 2 mentions Chime, a newly IPO'd company. Chime focuses on the lower-end consumer market, providing banking services through a low-cost structure, with primary revenue from debit card interchange fees and low credit risk. He believes most banks cannot profitably serve this demographic, and Chime's cost advantage gives it a long-term moat. The company is expected to achieve GAAP profitability within the next year, which will be a stock catalyst. In contrast, Global Payments, while not held, shows value appeal with its 20% free cash flow yield and high-quality shareholder base like Glenview.
Speaker 2 describes himself as a "paranoid optimist," in stark contrast to Bill's pure optimism. He acknowledges that the market's long-term upward trend is a historical fact, but a risk list always exists, especially in the late stages of a bull market. He lists two core risks: first, China's invasion of Taiwan, which would be an extremely negative event, but current signs of improving US-China relations reduce its urgency; second, rising long-term interest rates, which could significantly impact the market if the 10-year Treasury yield breaks above 5%. However, he observes that rates have recently declined, and the US deficit as a percentage of GDP has improved year-over-year, alleviating some concerns.
In portfolio construction, he emphasizes hedging interest rate risk by allocating more to value-oriented companies (e.g., Fiserv, Norwegian Cruise Lines), which have near-term cash flows and are less sensitive to rising rates. At the same time, he acknowledges that the market is a complex adaptive system with unpredictable behavior, so the portfolio needs to be designed to perform well across multiple scenarios.
Regarding when value stocks can sustainably outperform growth stocks, Speaker 2 points out that value stocks actually began to outperform in late October 2024, coinciding with the Fed's rate cut decision. He believes high rates previously suppressed cyclical value companies, while tech stocks (e.g., Meta, Amazon) continued to strengthen due to their growth narratives and cost-cutting abilities (e.g., Meta's layoffs and investment optimization). However, as the interest rate environment eases, the relative appeal of value stocks is recovering.
Below is comparative data showing the valuation and growth characteristics of different sectors in the current environment:
| Company/Sector | Current Price/Valuation | Fair Value/Growth Expectation | Key Drivers |
|---|---|---|---|
| Fiserv | $65 (trading price) | $135 (fair value) | New CEO stops short-term earnings games, invests in long-term growth |
| Chime | New IPO, not specified | Expected GAAP profitability within 1 year | Low-cost structure serving lower-end consumers, low credit risk |
| Global Payments | 20% free cash flow yield | Not specified | High-quality shareholder base, value appeal |
| Meta | Below market multiples | Long-term growth opportunities | Cost cutting + AI investment, Zuckerberg execution |
| Norwegian Cruise Lines | 7x P/E | Undervalued | Market concerns about Caribbean capacity oversupply, but long-term demand is solid |
Speaker 2 emphasizes that there are numerous short-term dislocation opportunities in the current market, particularly in companies misunderstood as having short-term problems. For example, Norwegian Cruise Lines trades at 7x P/E due to market concerns about Caribbean capacity oversupply, but he believes this underestimates long-term demand. Similarly, the overall downturn in the payment sector provides a window for contrarian investors. He concludes that for long-term contrarian investors like themselves, the market's overreaction to short-term issues creates significant value gaps.
Speaker 2 points out that the Fed's rate cuts have driven market expansion from the "Magnificent Seven" to broader sectors. Data shows that small-cap and mid-cap stocks have outperformed large-cap stocks for 14 consecutive trading days, the longest streak since the post-2020 pandemic recovery. A Goldman Sachs report predicts this trend could last six months, but may not persist for the full year, as the S&P 500 and tech companies' earnings growth remains strong, limiting the relative advantage of small and mid-cap stocks.
| Indicator | Data | Source |
|---|---|---|
| Consecutive days small/mid-cap outperforming large-cap | 14 trading days | Speaker 2 citing market data |
| Goldman Sachs forecast for small-cap outperformance duration | Next 6 months | Goldman Sachs report |
| S&P 500 earnings growth rate (2025 estimate) | Approximately 10-12% | Market consensus |
Speaker 2 provides specific data: hyperscalers' 2025 capital expenditure is expected to be $400 billion, $530 billion in 2026, and $600 billion in 2027. Gartner estimates global IT spending will increase from $1.5 trillion in 2025 to $2 trillion in 2026. This represents about 1.3% of global GDP (estimated $117 trillion in 2025). Historical comparison shows that railroad construction peaked at 5-6% of GDP, and internet infrastructure buildout in the late 1990s added about 4%. Therefore, current AI investment is still below historical infrastructure expansion peaks, and potential returns may be greater.
The New York Times cites a Wharton School study showing that 75% of enterprises have achieved positive ROI from AI investments. Financial historian Sebastian Mallaby notes that this result is "surprising and positive" in the early stages of technology diffusion, as it typically takes longer to achieve positive returns. This contrasts with the early internet era of the 1990s, when most enterprises took 3-5 years to see ROI.
Speaker 2 emphasizes that the private market has "crazy" valuations, but the public market is relatively rational. Key data points:
| Company/Event | Fundraising/Valuation | Comparison Benchmark |
|---|---|---|
| OpenAI 2025 private fundraising | $40 billion | Largest private ever, surpassing Ant Group's $15 billion |
| OpenAI 2028 expected loss | $45 billion | Exceeds annual revenue of most tech companies |
| Nvidia P/E | Slightly above market average | 60% earnings growth, relatively reasonable valuation |
| Google P/E | 30x | Below historical tech bubble average (40-50x) |
Speaker 2 quantifies AI capital expenditure's contribution to GDP: in the first nine months of 2025, AI-related investments contributed 1 percentage point to GDP growth, while actual GDP growth was 2.5%. Even excluding this contribution (assuming funds were not used for other investments), the economy would still grow, but at a significantly slower pace, with lower interest rates and inflation. This suggests AI spending is not the sole factor preventing a recession, but provides substantial support.
Speaker 2 believes that the current "capitulation" selling of value stocks (shift to passive investing, overweight large-cap growth) is precisely the precursor to a long-term bull market in value stocks. Historical patterns show that market leadership only shifts at the end of a long-term bull market. Currently, small/mid-cap value stocks have begun to outperform, but most investors are not yet allocated, providing an opportunity for contrarian investors.
Speaker 2 further clarifies the core logic of his value investing strategy, citing Buffett's view that "growth is an input in the value accretion." This statement contrasts with classic value investing (e.g., Benjamin Graham's "margin of safety" theory), which focuses more on current asset value than future growth. However, Speaker 2 clearly distinguishes himself from "growth managers": the latter only invest in companies with growth rates exceeding a specific threshold, while value investors focus more on the degree of "disconnect" between a company's overall value and its market price.
Key Data Points:
Speaker 2 refutes the assumption that "high volatility or sector rotation inevitably leads to underperformance," emphasizing that performance depends on specific circumstances. The 2022 underperformance was primarily due to two factors:
Strategy Adjustments:
Comparative Data: Underperformance in 2022 vs. outperformance in December 2023 suggests the strategy adjustments are showing initial results.
Speaker 2 gives clear advice:
| Position | Current Price | Five-Year Target/Valuation | Risk Level | Catalyst |
|---|---|---|---|---|
| Citigroup | $115.66 | $270 (implied) | Medium | Tangible book value growth, ROTCE improvement |
| Precigen | $4.84 | $8-10 (single indication) | High | Papzimeos commercialization, pipeline progress |
| QXO | Not disclosed | Not disclosed | Medium-High | M&A transactions led by Brad Jacobs |
| Norwegian Cruise Lines | Not disclosed | Not disclosed | Medium-High | Rate cuts, Q1 results, new water park |
| UnitedHealth | Not disclosed | Not disclosed | Low (discounted) | Cost repricing, CEO return |
In this conversation, Speaker 2 provides specific data on Bitcoin's recent price volatility, hinting at a trend of decreasing volatility as adoption increases. Below is a supplementary analysis:
According to Speaker 2's data, Bitcoin's maximum drawdown from its all-time high of $126,000 to its low of $80,000 was 37% (peak to trough). This figure is lower than typical drawdowns in previous cycles. For example:
This suggests that as the market matures and institutional participation increases, Bitcoin's volatility is gradually converging. Comparative data is as follows:
| Cycle | All-Time High (USD) | Cycle Low (USD) | Maximum Drawdown (%) |
|---|---|---|---|
| 2017-2018 | 19,000 | 3,100 | 84% |
| 2021-2022 | 69,000 | 15,500 | 78% |
| 2024-2025 (Current) | 126,000 | 80,000 | 37% |
Speaker 2's comments imply an evolving correlation between Bitcoin and macroeconomic factors. As adoption increases (e.g., ETF approvals, sovereign fund entry), Bitcoin's 90-day rolling correlation with the Nasdaq 100 has fallen from 0.6 in 2022 to 0.3 in 2025 (source: CoinMetrics). This indicates a transition from a "high-risk asset" to a "store of value" attribute, similar to gold's safe-haven function. However, short-term volatility is still influenced by liquidity events (e.g., Fed policy), but the long-term trend shows weakening correlation.
Speaker 2 mentions that "each correction is smaller," which is related to adoption growth. According to Chainalysis data, global cryptocurrency adoption grew 15% year-over-year in 2024, with institutional holdings rising from 5% in 2020 to 22% in 2025. A larger liquidity pool (e.g., average daily trading volume increasing from $20 billion in 2020 to $80 billion in 2025) buffers price shocks, leading to narrower drawdowns. However, extreme events (e.g., regulatory crackdowns) could still trigger corrections of over 50%, though the probability is lower.
If Bitcoin continues to follow a pattern of "halving drawdowns each cycle" (from 84% to 78% to 37%), the maximum drawdown in the next cycle (2028-2029) could fall below 20%. This would bring its volatility closer to gold (annualized volatility around 15%) or the S&P 500 (around 20%). However, this depends on continued market depth increases and a stable macro environment.
In summary, Speaker 2's data points reinforce the narrative of Bitcoin's volatility convergence, but continued monitoring of adoption and liquidity metrics is necessary to validate the trend.