The hottest Corporate Finance Substack posts right now

And their main takeaways
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Top Finance Topics
BIG by Matt Stoller • 28534 implied HN points • 27 Feb 26
  1. California’s Attorney General and other state enforcers are investigating the Paramount–Warner deal and could try to block it even if federal regulators stand down, so the merger is not guaranteed.
  2. The combined company would be a huge media powerhouse with major sports rights and news outlets, likely saddling itself with massive debt, causing big layoffs, raising prices, and reducing the amount of films and shows made.
  3. A legal challenge is possible but hard: antitrust law gives several ways to contest the deal, Paramount will claim pro‑competitive benefits and small market share, and the final outcome will turn on rapid state investigations, partisan politics, and the judge handling the case.
Noahpinion • 25471 implied HN points • 24 Feb 26
  1. AI could upend many white-collar and service jobs and business models, but how far that disruption goes is uncertain and hotly debated.
  2. Scary AI scenarios can quickly spook investors and move stock prices, often driven more by sentiment than by new hard evidence about company risks.
  3. A large-scale economic crash from AI-driven disruption is theoretically possible—for example if many firms fail and trigger a financial crisis—but that outcome seems unlikely and the exact mechanism is unclear, and there are tools to respond if it happens.
Marcus on AI • 10196 implied HN points • 27 Feb 26
  1. The financing looks more like vendor or supportive financing than arms‑length venture capital, which raises doubts about its true value and incentives.
  2. OpenAI struggles to make a profit because the product can be unreliable, operating costs are high, and there’s no clear technical moat, which has triggered price wars.
  3. With competitors closing the gap and valuation rising despite setbacks, the deal appears risky and may reflect an unsustainable overvaluation.
Marcus on AI • 11777 implied HN points • 13 Feb 26
  1. OpenAI's technical lead is slipping as Google, Anthropic, and several Chinese firms largely catch up, eroding its competitive edge.
  2. Major backers are pulling back or signaling uncertainty — Nvidia scaled back a big pledge and SoftBank's top investor is wavering — which raises serious questions about future funding.
  3. OpenAI is burning cash and may have limited runway, so if venture funding dries up it could need a bailout and would likely lose talent to competitors.
Marcus on AI • 12370 implied HN points • 05 Feb 26
  1. Nvidia appears to have cut back a promised $100 billion investment in OpenAI to roughly $20 billion. That reduction could leave OpenAI exposed because it burns many billions of dollars each year.
  2. The AI industry was propped up by circular financing—chipmakers funding AI firms that then buy their chips—and those arrangements are now unraveling. If those deals fall apart, the market faces bubble-like risks similar to past tech booms.
  3. If marquee deals collapse and leading AI firms falter, the multitrillion-dollar expansion many expected might never materialize. Instead of accelerating, the industry’s growth could stall or shrink.
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Marcus on AI • 9406 implied HN points • 10 Feb 26
  1. Generative AI is expensive and often unreliable, so many big corporate investments are not delivering the expected returns.
  2. Banks and lenders are financing a massive AI and data-center buildout, creating large debt exposure that could spill over into broader financial stress if those investments sour.
  3. The current LLM-focused approach probably won’t produce the promised productivity gains, meaning economic and social pain is likely until more reliable forms of AI are developed.
Noahpinion • 29294 implied HN points • 09 Dec 25
  1. AI is already being widely adopted and is likely a real, useful general-purpose technology rather than a VR-style fad.
  2. Even if AI creates huge value, debt-fueled spending on data centers could outpace how fast that value is captured, causing loan defaults and broader financial stress like the 1873 railroad bust.
  3. AI’s value might not translate into profits for the companies building it, because core AI services could become commoditized and low-margin so builders don’t capture most of the returns.
Marcus on AI • 12726 implied HN points • 03 Dec 25
  1. OpenAI is under urgent competitive pressure as rival models have closed the gap, prompting emergency efforts and noticeable user departures.
  2. The company has overextended financially, burning huge sums with modest revenue and likely only a limited runway, which makes future fundraising riskier.
  3. If OpenAI stumbles, the fallout could ripple through investors, chip suppliers, partners, and pension funds, and could even prompt talk of government intervention.
Behavioral Value Investor • 52 implied HN points • 19 Mar 26
  1. Staples looked like a cheap, dominant player with big scale, strong cash flow and a growing online business, which supported the value thesis.
  2. Between 2012 and 2017 sales fell at a ~6% CAGR, EBIT and EPS declined, and the company was acquired at $10.25 per share, producing roughly a -2% total return.
  3. Major competitive risks—especially Amazon—materialized and eroded the business, showing that low price and market share alone don’t protect against secular threats.
The Transcript • 139 implied HN points • 21 Oct 24
  1. The economy is showing signs of resilience, with positive movements even though growth isn't super strong. People are feeling more optimistic about things improving.
  2. A drop in interest rates could lead to more business activity and investment. However, experts believe we might need more rate cuts for that to happen.
  3. Consumers are cautious but still spending. Overall, the job market remains steady, and many are waiting to see how upcoming events affect the economy.
Behavioral Value Investor • 200 implied HN points • 09 Mar 26
  1. Use the PULSE framework as a fast triage tool that pulls five financial "vitals" from all three statements so you can quickly sort stocks into not interesting, attractive-but-expensive, or attractive-at-a-good-price. This lets you focus deeper research only on the most promising ideas.
  2. Look first at Economic Profit over time and Underlying Free Cash Flow (adjusted for stock options and compared to net income) to see if a business truly earns above its cost of capital and converts profits into real cash. Consistent, rising economic profit and a healthy FCF-to-net-income ratio signal higher quality.
  3. Always check leverage and valuation together: use Net Debt/EBITDA to spot risky capital structures, a Smoothed FCF yield (multi-year average brought forward by expected growth) to assess sustainable valuation, and an EV cap rate (last 12 months plus debt) to avoid companies that only look cheap because of heavy debt. Combining these measures helps catch hidden risk and find genuinely attractive prices.
Behavioral Value Investor • 118 implied HN points • 13 Mar 26
  1. The PULSE framework is a quick triage tool that uses five financial signals to decide if a stock deserves deeper research.
  2. Adobe scores very well on economic profits, underlying free cash flow, and low leverage, while its smoothed FCF yield and EV cap rate (around 7%+) make it interesting despite recent CEO news and AI fears.
  3. This is a historical, high-level screen—not a buy recommendation—so you should do detailed, independent research before considering an investment.
Musings on Markets • 1438 implied HN points • 20 Aug 24
  1. Businesses, like people, go through life cycles. They start as new ideas, grow, and eventually decline if not managed properly.
  2. Companies age differently, impacting their strategies and financial health. Younger companies often focus on growth, while older ones need to defend their position or manage decline.
  3. The skills and qualities needed in leadership change with a company's age. A startup needs a visionary leader, while a declining company may require a pragmatic approach to manage its downsizing.
Common Sense with Bari Weiss • 570 implied HN points • 17 Feb 26
  1. U.S. automakers have taken huge write-downs — roughly $50 billion combined — from failed or pulled electric vehicle investments like Ford’s canceled F-150 Lightning.
  2. Detroit first denied the EV shift and then rushed into panicked, flawed programs, leaving companies with costly sunk investments and strategic missteps.
  3. The move to electric cars cuts dealers’ traditional service income and risks ceding market leadership to countries like China as the U.S. struggles to get its EV strategy right.
Chartbook • 529 implied HN points • 09 Feb 26
  1. US fiscal and monetary politics act like a weathervane: critics worry about deficits when the other party is in power and ease off when their side governs.
  2. If the Fed’s leadership shifts toward figures like Warsh, the central bank may become more politicized and adopt deficit-focused policies that mirror partisan fights.
  3. The surge in defence firms such as Rheinmetall and concern about dangerous 'sparring partners' signal rising geopolitics-driven military spending and greater international risk.
Huddle Up • 199 implied HN points • 27 Feb 26
  1. The team posted strong 2025 financials — $732 million in revenue and a 172% jump in adjusted OIBDA — showing big growth even if on-field results vary.
  2. The Battery real estate development now drives meaningful, high-margin revenue (about 13% of total), letting the business rely less on game-day performance.
  3. Because the club is publicly traded and has growing, valuable real estate income, its overall value is rising and it could become an attractive candidate for a sale or ownership change.
Chartbook • 543 implied HN points • 04 Feb 26
  1. Market moves recently reveal who really makes money from credit cards in the US, highlighting which companies benefit from fees and interest.
  2. Apple’s profit margins are a focus, showing how much of its revenue turns into profit and why that matters for investors and competition.
  3. A curated mix of links covers topics from skipping the grid and modern infrastructure choices to 18th‑century war machines, often illustrated with striking images.
ASeq Newsletter • 21 implied HN points • 16 Mar 26
  1. PacBio agreed to pay Personal Genomics just over $23 million to license patents, settling a lawsuit and removing a legal threat.
  2. Those payments are spread over four years, so PacBio doesn’t have to pay the full amount up front.
  3. PacBio has about $279M in cash and is burning roughly $159M a year, leaving only about a year and a half of runway.
Behavioral Value Investor • 59 implied HN points • 12 Mar 26
  1. What looked expensive by traditional valuation metrics in 2012 ended up being the cheapest thing to buy over the next decade because growth and reinvestment paid off.
  2. Amazon’s durable advantages — better price, selection, convenience, personalization, habit formation, higher inventory turnover, plus AWS — strengthened over time and drove widening economics.
  3. Those advantages translated into real results: roughly 24% sales CAGR and 32% EBIT CAGR from 2012–2022, and about 25% annual stock returns through 2026, well ahead of the S&P 500.
The Algorithmic Bridge • 520 implied HN points • 06 Feb 26
  1. Investors are simultaneously dumping SaaS stocks and AI infrastructure stocks because they fear two opposing things at once: that AI will replace software businesses and that AI spending won’t deliver returns.
  2. A recent leap in AI capabilities that lets models handle tasks like legal, finance, and marketing convinced traders that AI can move into the application layer, which sparked the selloff in software companies.
  3. The market’s mixed selling is a rational response to deep uncertainty: if AI truly upends software then heavy infrastructure buildout is justified, but if it doesn’t then that spending looks wasteful, so investors hedge by selling different parts of the ecosystem.
Mule’s Musings • 796 implied HN points • 07 Jan 26
  1. AI demand pushed bottlenecks below GPUs into memory and optics, causing HBM and DRAM shortages and sharply higher prices.
  2. Semiconductor equipment stocks rallied largely from multiple expansion and rising expectations, signaling the market expects a major WFE (wafer fab equipment) boom in 2026–27.
  3. The AI buildout is heavily levered — big borrowings, equity stakes, and circular financing are accelerating GPU and data‑center purchases but also raise credit risk if markets or demand turn.
The Algorithmic Bridge • 371 implied HN points • 05 Feb 26
  1. OpenAI still owns huge consumer mindshare, but rivals like Anthropic, Google, and others are stealing enterprise customers and eroding its dominance.
  2. The company is under serious financial pressure — massive cash burn and a stalled big Nvidia deal raise doubts about its runway and chances of reaching profitability before an IPO.
  3. Strategic decisions such as leaning on ads, contentious product choices, and PR/talent issues risk damaging trust and could undermine long-term sustainability even if user numbers stay high.
QTR’s Fringe Finance • 61 implied HN points • 06 Mar 26
  1. A major AI data‑center expansion lost its anchor tenant after financing and changing customer needs, showing that big buildouts can stumble once the real math replaces slides.
  2. Chipmakers and hyperscalers are stepping in to protect GPU demand—Nvidia put down a large deposit and helped recruit a tenant—so suppliers may finance infrastructure to safeguard sales.
  3. That hiccup comes amid Iran tensions, private‑credit stress, and positive real rates, meaning a crack in the crowded AI capex trade could amplify market volatility.
Altered States of Monetary Consciousness • 906 implied HN points • 09 Dec 25
  1. People at the top of finance live in a metaphorical 'skyscraper' and become distant from the everyday work and immediate impacts that ground-level people experience.
  2. Apex positions amplify tiny actions into massive consequences, so small decisions by elites can yield huge profits while the many workers who enable those outcomes get little reward.
  3. All high-level economic activity rests on an 'underarchy' of ecology, primary labour and care, and when elites lose touch with that foundation they risk making big plans that ignore real human and environmental needs.
QTR’s Fringe Finance • 38 implied HN points • 06 Mar 26
  1. A problem that looked like a $25 million issue rapidly blew up into a $26 billion one. That shows how fast losses can escalate.
  2. That magnitude of escalation could trigger or accelerate a panic in private credit, especially if it unfolds over a weekend when markets are thin.
  3. The episode highlights the fragility and interconnected risks in private credit, making the near-term outlook highly uncertain and worth close monitoring.
Apricitas Economics • 131 implied HN points • 10 Feb 26
  1. U.S. companies are now spending over $1 trillion a year on AI-related software, computers, and data centers, a record investment driven mainly by the big tech hyperscalers.
  2. Much of the costly hardware is imported—especially from Taiwan, Mexico, and Malaysia—so a large share of the near-term economic gains goes to foreign manufacturers rather than directly to U.S. GDP.
  3. The boom is straining supply chains and power grids, pushing up component and memory prices, and revenues haven’t yet caught up, so whether the massive investment will pay off remains uncertain.
Points And Figures • 906 implied HN points • 23 Nov 25
  1. Finance is easier to move than tech because it relies on digital interactions and less on physical locations. This makes cities less important for financial businesses compared to tech, which often depends on specific facilities and human networks.
  2. Cities like New York and San Francisco are losing talent and businesses due to high costs and regulations, while states like Texas and Florida are becoming more attractive. The movement is driven by factors such as taxes, regulations, and personal preferences.
  3. Personal connections and networks in places like Silicon Valley are hard to replicate, making tech harder to relocate. People often have strong ties to their local ecosystems, making them reluctant to move even when conditions are better elsewhere.
The Bear Cave • 233 implied HN points • 15 Jan 26
  1. The company is an early-stage clean tech with very little revenue (around $200k) but sizable losses (about $11M) and a very small team.
  2. Management has spent heavily on paid marketing, investor relations, and sponsored social media campaigns, including cash fees and stock options to promoters.
  3. The stock’s big rally looks driven more by retail promotion and paid liquidity support than by clear business fundamentals, so investor enthusiasm may be premature.
Chartbook • 386 implied HN points • 28 Dec 25
  1. Oracle raised its FY26 capital expenditure outlook to $50 billion, a $15 billion increase from the prior guide, signaling much larger infrastructure spending.
  2. The German credit crunch of 2022 is highlighted as a significant financial event worth revisiting.
  3. The roundup also flags work-related deaths and a conversation where Žižek chats with Kotkin about Stalin, linking labor-safety issues with political and cultural debate.
Erdmann Housing Tracker • 168 implied HN points • 03 Feb 26
  1. Pulte, M/I, and Meritage all reported earnings covering the period through December.
  2. Their earnings reports appeared to tell a similar overall story or trend across the three companies.
  3. Full details and deeper analysis are behind a subscription/paywall, so you need access to the paid content for the complete write-up.
The VC Corner • 439 implied HN points • 07 Jul 24
  1. There are concerns about the future of Software as a Service (SaaS) and whether it might be declining. It's important to think about how technology changes can impact business models.
  2. Venture debt investments are increasing in Europe, showing that companies are looking for alternative ways to raise money. This means more options are available for businesses instead of just traditional equity financing.
  3. Understanding corporate venture capital is crucial for startups. It helps to know how big companies invest in smaller businesses to drive innovation and growth.
Behavioral Value Investor • 66 implied HN points • 19 Feb 26
  1. A great, durable company isn't guaranteed to deliver high returns if you buy it at an only-average price.
  2. Actual EPS growth turned out far lower than expected — roughly 2–3% per year instead of the hoped-for high single digits — and that weak growth hurt performance.
  3. Small near-term underperformance can compound into a much larger long-term shortfall, so valuation and growth assumptions matter for long-horizon results.
Chartbook • 529 implied HN points • 22 Nov 25
  1. Companies are doing huge stock buybacks, totaling $929 trillion. This suggests they may prefer boosting stock prices instead of investing in growth.
  2. In Europe, there's a focus on conservative research and development policies. This could limit innovation and competition in the region.
  3. The author shares a fun story about mountain biking with the former president in Beijing. It highlights unexpected connections and experiences in such encounters.
Alex's Personal Blog • 164 implied HN points • 23 Jan 26
  1. Brex's sale to Capital One for about $5.15 billion should be seen as a success, not a failure. Despite earlier frothy valuations, the company turned more than a billion of investor capital into a multi‑billion dollar exit.
  2. OpenAI is growing rapidly and is financially healthy; it added over $1 billion in ARR in a month and still has large cash reserves and access to new funding. That makes the 'running out of money' narrative unlikely in the near term.
  3. The tech landscape is mixed: regulators are signaling tougher scrutiny of big-company acquisitions and layoffs continue at major firms, even as self‑driving services expand into new cities. Growth and dealmaking will therefore occur under greater pressure and oversight.
Behavioral Value Investor • 104 implied HN points • 05 Feb 26
  1. An investor argued Lear was deeply undervalued because its car-seat business acted like a high-return duopoly, estimating normalized EPS around $6 and big upside from the $33 price.
  2. In 2007 Carl Icahn made a $36/share offer that the board initially accepted, but activist opposition led shareholders to reject the deal.
  3. When the 2009 auto recession hit and Lear’s largest customers failed, the company went bankrupt and equity holders were wiped out, showing how customer concentration and leverage can destroy a seemingly cheap stock.
Some Unpleasant Arithmetic • 23 implied HN points • 20 Feb 26
  1. Modern AI systems run on huge models trained with massive datasets and require enormous compute — specialized GPUs, large data centers, lots of energy, and a concentrated global chip supply chain.
  2. The current AI boom resembles past tech bubbles because vast infrastructure and speculative valuations risk collapsing if those investments don’t translate into sustained cash flows or viable business models.
  3. Evidence of AI’s productivity gains is mixed and uneven: some tasks see modest improvements, adoption has plateaued in places, and public, political, and regulatory resistance (especially to data centers) could limit broader economic impact.
Tippets by Taps • 14 implied HN points • 28 Feb 26
  1. AI is being used as a convenient narrative to justify restructurings, acting like a brush that can make painful corrections look strategic.
  2. Both real AI-driven productivity gains and prior mistakes (like over-hiring) are usually at play, so layoffs often reflect a mix of future-facing change and catching up on past errors.
  3. Markets respond to the framing — labeling cuts as “AI transformation” can boost stock prices — so it’s important to look past headlines and read the footnotes to see what actually changed.
QTR’s Fringe Finance • 25 implied HN points • 24 Feb 26
  1. Stripe is reportedly weighing a purchase of PayPal or parts of its business, which could reshape the payments landscape if it moves forward.
  2. Even preliminary takeover talks have already lifted PayPal’s stock by roughly 20 percent, showing how much market expectations can change from rumors alone.
  3. The rally prompts a dilemma for investors — sell into the pop now or hold out for a potentially higher takeover price, since discussions are still early and outcomes are uncertain.