The Price of Everything
On a Monday morning in January 2021, David Schwimmer — not the actor, the other one, the Goldman Sachs veteran who had spent two decades building the bank's technology and data infrastructure before taking the helm of the London Stock Exchange Group in August 2018 — stood before a virtual audience of institutional investors and made a claim that, parsed carefully, amounted to the most consequential strategic assertion in the history of European financial infrastructure: LSEG was no longer an exchange. It was a data company. The acquisition of Refinitiv, which had closed just days earlier on January 29, had cost £27 billion including assumed debt, represented the largest deal in European financial services in a decade, and transformed a 300-year-old institution that once existed to facilitate the buying and selling of securities into something entirely different — an open-access financial data and analytics platform whose exchange operations, the thing most people associated with the name, would account for barely a fifth of group revenue. The bet was staggering in its ambition and clarifying in its logic: in a world where information moves faster than capital, owning the pipes through which data flows is worth more than owning the venue where trades execute. Whether that logic would survive contact with integration complexity, with Refinitiv's tangled legacy technology stack, with the cultural collision between a centuries-old London institution and a business carved out of Thomson Reuters just three years prior — that was the £27 billion question.
The answer, four years later, is more interesting than a simple yes or no.
By the Numbers
LSEG at Scale
£8.7BTotal revenue, FY2024
~£50BMarket capitalisation (mid-2025)
~25,000Employees across 65+ countries
£27BRefinitiv acquisition value (inc. debt)
~70%Revenue from Data & Analytics
6.8%Organic revenue growth, FY2024
£3.1BCapital returned to shareholders, FY2024
What LSEG has become — and what it is still becoming — is a study in the rarely attempted and even more rarely successful transformation of a legacy franchise into a technology platform. The London Stock Exchange was founded in Jonathan's Coffee House in 1698. For most of the intervening centuries, its competitive advantages were physical: proximity to the City, the trust of market participants, the liquidity that accretes to the venue where everyone already trades. Those advantages were real but brittle, subject to the relentless commoditisation of trade execution by electronic markets and regulatory mandates for competition. By the 2010s, it was clear that exchanges qua exchanges were heading toward utility economics — thin margins, heavy regulation, limited pricing power. The companies that escaped this fate did so by pivoting up the value chain, from transaction venues to information empires. ICE bought Ellie Mae and became a mortgage technology company. Nasdaq bet on surveillance and corporate services. CME Group deepened its derivatives data monopoly. LSEG's version of this pivot was, by any measure, the most dramatic: rather than building incrementally, it swallowed a company three times its size and attempted to digest it while simultaneously migrating a $6 billion-revenue operation onto Microsoft Azure.
The Coffee House and the Cathedral
The London Stock Exchange's origin story is, like most origin stories in finance, both more prosaic and more revealing than the official mythology suggests. John Castaing began publishing a list of stock and commodity prices at Jonathan's Coffee House in Exchange Alley around 1698 — a handwritten sheet that represented, in embryonic form, the core insight that would define LSEG three centuries later: the value isn't in the trade, it's in the price. The coffee house became a subscription room, the subscription room became the Stock Exchange in Capel Court in 1801, and for nearly two centuries the institution operated as a mutual owned by its member firms, a club whose power derived from controlling access.
The modern corporate history begins in 2000, when the Exchange demutualised and, in 2001, listed its own shares — a recursive act of remarkable symbolism. Xavier Rolet, the French-born former Goldman Sachs and Lehman Brothers banker who served as CEO from 2009 to 2017, began the strategic reorientation that Schwimmer would later complete. Rolet acquired Frank Russell Company in 2014 for $2.7 billion, securing the Russell indices — the Russell 2000, the Russell 1000 — that underpinned trillions of dollars in passive investment products. He attempted a "merger of equals" with Deutsche Börse in 2017 that the European Commission blocked on competition grounds, a failure that paradoxically liberated LSEG to pursue a different and ultimately more transformative path.
Schwimmer arrived in 2018 with a mandate to think bigger. His background was unusual for an exchange CEO — not a trader, not a market structure specialist, but a technologist and dealmaker who had run Goldman's Japan and Asia-Pacific operations before leading its technology division. He understood, in a way that perhaps only someone from the buy side of infrastructure could, that the exchange's most valuable asset wasn't its matching engine but its data exhaust, and that the real prize in financial infrastructure wasn't processing transactions but becoming the operating system through which financial professionals understood the world.
Refinitiv: The $27 Billion Inversion
The Refinitiv deal, announced in August 2019 and closed in January 2021 after a tortuous regulatory approval process spanning over a dozen jurisdictions, was the kind of transaction that either defines or destroys a CEO's legacy. There is very little middle ground when you acquire a company that instantly makes your existing business the minority of your own revenue.
Refinitiv itself was a corporate orphan. Thomson Reuters had combined its financial data business with Reuters' terminal and trading operations over decades, building a sprawling, revenue-rich but technologically fragmented empire that competed — unsuccessfully, in the most lucrative segments — with Bloomberg's terminal monopoly. In 2018, the Blackstone Group led a consortium that acquired a 55% stake in the financial and risk division for approximately $20 billion, renaming it Refinitiv. The plan was classic private equity: rationalise costs, invest in technology, improve margins, and exit. The exit came faster and at a higher price than anyone anticipated — Schwimmer offered a deal valuing Refinitiv at approximately $27 billion, with LSEG paying in a mix of cash and shares. The Thomson Reuters Corporation retained a significant stake in the combined entity, eventually settling at around 8.2% (having reduced from an initial ~15% through a series of share sales and buybacks).
We are building an open-access infrastructure and data business that connects the global financial ecosystem. That is fundamentally different from being an exchange.
The strategic logic was both simple and audacious. Refinitiv brought approximately $6 billion in annual revenue, more than 40,000 institutional customers, the Eikon terminal franchise (approximately 190,000 desktop users compared to Bloomberg's ~325,000), the Elektron real-time data network, the world's largest over-the-counter fixed income trading venue (Tradeweb, in which Refinitiv held a majority stake subsequently reduced), and — critically — the FTSE Russell index business that Rolet's Russell acquisition had partially anticipated would find its natural partner. Combining LSEG's clearing infrastructure (LCH), its equities and derivatives markets, and the FTSE Russell franchise with Refinitiv's data, desktop, and trading capabilities created something that looked less like an exchange and more like a financial information utility.
The numbers were compelling on paper. The combined entity would generate approximately £6.5 billion in revenue with targeted annual cost synergies of £350 million within five years. The deal would shift LSEG's revenue mix decisively toward subscription and recurring data revenues — more predictable, higher-margin, and commanding higher valuation multiples than transactional exchange income.
What the numbers didn't capture was the integration challenge. Refinitiv's technology stack was, by most accounts, a geological formation — layers of legacy systems accumulated through decades of Thomson Reuters acquisitions, imperfectly merged, running on aging on-premise infrastructure. Some systems dated to the 1980s. The desktop product, rebranded from Thomson Reuters Eikon to Refinitiv Eikon and eventually to LSEG Workspace, was functional but lacked the seamless integration and data depth that made Bloomberg's terminal so sticky. Bloomberg's moat was never just data — it was the chat function, the workflow integration, the fact that a portfolio manager could do everything from their terminal without ever leaving the ecosystem. Eikon had data but not the gravitational pull.
The Microsoft Alliance: Cloud as Competitive Weapon
Schwimmer's second major strategic bet — arguably as consequential as the Refinitiv acquisition itself — was the partnership with Microsoft announced in December 2022. Under the terms of a ten-year strategic agreement, LSEG committed to migrating its data platform infrastructure to Microsoft Azure and integrating its data and analytics capabilities with Microsoft Teams, Microsoft 365, and the broader Microsoft ecosystem. Microsoft, for its part, acquired approximately a 4% equity stake in LSEG for roughly £1.5 billion and committed significant engineering resources to the collaboration.
The logic was, again, elegant in concept and daunting in execution. LSEG's weakness relative to Bloomberg was the desktop — Bloomberg's terminal was the default workflow tool for hundreds of thousands of financial professionals, and displacing it through a frontal assault on terminal features was a losing proposition. But what if you didn't compete with the terminal at all? What if, instead of trying to get traders to switch to your screen, you embedded your data directly into the tools they already used — Microsoft Teams, Excel, Outlook, PowerPoint? Microsoft had approximately 320 million monthly active Teams users and more than a billion Office users. If even a fraction of the financial professionals within that base consumed LSEG data through their existing Microsoft workflow, the addressable market for LSEG's data products would expand dramatically without requiring a terminal-switching decision.
This was, in effect, the anti-Bloomberg strategy. Bloomberg's power came from owning the proprietary desktop. LSEG's counter was to make the desktop irrelevant by distributing data through open, ubiquitous platforms. In Schwimmer's framing, the future was "open access" — data available through APIs, cloud delivery, and embedded workflow integrations rather than locked behind a proprietary terminal.
The Microsoft partnership is not just about technology migration. It is about fundamentally changing the way financial data is distributed and consumed.
The early returns were mixed but directional. By late 2024, LSEG had begun rolling out integrated data feeds within Microsoft Teams — a financial professional could access LSEG real-time pricing, news, and analytics without leaving a Teams conversation. The migration to Azure was proceeding, with significant portions of the data platform moved to cloud infrastructure. The AI integration — using Microsoft's Copilot and Azure OpenAI services to create natural-language queries over LSEG's datasets — was in early deployment, allowing users to ask questions like "What are the top-performing FTSE 100 stocks by dividend yield this quarter?" and receive structured responses drawn from LSEG data.
But the partnership also carried risks that were not lost on analysts. LSEG was, in effect, outsourcing a critical layer of its technology stack to a partner whose own ambitions in financial data were not entirely clear. Microsoft had invested in financial data capabilities before. The dependency created leverage — if the partnership soured, unwinding a ten-year cloud migration would be extraordinarily costly. And the bet on Teams as a financial workflow platform assumed that the industry would move away from Bloomberg's terminal ecosystem, an assumption that Bloomberg, with its $12 billion in annual revenue and fanatical user base, was aggressively contesting.
FTSE Russell: The Quiet Empire
If Refinitiv was the headline acquisition and Microsoft the technology bet, FTSE Russell was the strategic jewel that made the whole architecture cohere. The index business — formed from the 2014 Russell acquisition, the existing FTSE International partnership, and various smaller additions — was, by 2024, generating approximately £1 billion in annual revenue, growing at double digits, and operating at margins that would make a software company envious.
The economics of index businesses are among the most attractive in financial services, and they are so because of a structural asymmetry that most outsiders underappreciate. An index is, at its simplest, a list — a rules-based composition of securities that defines a market or strategy. The Russell 2000 is a list of 2,000 small-cap U.S. stocks. The FTSE 100 is a list of the 100 largest companies on the London Stock Exchange by market capitalisation. These lists cost relatively little to maintain but generate revenue through multiple channels: licensing fees from ETF providers and asset managers who use the indices as benchmarks, fees from derivatives exchanges that list futures and options on the indices, and data licensing fees from the financial institutions that consume index data.
The power of an index franchise lies in its embeddedness. Once a passive fund is built on the Russell 2000, switching to a competing small-cap index would require selling every holding and buying a new portfolio — incurring transaction costs, triggering tax events, and confusing investors. The benchmark, once established, becomes self-reinforcing: more assets track it, which generates more demand for derivatives on it, which generates more demand for data about it, which reinforces its status as the benchmark. FTSE Russell's indices, by 2024, served as benchmarks for an estimated $16.5 trillion in assets under management across global markets.
The index business also served as the connective tissue between LSEG's data platform and its capital markets operations. A fund manager using FTSE Russell benchmarks would naturally consume LSEG data to track their performance, trade on LSEG venues to rebalance their portfolios, and clear through LCH. The index created what economists call a demand-side economy of scope — a reason for customers to buy multiple products from the same provider, not because of bundling discounts but because the products were genuinely more valuable together.
LCH: Clearing as Fortress
The other crown jewel in LSEG's portfolio was less glamorous but arguably more defensible: LCH, the multi-asset clearing house that processed approximately $3.6 trillion in notional value daily and held a dominant position in interest rate swap clearing — roughly 90% of global cleared OTC interest rate derivatives by some estimates. LCH's SwapClear service was, in the sober assessment of multiple regulators, systemically important infrastructure — a designation that conferred both regulatory privilege and regulatory scrutiny in roughly equal measure.
Clearing is one of those businesses that exists at the intersection of boring and terrifying. A clearing house interpenetrates itself between the buyer and seller of every trade, becoming the counterparty to both sides. If a major bank defaults on a derivative position, the clearing house absorbs the shock, using its waterfall of margin deposits, default fund contributions, and its own capital to prevent the default from cascading through the financial system. The 2008 financial crisis demonstrated, with painful clarity, what happens when derivatives trade bilaterally without central clearing — AIG's uncleared credit default swaps nearly brought down the global financial system. The post-crisis regulatory response, embodied in the Dodd-Frank Act in the U.S. and EMIR in Europe, mandated central clearing for standardised OTC derivatives, creating a regulatory moat around established clearing houses that new entrants could not easily breach.
LCH's dominance in interest rate swaps was self-reinforcing through a mechanism that clearing specialists call "netting efficiency." Because LCH cleared the overwhelming majority of interest rate swaps, a dealer submitting a new trade to LCH could net it against their existing portfolio of cleared swaps, reducing their margin requirements. Moving that same trade to a competing clearing house with a smaller existing portfolio would require posting more margin — a direct cost that discouraged switching. The more volume LCH cleared, the more efficient it became for participants, and the more participants were locked in.
This was LSEG's deepest moat, and it was also the subject of one of the most significant geopolitical dramas in post-Brexit European finance. After the United Kingdom left the European Union, EU regulators faced an uncomfortable reality: the vast majority of euro-denominated interest rate swap clearing occurred in London, outside EU regulatory jurisdiction. The European Commission repeatedly threatened to force EU institutions to clear their euro swaps within the EU — a location policy that would have directly attacked LCH's dominance. As of mid-2025, temporary equivalence arrangements had been extended, but the threat lingered, a sword of Damocles that periodically rattled LSEG's share price and animated Brussels policy debates.
The substantial reliance on UK-based CCPs for clearing services in certain asset classes ... gives rise to potential financial stability concerns for the Union.
The Integration Machine
By mid-2025, the Refinitiv integration was substantially complete — or at least, LSEG said it was substantially complete, and the financial metrics largely supported the claim. The company reported achieving the full £350 million in targeted annual cost synergies, originally expected by 2025, roughly on schedule. The rebranding was finished: Eikon terminals became LSEG Workspace, Elektron became LSEG Real-Time, the Refinitiv name was retired. The organisational structure had been unified around three divisions — Data & Analytics (approximately 70% of revenue), Capital Markets (the exchange and trading venues), and Post Trade (LCH clearing and settlement).
But the integration was not without casualties. Customer satisfaction, as measured by third-party surveys and analyst commentary, had dipped during the transition period. Some long-standing Refinitiv customers complained about service disruptions during platform migrations. The pace of innovation on the desktop product, while accelerating, still lagged Bloomberg's relentless improvement cadence. And the cultural integration — merging the conservative, regulation-first mentality of a centuries-old exchange with the scrappier, more commercial culture of a private-equity-owned data company — was, by several accounts, a protracted and sometimes painful process.
The technology migration was the deepest challenge. Refinitiv's legacy infrastructure comprised thousands of applications running on disparate systems. Moving these to Azure while maintaining the sub-millisecond latency requirements of real-time financial data was an engineering challenge of extraordinary complexity. LSEG invested heavily — capital expenditure and capitalised software development spending ran to approximately £700–800 million annually — and the results were gradually visible in improved platform performance and the enablement of new AI-driven features.
The financial trajectory, though, was undeniable. LSEG's total income grew from approximately £6.6 billion in 2021 (the first full year including Refinitiv) to approximately £8.7 billion in FY2024, representing a compound annual growth rate of roughly 10%. Adjusted operating margins expanded from the low 40s to approximately 48–49% as synergies were realised and the revenue mix shifted toward higher-margin data and index products. Earnings per share grew at a faster clip, boosted by margin expansion and aggressive share buybacks — the company returned approximately £3.1 billion to shareholders in FY2024 through dividends and repurchases.
The Bloomberg Question
Every analysis of LSEG eventually arrives at the same gravitational centre: Bloomberg. The comparison is both inevitable and, in some ways, misleading. Bloomberg LP, the privately held financial data and media empire founded by
Michael Bloomberg in 1981, generates approximately $12–13 billion in annual revenue — the overwhelming majority from its terminal business, which charges approximately $24,000–$27,000 per user per year and has approximately 325,000–350,000 subscribers. The terminal is, by most measures, the single most successful enterprise software product in financial services history.
LSEG's Workspace product, with roughly 190,000 desktop users paying lower average fees, is the second-largest financial terminal franchise — and second place, in this particular market, feels more like fifth. Bloomberg's retention rates are legendary, its user experience has improved dramatically over the past decade, and its chat function — Bloomberg Messaging — is the de facto communication platform for the global trading community, a network effect that Eikon and now Workspace have never cracked.
Schwimmer's response to the Bloomberg question was, from the beginning, to reframe it. LSEG wasn't trying to beat Bloomberg at the terminal game. It was trying to make the terminal-centric model of data distribution obsolete — or at least insufficient. The bet on Microsoft, the emphasis on APIs and data feeds, the investment in cloud-native delivery — these were all elements of a strategy that said, in effect: the next generation of financial data consumption won't happen on a proprietary terminal. It will happen in Excel, in Teams, in Python notebooks, in custom dashboards built on cloud-delivered data. LSEG wanted to be the data layer underneath all of those.
Whether this thesis proves correct is perhaps the most consequential strategic question in financial information. Bloomberg's counter-argument is equally compelling: in a world drowning in data, the integrated terminal that curates, contextualises, and delivers everything in one place is more valuable, not less. The terminal is not just data — it is workflow, it is community, it is identity. Financial professionals don't just use Bloomberg; they are Bloomberg users.
The Tradeweb Divestiture and Capital Discipline
One of the less discussed but strategically significant moves in Schwimmer's tenure was the methodical reduction of LSEG's stake in Tradeweb Markets, the electronic fixed-income trading platform that had come to LSEG as part of the Refinitiv acquisition. Refinitiv had held a majority stake in Tradeweb, which went public in 2019 at a valuation that subsequently expanded dramatically as electronic trading of bonds and derivatives accelerated. LSEG reduced its stake through a series of secondary offerings, realising billions in proceeds that funded share buybacks and debt reduction. By early 2025, LSEG's remaining stake in Tradeweb had been reduced to roughly 4.9%, with the sales generating cumulative proceeds exceeding £4 billion.
The Tradeweb disposals were revealing of Schwimmer's capital allocation philosophy. Here was a fast-growing, high-margin business in electronic trading — exactly the kind of asset most conglomerates would trumpet as a growth engine. But retaining a controlling stake in Tradeweb created regulatory and competitive complexities — rival trading venues were wary of connecting to a platform majority-owned by LSEG, and antitrust regulators had flagged the cross-ownership during the Refinitiv deal review. Selling down the stake removed these frictions, generated cash for higher-return uses, and simplified the corporate structure. It was disciplined, unsexy, and almost certainly value-creative.
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Capital Allocation, FY2022–2024
LSEG's shareholder returns and strategic investments
| Year | Share Buybacks | Dividends | Capital Returns (Total) | Capex + Software |
|---|
| FY2022 | ~£1.0B | ~£0.6B | ~£1.6B | ~£700M |
| FY2023 | ~£1.5B | ~£0.7B | ~£2.2B | ~£750M |
| FY2024 | ~£2.3B | ~£0.8B | ~£3.1B | ~£800M |
Three Centuries in a Sentence
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LSEG: A Strategic Timeline
Three hundred years of evolution, from coffee house to cloud
1698John Castaing publishes stock prices at Jonathan's Coffee House — the proto-exchange.
1801The Stock Exchange formally established at Capel Court, London.
2000London Stock Exchange demutualises; lists its own shares in 2001.
2007LSE acquires Borsa Italiana for €1.6 billion, creating a pan-European exchange.
2009Xavier Rolet becomes CEO; begins strategic pivot toward data and indices.
2014Acquires Frank Russell Company for $2.7 billion; forms FTSE Russell.
2017Proposed merger with Deutsche Börse blocked by European Commission.
The arc of this timeline reveals something that purely financial analysis misses. LSEG's transformation was not a single decision but a cascading series of bets, each building on the last, each raising the stakes. The Russell acquisition gave LSEG an index business. The index business gave it a reason to own a data platform. The data platform required Refinitiv. Refinitiv required a technology partner. The technology partner required Microsoft. Each step was logical in sequence but, viewed as a whole, represented a total reinvention executed while the institution continued to operate critical market infrastructure that could not tolerate a moment of downtime.
This is the underappreciated difficulty of LSEG's transformation. It's not a startup building greenfield technology. It's a systemically important financial institution — designated as such by regulators in multiple jurisdictions — that must simultaneously run a stock exchange, operate a clearing house that stands behind trillions in derivative exposures, deliver real-time data to hundreds of thousands of users, and reinvent its technology stack. The margin for error is not thin. It is, in certain operations, zero.
The Weight of the Workspace
By early 2025, LSEG Workspace — the rebranded, cloud-migrated successor to Eikon — was the company's most visible product and its most persistent vulnerability. The desktop was the face of the franchise, the thing that financial professionals opened every morning, the surface through which data became decision. And it was, by most candid assessments, better than it had been — faster, more integrated, increasingly capable — but still not great.
The complaints were familiar to anyone who had tracked the Eikon-to-Workspace transition: latency issues during peak trading hours, an interface that was cleaner than old Eikon but still lacked Bloomberg's intuitive keyboard-driven navigation, data gaps in certain asset classes where Bloomberg's coverage was deeper, and the persistent absence of a chat function with anything approaching Bloomberg Messaging's network penetration. LSEG was investing aggressively — the Microsoft AI integrations, the natural language search capabilities, the embedding of data in Teams — but each improvement was measured against a competitor that was also improving, and faster than its reputation for complacency would suggest. Bloomberg had invested billions in its terminal's user experience over the past five years, adding advanced analytics, improving its mobile application, and building its own AI capabilities.
The market share dynamics reflected this competitive reality. Workspace's user base was roughly stable to modestly growing — new wins in the corporate and buy-side segments partially offset ongoing competitive pressure from Bloomberg in the sell-side and trading segments. The average revenue per user was increasing, driven by upselling analytics and data modules, but the terminal business was not the growth engine. LSEG's growth was being driven by the data feeds and enterprise data businesses — the unglamorous, API-delivered, machine-consumed data products that didn't have a screen but generated increasing revenue as financial institutions consumed more data for algorithmic trading, risk management, regulatory compliance, and, increasingly, AI model training.
The AI Inflection
The arrival of large language models and generative AI in 2023–2024 created what LSEG's leadership described as the most significant opportunity since the Refinitiv acquisition. The logic was straightforward: LSEG sat on one of the world's largest repositories of structured financial data — decades of pricing history, corporate actions, earnings estimates, economic indicators, and real-time market feeds across virtually every asset class and geography. This data, in a pre-AI world, was valuable as input for human-designed models and human-driven decisions. In an AI world, the same data became training fuel for large language models, retrieval-augmented generation systems, and autonomous trading agents — and the value per unit of data potentially increased dramatically.
The Microsoft partnership positioned LSEG to move quickly. By integrating with Azure OpenAI services, LSEG could offer customers the ability to query its datasets using natural language, generate automated research summaries, screen for investment opportunities using conversational prompts, and build custom AI workflows on LSEG data. The early products — branded as part of the Workspace platform and available through APIs — showed promise but were, as of mid-2025, still more demonstration than deployment at scale.
The deeper AI opportunity, and the one that made LSEG's data assets most strategically valuable, was in the enterprise data licensing business. Major financial institutions, technology companies, and AI labs all needed high-quality, structured financial data to train and operate their models. LSEG was one of a small number of providers — alongside Bloomberg, S&P Global, and a handful of others — with the breadth, depth, and permissioning structure to offer this data at scale. The pricing models were evolving rapidly: traditional per-user terminal fees were giving way to enterprise data licenses, API consumption pricing, and — most provocatively — data licensing agreements priced on the value of the AI models they enabled rather than the volume of data consumed.
We are at the early stages of what AI can do with financial data. The organisations that have the most comprehensive, highest-quality datasets will be the ones that benefit most from this transformation.
The Gravity of Data
In the final months of 2024, LSEG's Data & Analytics division reported organic revenue growth of approximately 7% — not a headline-grabbing number in isolation, but one that, understood in context, revealed the structural power of the business Schwimmer had assembled. The division's revenue was approximately £6 billion, overwhelmingly recurring and subscription-based, with net revenue retention rates above 98%. Customer concentration was low — no single client accounted for more than a small percentage of revenue. And the division's growth was accelerating even as the broader financial services technology spending environment moderated, driven by the AI-related demand for data and the gradual penetration of the Microsoft channel.
The comparison that best illuminated LSEG's position was not Bloomberg but S&P Global. When S&P Global acquired IHS Markit for $44 billion in 2022, it created a financial data conglomerate with approximately $13 billion in revenue and a portfolio spanning credit ratings, indices, market intelligence, and commodity data. LSEG and S&P Global were, in many ways, convergent competitors — both had evolved from single-product franchises (an exchange, a rating agency) into diversified financial information platforms, both were investing in cloud delivery and AI, and both derived their competitive advantage from the irreplaceability of their proprietary datasets.
But LSEG had two assets that S&P Global did not: an exchange and a clearing house. The question — and it was a genuine strategic debate, not a rhetorical one — was whether those assets were complementary advantages or diversification drags. The exchange and clearing operations consumed significant management attention, faced heavy regulation, and generated lower margins than the data business. But they also produced proprietary data (trade prices, order book depth, clearing volumes) that was available nowhere else, and they created customer relationships — every bank that cleared through LCH or traded on the exchange was a natural prospect for data products. The vertically integrated model had strategic logic. Whether it had conglomerate efficiency was a different question.
A Price List from a Coffee House
On a wall in LSEG's headquarters at 10 Paternoster Square — the building completed in 2004, a Postmodern classical confection standing in the shadow of St Paul's Cathedral — there hangs a reproduction of one of Castaing's original price lists. The sheet shows the prices of East India Company shares, Bank of England stock, and various commodity quotations, published for the benefit of the coffee house patrons who needed to know what things were worth.
Three hundred and twenty-seven years later, the company that traces its lineage to that price list generates approximately £8.7 billion annually doing what is, at its core, the same thing: telling financial professionals what things are worth, in real time, across every asset class, in every market, in every format — terminal screens, API feeds, Teams messages, AI-generated summaries. The medium has changed. The margins have improved. The mission has not.
LSEG's share price, as of mid-2025, was approximately £105, implying a market capitalisation of roughly £50 billion — a more than tenfold increase from the approximately £4 billion market cap when Schwimmer took over in 2018, though much of that increase reflected the Refinitiv acquisition's addition of revenue rather than purely organic value creation. The shares traded at approximately 25–27 times forward earnings, a multiple that reflected the market's appreciation of the recurring revenue model and data-platform economics but also left limited margin for execution missteps.
On Schwimmer's desk — metaphorically if not literally — sat the same question that had defined his tenure from the beginning: could a 327-year-old institution, born in a London coffee house, compete in a world where AI was rewriting the rules of information delivery, where cloud platforms were disintermediating traditional data distributors, and where the most formidable competitor in financial data had never been successfully challenged by anyone, ever? The Refinitiv acquisition was the bet. The Microsoft partnership was the lever. The AI wave was the catalyst. The clearing house was the fortress. The index business was the annuity.
The answer was not yet written. But LSEG's annual report for FY2024, the latest entry in an unbroken ledger that stretched back to a coffee house in Exchange Alley, ran to 312 pages. Revenue: £8.7 billion. Adjusted operating profit margin: approximately 49%. Capital returned to shareholders: £3.1 billion. On the cover: no logo, no slogan. Just the price of everything.
