First Republic Bank’s failure on May 1, 2023, followed Silicon Valley Bank’s collapse by just seven weeks, yet unfolded in fundamentally different ways. While SVB’s crisis was driven by a catastrophic 93.9% concentration of uninsured deposits—primarily from technology companies and startups with massive balances far exceeding FDIC insurance limits—First Republic faced a different structural problem. First Republic had 67% uninsured deposits, but these were spread across wealthy individuals and their private businesses rather than concentrated in a few thousand tech firms.
The critical difference: when JPMorgan Chase acquired First Republic’s assets on May 1, 2023, it prevented the kind of systemic panic that erupted after SVB’s failure triggered deposit runs across the entire regional banking sector. The two failures are often discussed together as part of the 2023 banking crisis, but the mechanics of how they broke down reveal important lessons about deposit concentration, customer diversification, and the fragility of the modern banking system. SVB’s collapse created contagion because uninsured depositors across the entire venture capital ecosystem realized their money was at risk everywhere. First Republic’s sale, by contrast, was contained—a cautionary tale about overleveraging and interest rate risk, but not a systemic threat that required emergency interventions across the banking industry.
Table of Contents
- How the Deposit Run Timeline Differed Between the Two Banks
- The Uninsured Deposit Concentration Problem That Made SVB Uniquely Dangerous
- Customer Base Differences That Shaped the Two Crises
- First Republic’s 111% Loan-to-Deposit Ratio as a Structural Vulnerability
- The Government and Banking Industry Response That Prevented Wider Contagion
- The Contagion Effect and Why First Republic Didn’t Create Systemic Risk
- Lessons for Banking Regulation and Risk Management Moving Forward
- Conclusion
How the Deposit Run Timeline Differed Between the Two Banks
SVB experienced a $40 billion deposit run on March 10, 2023, with an additional $100 billion in withdrawal requests it could not meet. The speed was stunning: in a single day, the bank lost access to enough capital to render it insolvent. The run was amplified by the transparency of social media and messaging apps—depositors in the startup world learned within minutes that peer companies were pulling money, creating a self-fulfilling panic. By the time regulators closed SVB at day’s end, the damage was done, and the contagion had already begun spreading to other regional banks holding similar tech industry deposits. First Republic’s deposit bleed was more protracted but ultimately equally devastating. The bank lost over $100 billion in deposits (41% of its total) during Q1 2023, beginning immediately after SVB’s collapse.
However, the withdrawal pattern was different: wealthy individuals and their advisors moved money out more methodically, and First Republic had more time to respond—though it ultimately made poor decisions about which assets to sell and how to manage its loan portfolio. The bank also faced a critical structural vulnerability: it had a loan-to-deposit ratio of 111%, meaning it had lent out more money than it held in deposits. This meant even modest deposit outflows would create liquidity crises. The seven-week gap between failures mattered because it gave regulators and the banking industry time to implement emergency measures. The Treasury Department and 11 major banks announced a $30 billion liquidity support package specifically aimed at shoring up banks like First Republic in March 2023, between SVB’s failure and FRB’s eventual collapse. This intervention, while well-intentioned, proved insufficient because the underlying problem wasn’t liquidity—it was solvency. First Republic was losing deposits because customers didn’t trust the bank’s balance sheet, not because they couldn’t access their money.
The Uninsured Deposit Concentration Problem That Made SVB Uniquely Dangerous
The difference in uninsured deposit ratios between the two banks explains why SVB triggered a systemic crisis while first Republic remained a contained failure. At SVB, 93.9% of the $175.5 billion in deposits were uninsured—meaning they exceeded the $250,000 FDIC insurance limit. For comparison, First Republic’s 67% uninsured ratio meant the bank had a larger cushion of protected deposits and a more diversified customer base. But the real problem at SVB wasn’t the percentage—it was the homogeneity of who held those deposits. SVB’s customer base was dominated by venture capital firms, startups, and the employees of those firms. When news broke that SVB held illiquid long-term bonds and had suffered massive mark-to-market losses, every tech company with a $500 million Series C in the bank realized their operational funds were at risk. This created a coordinated panic: venture capital firms that invested in thousands of startups communicated to their portfolio companies that they should move money immediately.
A single ecosystem of depositors realized their money was at risk at the same institution, and they all acted at once. The FDIC’s decision to cover all deposits at SVB, regardless of insurance limits, cost the Deposit Insurance Fund $20 billion, including $18 billion to cover uninsured deposits. This emergency intervention set a precedent that alarmed depositors at other regional banks. First Republic’s depositors were more heterogeneous. Wealthy individuals, family offices, and small business owners held the uninsured deposits, and while they were certainly concerned about the bank’s stability after SVB’s collapse, they didn’t all move money on the same day. Additionally, many wealthy depositors have relationships with multiple banks and trusted financial advisors who could direct them to safe alternatives. The concentration of deposits by customer type, not just by insurance status, turns out to be a crucial factor in how quickly a bank can fail.
Customer Base Differences That Shaped the Two Crises
SVB’s concentration in the technology sector created a perfectly synchronized depositor base. Companies in Silicon Valley weren’t just customers—they were part of an interconnected ecosystem where information spread instantaneously. A partner at a prominent venture capital firm would learn that a portfolio company’s money was at risk, and would immediately call every other company in the fund. News of large-scale withdrawals spread through Slack channels, private equity group texts, and investor calls within minutes. SVB faced not just a run but a coordinated, technology-enabled run that compressed what might have taken days at a traditional bank into hours. First Republic’s depositors, by contrast, were primarily wealthy individuals and the principals of private businesses.
While these customers certainly had access to sophisticated financial advice and alternative banking options, they weren’t part of the same information network. A hedge fund manager’s wife might have heard concerns about regional bank stability, but she wouldn’t hear within minutes that her husband’s golf partner had just moved $100 million out of the bank. This slower information flow and more diverse customer base meant that First Republic’s deposit outflows, while ultimately severe, followed a different trajectory than SVB’s. The customer base difference also affected how the banking industry responded. When SVB failed, every venture capital-backed startup with deposits at other regional banks became a potential source of contagion. When First Republic failed, the impact was primarily felt among high-net-worth individuals and their advisors, who typically had established relationships with large banks or had already moved their money to the safety of institutions deemed “too big to fail.” This difference limited the secondary contagion from First Republic’s failure.
First Republic’s 111% Loan-to-Deposit Ratio as a Structural Vulnerability
First Republic’s loan-to-deposit ratio of 111% reveals a fundamental business model problem that had nothing to do with interest rate risk or market sentiment. The bank had lent out $1.11 for every $1.00 in deposits it held, meaning it was completely dependent on the capital markets to fund its operations. When deposits began leaving after SVB’s collapse, the bank faced an impossible situation: it couldn’t generate the $100+ billion in funding needed to cover the deposit losses without either selling assets at fire-sale prices or accessing credit markets that had become extremely risk-averse toward regional banks. This structural problem made First Republic’s situation worse than SVB’s in one critical respect: even if the bank had held nothing but safe assets, it would still have failed due to the mathematics of its business model. SVB’s problem was that its assets were illiquid and underwater—long-term Treasury securities that had lost value as interest rates rose.
First Republic’s problem was deeper: it had built a business model that couldn’t survive the loss of deposits under any circumstances. The bank was perpetually one bad quarter away from a funding crisis, and when that quarter arrived in 2023, no amount of liquidity assistance could fix it. The 111% loan-to-deposit ratio also meant that First Republic’s lending standards had likely been loose. To lend more money than you hold in deposits requires either a bet that deposits will continue to grow indefinitely or a willingness to accept significant refinancing risk. Regulators later found that First Republic had made aggressive lending decisions in the wealthy real estate and private business segments, betting on continued appreciation in asset values. When the banking sector’s risk appetite suddenly contracted after SVB’s failure, those loans became the fastest-depreciating assets in the bank’s portfolio.
The Government and Banking Industry Response That Prevented Wider Contagion
The critical difference in how the two failures were resolved reveals how banking system backstops can either prevent or amplify crises. After SVB’s failure, the Federal Reserve had to act unilaterally to protect the banking system. It created the Bank Term Funding Program, which allowed banks to pledge collateral at par value rather than mark-to-market rates, essentially providing an emergency loan facility for any bank facing deposit runs. It also announced that all deposits at SVB would be covered, even those exceeding FDIC insurance limits. These emergency measures were necessary but also signaled to the market that regional banks with uninsured deposits were now exposed to moral hazard and political whim. First Republic’s failure, by contrast, was resolved through a negotiated sale to JPMorgan Chase.
Rather than allowing the bank to fail and triggering another wave of uncertainty, regulators and the banking industry worked together to transfer First Republic’s deposits and assets to one of the largest banks in the world. JPMorgan, with nearly $4 trillion in assets and an explicit “too big to fail” status, could absorb First Republic’s $213 billion balance sheet without creating systemic risk. The sale was announced without any suggestion that First Republic’s uninsured deposits would face losses, which prevented the panic that had followed SVB’s initial failure announcement. The $30 billion liquidity support package that Treasury and 11 major banks announced in March 2023—between SVB’s collapse and First Republic’s failure—was specifically designed to prevent another SVB-style panic. The package included support from JPMorgan Chase, Bank of America, Wells Fargo, Citigroup, and others, and was meant to signal that regional banks had access to funding and depositor support. However, this support proved insufficient for First Republic because the bank’s problems went beyond liquidity. The eventual solution, a full acquisition by JPMorgan, was more decisive than any lending facility could have been.
The Contagion Effect and Why First Republic Didn’t Create Systemic Risk
SVB’s failure created a contagion that threatened to destabilize every regional bank in America. Uninsured depositors at banks holding significant tech industry exposure—Signature Bank in New York, Pacific Valley Bank in California, and others—began panicking. The question became: if SVB, which had $209 billion in assets and a seemingly solid customer base, could fail, which regional bank was safe? This uncertainty created a vicious cycle: rising deposit outflows forced banks to raise interest rates or sell assets, both of which signaled financial distress and accelerated the panic. First Republic’s failure, by contrast, was largely absorbed by the financial system without creating contagion. Wealthy depositors at other banks didn’t suddenly panic about their institutions’ safety. Credit spreads for regional banks didn’t spike further.
The reason: JPMorgan Chase’s acquisition immediately clarified the outcome for all stakeholders. Uninsured depositors would be made whole, loans would be honored, and the bank’s operations would continue under the stewardship of a bank viewed as completely safe. This certainty eliminated the panic that had characterized the aftermath of SVB’s failure. The different outcomes reflect a lesson about transparency and speed in banking crises. SVB’s failure announcement came with substantial ambiguity about what would happen to uninsured deposits, creating fear and uncertainty that spread across the entire venture capital ecosystem. First Republic’s resolution came with a clear, decisive outcome—an acquisition by a systemically important bank—that provided certainty and closure. In banking, certainty, even if it’s not the ideal outcome for every stakeholder, is preferable to uncertainty that spreads panic.
Lessons for Banking Regulation and Risk Management Moving Forward
The contrast between SVB and First Republic failures has profound implications for how regulators should think about bank supervision and risk management. SVB’s failure revealed that uninsured deposit concentration in specific industries creates systemic risk, even at banks below the “too big to fail” threshold. First Republic’s failure revealed that overleveraging (the 111% loan-to-deposit ratio) and aggressive lending without sufficient capital buffers can create solvency problems that outpace any liquidity assistance. Neither bank was a “rogue outlier”—both failures pointed to systematic issues with how regional banks were managing risk in the low-interest-rate environment of the 2010s and early 2020s. Going forward, regulators have suggested several lessons. First, banks need to maintain more conservative loan-to-deposit ratios to ensure they can weather unexpected deposit outflows.
Second, banks with high concentrations of uninsured deposits from a single industry (like technology) face systemic risks that may require higher capital requirements or more stringent interest rate risk management. Third, the banking industry’s ability to resolve crises quickly and decisively—through acquisitions like the JPMorgan-First Republic deal—is crucial for preventing contagion. Finally, the Federal Reserve’s ability to provide emergency funding facilities, as it did with the Bank Term Funding Program, has become an essential tool for managing banking system stability. The 2023 banking failures will likely reshape bank regulation for years to come. Deposit insurance limits may be reconsidered, capital requirements may be increased, and stress testing may place more emphasis on depositor concentration risk. The fact that First Republic could be resolved through a traditional acquisition, while SVB required emergency Federal Reserve intervention, suggests that size and diversification matter less than the composition of deposits and the soundness of the balance sheet.
Conclusion
First Republic Bank’s failure played out differently from SVB’s not because of a single factor, but because of a combination of structural differences: a more diversified depositor base, a more sustainable (though still problematic) mix of uninsured and insured deposits, and ultimately a regulatory solution that provided certainty rather than ambiguity. While both banks failed due to solvency issues rooted in poor risk management during the low-rate era, their failures had different contagion profiles. SVB’s collapse triggered a systemic panic that required emergency Federal Reserve intervention and extraordinary measures to protect uninsured depositors.
First Republic’s collapse, while still a $213 billion disaster, was contained through a decisive acquisition that prevented wider market panic. For investors, depositors, and policymakers, the key lesson is that banking stability depends on multiple factors: diversification across industries and customer types, conservative leverage ratios, interest rate risk management, and the regulatory authority’s ability to respond decisively to crises. The existence of multiple regional bank failures in the same year was never inevitable—it was the product of a specific moment when low interest rates, concentrated tech industry deposits, and overleveraging converged. Whether regulators can prevent a similar confluence of risk factors from building up again remains the crucial question for banking system stability in the years ahead.