Key Takeaways
- New York City accounted for 8.6% of all US banking and credit intermediation employment in 2023
- New York had 11,739 financial services establishments (NAICS 52) in 2022, per the U.S. Census Bureau’s County Business Patterns.
- More than 1.2 million people worked in the broader “Financial Activities” supersector in New York City in 2022 (BEA regional accounts).
- New York State had $230.6 billion in financial services sector value added (NAICS 52) in 2022
- New York State personal income from finance and insurance was $112.7 billion in 2022
- JP Morgan Chase had $3.1 trillion in total assets in 2023
- Bank of America had $3.1 trillion in total assets in 2023
- Citigroup reported $2.0 trillion in total assets in 2023
- In 2023, global bank profits were $347 billion in Q4 2023 for large global banks, with US firms reporting major contributions
- In 2024, US total cybersecurity spending is forecast at $188.4 billion
- In 2024, cloud end-user spending in financial services is forecast to reach $360.3 billion globally
- In 2023, New York State Department of Financial Services (DFS) issued 12 public enforcement actions
- In 2023, the OCC imposed $1.3 billion in enforcement actions across institutions
- NYDFS required covered entities to complete annual cybersecurity assessments under its cybersecurity regulation starting from 2018 requirements, with annual audits thereafter
- The S&P 500 Financials sector returned 15.2% in 2023
New York remains the US finance powerhouse, combining major employment, asset scale, and strong cybersecurity performance.
Employment
Employment Interpretation
Economic Output
Economic Output Interpretation
Industry Scale
Industry Scale Interpretation
Industry Trends
Industry Trends Interpretation
Risk & Regulation
Risk & Regulation Interpretation
Performance Metrics
Performance Metrics Interpretation
Cost Analysis
Cost Analysis Interpretation
User Adoption
User Adoption Interpretation
Industry Footprint
Industry Footprint Interpretation
Capital & Deposits
Capital & Deposits Interpretation
Technology & Security
Technology & Security Interpretation
Regulation & Risk
Regulation & Risk Interpretation
Market & Deals
Market & Deals Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Afolabi. (2026, February 13). New York Financial Services Industry Statistics. Gitnux. https://gitnux.org/new-york-financial-services-industry-statistics
Marcus Afolabi. "New York Financial Services Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/new-york-financial-services-industry-statistics.
Marcus Afolabi. 2026. "New York Financial Services Industry Statistics." Gitnux. https://gitnux.org/new-york-financial-services-industry-statistics.
References
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