Key Takeaways
- Apple's FY2023 R&D budget was $29.9 billion, 7.8% of revenue
- Amazon's FY2023 capex budget hit $48.1 billion, mainly AWS data centers
- Google's parent Alphabet FY2023 operating expenses $109.4 billion, 24% of revenue
- World Bank Group's total commitments in FY2023 reached $128.1 billion across lending arms
- IMF's FY2023 administrative budget was $1.3 billion, supporting 190 member countries
- EU general budget for 2023 was €186.6 billion, with 34% for cohesion policy
- Average US household annual budget for housing in 2023 was $24,298, 33% of income
- Median US household food budget yearly $5,259 in 2023, up 8% from 2022
- US average transportation budget per household $12,295 annually in 2023
- California's FY2023-24 state budget totaled $310.8 billion, with $211 billion General Fund
- New York State's FY2023-24 enacted budget $237 billion, including $220 billion all funds
- Texas FY2023-24 biennial budget $321.3 billion, surplus of $32.7 billion
- In fiscal year 2023, the US federal budget deficit reached $1.7 trillion, representing 6.3% of GDP
- US federal spending on Social Security in FY2023 totaled $1.346 trillion, up 8% from prior year
- Medicare outlays in US FY2023 budget were $839 billion, accounting for 21% of total federal spending
Big tech and public budgets show heavy R&D and capex while households and governments still juggle deficits.
Related reading
Corporate Budgets
Corporate Budgets Interpretation
More related reading
Global Budgets
Global Budgets Interpretation
Personal Finance Budgets
Personal Finance Budgets Interpretation
More related reading
State Budgets
State Budgets Interpretation
More related reading
US Federal Budget
US Federal Budget 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.
Elena Vasquez. (2026, February 13). Budget Statistics. Gitnux. https://gitnux.org/budget-statistics
Elena Vasquez. "Budget Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/budget-statistics.
Elena Vasquez. 2026. "Budget Statistics." Gitnux. https://gitnux.org/budget-statistics.
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