Key Takeaways
- In 2022, the global arms industry generated total sales of $592 billion, marking a 3.9% increase from 2021.
- Lockheed Martin achieved $67.6 billion in total revenue in 2022, with 71% from U.S. government contracts.
- RTX (Raytheon Technologies) reported $67.1 billion in net sales for 2022, up 11% from the previous year.
- The US arms industry produced over 1.5 million small arms in 2022.
- Lockheed Martin delivered 142 F-35 aircraft in 2022 across all variants.
- Boeing produced 28 F/A-18 Super Hornets in 2022 for US Navy.
- The weapons industry employed 2.5 million people directly in the US in 2022.
- Lockheed Martin had 121,000 employees worldwide as of 2022.
- RTX employed 174,000 people in 2022, with 70% in US.
- Global arms exports reached $108 billion in 2018-2022, down 5.1% from prior period.
- US share of global arms exports was 40% in 2018-2022.
- France became world's second largest arms exporter with 11% share 2018-2022.
- Lockheed Martin R&D spending was $1.6 billion in 2022.
- RTX invested $2.8 billion in R&D in 2022 across defense tech.
- Northrop Grumman R&D expenditure $1.2 billion in 2022.
The global weapons industry saw massive growth in sales and production during 2022.
Arms Exports
Arms Exports Interpretation
Employment Numbers
Employment Numbers Interpretation
Production Volumes
Production Volumes Interpretation
R&D Spending
R&D Spending Interpretation
Revenue and Profits
Revenue and Profits 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.
Daniel Varga. (2026, February 13). Weapons Industry Statistics. Gitnux. https://gitnux.org/weapons-industry-statistics
Daniel Varga. "Weapons Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/weapons-industry-statistics.
Daniel Varga. 2026. "Weapons Industry Statistics." Gitnux. https://gitnux.org/weapons-industry-statistics.
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