Direct lending to SaaS has structurally surged
Stock of loans outstanding, USD billions, year-end.
Source PitchBook LCD, BIS, Apollo Chief Economist, Daily Spark, June 16, 2026.
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Stock of loans outstanding, USD billions, year-end.
Source PitchBook LCD, BIS, Apollo Chief Economist, Daily Spark, June 16, 2026.
Argentina energy + mining trade balance (USD bn), from deficit to projected surplus
Source INDEC; BCRA; Ministerio de Economía (January 2026). Primary Argentina source videos: https://youtu.be/JsSLSllJYMw?is=4x2tcBsbqAsFBbma; https://youtu.be/LUu2D6fy640?is=DHF5EipLtKftbMEe.
Trade (exports + imports) as % of GDP — Argentina's ratio is anomalously low for a resource-rich economy
Source World Bank WDI; INDEC 2025; Daza remarks at Fitch On Argentina, June 2026. Primary Argentina source videos: https://youtu.be/JsSLSllJYMw?is=4x2tcBsbqAsFBbma; https://youtu.be/LUu2D6fy640?is=DHF5EipLtKftbMEe.
Estimated combined AUM of the five largest multi-strategy pod shops (Citadel, Millennium, Point72, DE Shaw, Balyasny), USD billions, 2015–2026E
Source HFR Industry Reports; FINRA AUM Data; Bloomberg Money Stuff, 9 June 2026
2026E reflects analyst consensus estimate as of June 2026. Figures represent estimated combined AUM for the five largest platforms pending full verification against fund disclosures.
AI company valuations vs. major historical technology IPO benchmarks — USD billions at time of IPO or latest financing round
Source Company filings, Alphabet Investor Relations, Bloomberg/Fortune, TechCrunch, Investopedia, market data
Method Compares reported or proposed AI financing and valuation figures against major historical IPO valuation benchmarks. AI company figures are estimated; verify against final disclosed data before relying on specific values.
Estimated valuation-to-annualised-revenue-run-rate multiple — midpoint shown; analyst estimate ranges are wide due to limited revenue disclosure
Source Company disclosures; secondary-market valuation reports; public fundraising reports; AXIS Editorial analysis
Method Valuation divided by estimated annualised revenue run-rate. Midpoints shown: OpenAI ~60–120× (mid 80×), Anthropic ~180–400× (mid 250×), xAI ~90–180× (mid 130×), Mistral ~60–130× (mid 90×), Cohere ~45–100× (mid 70×). Treat as directional; verify against final disclosed company data.
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