63% of DeFi lending appears to be leverage stacking—while real demand shrinks I analyzed 6 months of data across the top 3 lending platforms @aave @sparkfinance @Morpho. The results suggest a concerning trend ↓ ➢ The shift from Nov 2025 → Apr 2026 Peak (Nov 2025): • Real demand (BTC/ETH collateral → borrow stablecoins): $9.3B (43%) • Looping (same-asset leverage): $12.1B (57%) Now (Apr 2026): • Real demand: $6.3B (37%) • Looping: $10.6B (63%) Real borrowing is shrinking—while the circular leverage ratio climbs. ➢ What's the difference? Real demand: Deposit BTC/ETH → borrow USDC/USDT (actual utility - pay bills, invest, etc.) Looping: Deposit wstETH → borrow WETH → deposit WETH → borrow more WETH (just stacking leverage on same asset) One creates economic value. The other just inflates TVL. ➢ Current breakdown by platform Real borrowing vs Looping: • SparkLend: $461M (47%) vs $519M (53%) • Aave V3: $4.99B (37%) vs $8.60B (63%) • Morpho: $822M (36%) vs $1.43B (64%) Note: Spark maintains the highest real demand ratio at 47%—closer to balanced lending ➢ What's actually being looped? Note: Classification based on collateral-borrow asset pairs. Some same-asset borrows may have legitimate use cases, but the pattern suggests significant leverage stacking. Breaking down the $10.6B in likely circular leverage: • Spark ($519M): 93% is wstETH → WETH (likely looping) • Aave ($8.6B): 70% ETH-based + 21% USDe-based (high leverage risk) • Morpho ($1.43B): 52% stablecoin + 12% ETH-based (potential loops) The danger: When ETH drops 20%, these loops force-liquidate in waves—amplifying the crash ➢ Why this matters Recent debate: Is DeFi underpricing risk vs TradFi rates? The real issue isn't just pricing—it's hidden leverage That $10.6B in likely loops isn't "low-risk collateral"—it's leverage stacking that amplifies systemic risk TVL metrics hide the fact that most "borrowing" is just users leveraging the same asset ➢ What we should measure instead Start tracking: ✓ Real collateral → stablecoin borrows (actual utility) ✓ Non-circular capital efficiency (real demand) The protocols that thrive long-term will be the ones users actually need—not just farm