Polygon saw a brief but meaningful jump in chain revenue in mid-February, and the lift was largely attributed to prediction-market flow from Polymarket. The episode showed how a single high-velocity application can temporarily reshape fee economics and push demand toward the execution layer that best fits its transaction profile.
For traders and infrastructure teams, the surge functioned as a real-world stress test of scaling tradeoffs, where Polygon’s lower costs pulled in volume while Ethereum’s base layer captured less of the incremental activity. At the same time, the durability of those fees was immediately questioned because prediction markets face escalating legal scrutiny that could compress volumes as quickly as they arrived.
Fee Leadership Concentrated in Prediction-Market Flow
On February 13, 2026, Polygon processed $407.1K in transaction fees versus Ethereum’s $211.7K, and on February 14 Polygon posted $303K compared with Ethereum’s $285K. Industry commentary framed this as the first instance where a Layer-2 outpaced Ethereum on daily fees, and it was tightly concentrated in the prediction-market niche.
Polymarket’s contribution was outsized during the week, generating more than $1M in fees for Polygon, including a moment where $15M was wagered on a single Oscars market. The operational takeaway is that event-driven markets can create sudden, application-specific demand spikes that translate directly into chain revenue, even if only briefly.
Cost and tokenomics data reinforced why this activity gravitated to Polygon, with average gas costs cited at $0.0026 per transaction on Polygon versus about $1.68 on Ethereum. That pricing gap makes Polygon structurally better suited for high-frequency, time-sensitive markets where many small transactions would be economically unworkable on a higher-fee base layer.
Revenue and burn metrics moved in tandem, with Polygon daily chain revenue peaking around $295.4K and weekly revenue topping $1.1M, described as a 14-month high, while fee burn averaged roughly 1M POL tokens per day. If that burn pace were sustained, analysts estimated it could equate to about a 3.5% annual reduction in POL supply, turning short-term usage into a measurable tokenomics variable.
Network capacity improved after the Dandeli hard fork, which was cited as lifting throughput to roughly 20 mgas/s and easing gas pressure for high-frequency activity. Stablecoin throughput also tracked the same direction of travel, with weekly USDC transfers on Polygon reaching 28M versus Solana’s 22M, signaling that large settlement flow was actively using Polygon rails.
Regulatory Overhang and Stack-Level Implications
Polygon’s architecture, described through off-chain processing and proof-of-stake-based rollups, helped deliver the low-cost, high-throughput environment that prediction markets tend to demand. As analytics platform growthepie co-founder Matthias Seidl put it, the surge was “entirely driven by Polymarket,” which underscores how concentrated app demand can be.
However, the revenue spike carried a clear legal caveat, with more than 20 federal lawsuits filed against major U.S. prediction-market operators, including Polymarket and Kalshi, raising questions about whether these fee streams can persist under enforcement or rule changes. Market pricing reflected that uncertainty, with POL trading flat during the surge, suggesting investors discounted the sustainability of the revenue bump.
For protocol operators and exchanges, the event illustrated how composable applications can rapidly migrate execution demand to more cost-effective layers, changing where fees accrue across the stack. For miners and validators, the immediate signal was that incremental fee capture can shift toward Layer-2 rails rather than the Ethereum base layer, altering short-term revenue allocation dynamics.
The broader lesson is that application-level adoption can reprice execution costs and liquidity distribution between layers faster than most strategies assume. Infrastructure and operations teams should track both the throughput-and-cost advantages that pull niche markets onto Layer-2 networks and the regulatory trajectory that could abruptly curtail the very applications driving the activity.
