Crypto Payout Data: Solana Speed, TRON Value

NOWPayments published six months of enterprise crypto payout data covering TRON, BNB Smart Chain, Solana, Bitcoin and Ethereum. The crypto payout data shows that network performance depends on the payment use case rather than a single overall winner. Solana recorded the fastest average payout time at 1 minute 45 seconds. Bitcoin followed at 2:53, TRON at 3:08, BNB Smart Chain at 3:13 and Ethereum at 5:56. BNB Smart Chain processed the most transactions, accounting for 48.23% of payouts, while TRON represented 43.69% of payout value. TRON handled 15.73% of transactions, and its average payout was about 6.2 times larger than the average BNB Smart Chain payout. Ethereum accounted for 18.84% of value, Bitcoin 6.68% and Solana 3.08%. NOWPayments said businesses should assess blockchain infrastructure by payout value, transaction frequency, speed and cost. It also promoted fee-free payouts to ChangeNOW Pro wallets within its ecosystem. For traders, the crypto payout data signals enterprise adoption and differing blockchain utility, but it is not a direct price catalyst. Short-term market impact is likely limited, while sustained usage could support longer-term interest in SOL, TRX and BNB. The figures come from NOWPayments’ own dataset and should not be treated as a universal network ranking.
Neutral
The news is neutral for the prices of the mentioned cryptocurrencies. The data offers positive evidence of enterprise payment activity and highlights Solana’s speed, TRON’s dominance in payout value and BNB Smart Chain’s transaction frequency. However, it comes from NOWPayments’ proprietary dataset and does not show a broad market-wide shift in demand. In the short term, traders are unlikely to reprice SOL, TRX, BNB, BTC or ETH solely on these findings. The absence of new partnerships, capital inflows or network upgrades limits the potential for an immediate price catalyst. In the longer term, continued enterprise use could strengthen fundamental narratives around blockchain utility and support sentiment if similar adoption data emerges from independent sources. Historical reactions to infrastructure and payment-use announcements are often modest unless they are linked to measurable revenue, liquidity or user growth. Volatility could therefore remain driven mainly by wider market conditions.