*Data last updated: 2026-05-02 00:35 (UTC+8)
As of 2026-05-02 00:35, Costco Wholesale Corp (COST) is priced at $1,010.69, with a total market cap of $448.84B, a P/E ratio of 51.71, and a dividend yield of 0.53%. Today, the stock price fluctuated between $1,006.50 and $1,031.33. The current price is 0.41% above the day's low and 2.00% below the day's high, with a trading volume of 1.45M. Over the past 52 weeks, COST has traded between $937.02 to $1,035.78, and the current price is -2.42% away from the 52-week high.
COST Key Stats
About COST
Learn More about Costco Wholesale Corp (COST)
Gate Learn Articles
What is Dollar Cost Averaging (DCA)?
Auto investment, also known as dollar cost averaging (DCA), is a common investment strategy that is used to buy a specified asset portfolio at the same and at regular intervals.
2022-11-21
Is the low cost of ZKP a false proposition from Aztec?
Starting from the bottom of technology and data, this article tries to answer whether ZKP's low cost is a false proposition.
2024-01-11
What is Dollar Cost Averaging (DCA) ?
This article provides an in-depth analysis of Dollar Cost Averaging (DCA) in the cryptocurrency market. It covers the core principles of DCA, offers practical implementation tips, highlights its risks and limitations, and emphasizes its value as a long-term investment strategy.
2025-04-09
Blogs
Gate VIP: Fee Discounts, Tiered Rates, and Strategies for Optimizing High-Frequency Trading Costs
Gate’s VIP program reshapes trading cost structures with fee discounts, tiered rate differences, and exclusive investment rates. This article offers a comprehensive analysis, covering everything from the discount mechanisms to strategies for optimization.
2026-04-30
GateRouter: A Unified AI Model Integration Platform Empowering Enterprises to Build Intelligent Applications Efficiently
GateRouter offers unified AI model integration and intelligent routing capabilities, empowering enterprises to optimize cost management, access control, and large-scale deployment through enterprise account features.
2026-04-30
What Hidden Risks in Prediction Markets Do Beginners Overlook? These 5 Pitfalls Could Cost You Your Principal
When everyone rushes into prediction markets, the "hidden risks" that truly impact profitability often become the biggest blind spots in our understanding.
2026-04-29
Costco Wholesale Corp (COST) FAQ
What's the stock price of Costco Wholesale Corp (COST) today?
What are the 52-week high and low prices for Costco Wholesale Corp (COST)?
What is the price-to-earnings (P/E) ratio of Costco Wholesale Corp (COST)? What does it indicate?
What is the market cap of Costco Wholesale Corp (COST)?
What is the most recent quarterly earnings per share (EPS) for Costco Wholesale Corp (COST)?
Should you buy or sell Costco Wholesale Corp (COST) now?
What factors can affect the stock price of Costco Wholesale Corp (COST)?
How to buy Costco Wholesale Corp (COST) stock?
Risk Warning
Disclaimer
Other Trading Markets
Costco Wholesale Corp (COST) Latest News
AllUnity's Euro Stablecoin EURAU Launches on Solana on April 30
According to CoinDesk, German joint venture AllUnity announced on April 30 that its compliant euro stablecoin EURAU has launched on Solana following its earlier deployment on Ethereum, offering faster and lower-cost euro-denominated on-chain settlement. EURAU is issued on a full-reserve basis under the EU's MiCA framework and targets payment institutions, enterprises, and developers for cross-border payments, trading, lending, and treasury management. Euro stablecoin market capitalization has doubled to nearly $1 billion since early 2025 amid rising demand for non-USD stablecoins.
2026-04-30 07:53TwentyOne Capital Consolidates Bitcoin Mining, Treasury, and Finance Operations, Expands Holdings
According to ChainCatcher, TwentyOne Capital announced strategic updates on April 30, consolidating its Bitcoin company operations across five core areas: financial services and distribution (including custody and institutional client infrastructure), low-cost Bitcoin mining to expand treasury reserves, capital market strategies (securitizing loan portfolios and mining revenue), and acquisitive growth in Bitcoin companies. Operating cash flows will support non-dilutive leverage financing for Bitcoin accumulation.
2026-04-30 04:17Nvidia Blackwell GPU Costs Double, But Per-Token Inference Expense Falls 35x vs Hopper
According to Nvidia's latest blog analysis, Blackwell GPUs cost nearly double per hour compared to Hopper generation, yet deliver 35-fold lower per-token inference costs. Using DeepSeek-R1 as a test model, Blackwell (GB300 NVL72) rents at $2.65 per GPU per hour versus Hopper's $1.41, but single GPU throughput jumps from 90 to 6,000 tokens per second. This 65x throughput gain reduces per-million-token costs from $4.20 to $0.12. The $0.12 figure assumes full software optimization including FP4 low-precision inference and multi-token prediction (MTP). Without MTP enabled, per-million-token costs reach approximately $2.35, dropping to $0.11 with it active, demonstrating a 21x optimization impact from that feature alone.
2026-04-29 09:18Bitcoin Must Break $79,000 to Confirm Bottom, Willy Woo Says; Analyst Gives Move 30% Odds
According to analyst Willy Woo, Bitcoin (BTC) must break above $79,000 and hold above $65,000 to confirm a structural bottom, with Woo giving the $79,000 breakout a 30% probability. The $79,000 level represents the cost basis of recent investors; if BTC flips it into support, it would signal the end of the ongoing bearish phase. Woo cautioned that if Bitcoin falls below the mid-$60,000 level, a more severe correction may occur. Bitcoin was trading at $76,237 at the time of writing, down 1.3% on the day.
2026-04-29 08:17Claude's Chinese Language Tokenization Cost 65% Higher Than English, OpenAI Only 15% More
Gate News message, April 29 — AI researcher Aran Komatsuzaki conducted a comparative analysis of tokenization efficiency across six major AI models by translating Rich Sutton's seminal paper "The Bitter Lesson" into nine languages and processing them through OpenAI, Gemini, Qwen, DeepSeek, Kimi, and Claude's tokenizers. Using the English version's token count on OpenAI as the baseline (1x), the study revealed significant disparities: processing the same content in Chinese required 1.65x tokens on Claude, compared to only 1.15x on OpenAI. Hindi showed an even more extreme result on Claude, exceeding the baseline by over 3x. Anthropic ranked lowest among the six models tested. Critically, when the identical Chinese text was processed across different models—all measured against the same English baseline—the results diverged dramatically: Kimi consumed only 0.81x tokens (even less than English), Qwen 0.85x, while Claude required 1.65x. This gap reveals a pure tokenization efficiency problem, not an inherent language issue. Chinese models demonstrated superior efficiency in processing Chinese, suggesting the disparity stems from tokenizer optimization rather than the language itself. The practical implications for users are substantial: increased token consumption directly raises API costs, extends model response latency, and depletes context windows more rapidly. Tokenization efficiency depends on the linguistic composition of a model's training data—models trained predominantly on English compress English text more efficiently, while languages with lower data representation are tokenized into smaller, less efficient fragments. Komatsuzaki's conclusion underscores a fundamental principle: market size determines tokenization efficiency. Larger markets receive better optimization, while underrepresented languages face significantly higher token costs.


















































































































































































































































































































































































