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WM

Waste Management Inc Price

WM
$233,31
-$0,49(-%0,20)

*Data last updated: 2026-04-07 21:49 (UTC+8)

As of 2026-04-07 21:49, Waste Management Inc (WM) is priced at $233,31, with a total market cap of $94,78B, a P/E ratio of 32,67, and a dividend yield of %1,45. Today, the stock price fluctuated between $232,56 and $235,78. The current price is %0,32 above the day's low and %1,04 below the day's high, with a trading volume of 111,00K. Over the past 52 weeks, WM has traded between $225,98 to $236,05, and the current price is -%1,16 away from the 52-week high.

WM Key Stats

Yesterday's Close$233,80
Market Cap$94,78B
Volume111,00K
P/E Ratio32,67
Dividend Yield (TTM)%1,45
Dividend Amount$0,94
Diluted EPS (TTM)6,71
Net Income (FY)$2,70B
Revenue (FY)$25,20B
Earnings Date2026-04-28
EPS Estimate1,76
Revenue Estimate$6,28B
Shares Outstanding405,40M
Beta (1Y)0.547
Ex-Dividend Date2026-03-13
Dividend Payment Date2026-03-27

About WM

Waste Management, Inc., through its subsidiaries, provides waste management environmental services to residential, commercial, industrial, and municipal customers in North America. It offers collection services, including picking up and transporting waste and recyclable materials from where it was generated to a transfer station, material recovery facility (MRF), or disposal site; and owns, develops, and operates landfill gas-to-energy facilities in the United States, as well as owns and operates transfer stations. As of December 31, 2021, the company owned or operated 255 solid waste landfills; 5 secure hazardous waste landfills; 96 MRFs; and 340 transfer stations. It also provides materials processing and commodities recycling services; recycling brokerage services, such as managing the marketing of recyclable materials for third parties; and other strategic business solutions. In addition, the company offers construction and remediation services; services related with the disposal of fly ash, and residue generated from the combustion of coal and other fuel stocks; in-plant services comprising full-service waste management solutions and consulting services; and specialized disposal services for oil and gas exploration and production operations. The company was formerly known as USA Waste Services, Inc. and changed its name to Waste Management, Inc. in 1998. Waste Management, Inc. was incorporated in 1987 and is headquartered in Houston, Texas.
SectorIndustrials
IndustryWaste Management
CEOJames C. Fish Jr.
HeadquartersHouston,TX,US
Official Websitehttps://www.wm.com
Employees (FY)60,50K
Average Revenue (1Y)$416,59K
Net Income per Employee$44,76K

Waste Management Inc (WM) FAQ

What's the stock price of Waste Management Inc (WM) today?

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Waste Management Inc (WM) is currently trading at $233,31, with a 24h change of -%0,20. The 52-week trading range is $225,98–$236,05.

What are the 52-week high and low prices for Waste Management Inc (WM)?

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What is the price-to-earnings (P/E) ratio of Waste Management Inc (WM)? What does it indicate?

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What is the market cap of Waste Management Inc (WM)?

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What is the most recent quarterly earnings per share (EPS) for Waste Management Inc (WM)?

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Should you buy or sell Waste Management Inc (WM) now?

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Risk Warning

The stock market involves a high level of risk and price volatility. The value of your investment may increase or decrease, and you may not recover the full amount invested. Past performance is not a reliable indicator of future results. Before making any investment decisions, you should carefully assess your investment experience, financial situation, investment objectives, and risk tolerance, and conduct your own research. Where appropriate, consult an independent financial adviser.

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Waste Management Inc (WM) Latest News

2026-02-05 17:33

Data: 11,124,200 wM has been transferred out from GSR Markets, with a total value of approximately 11.12 million USD.

ChainCatcher message, according to Arkham data, at 01:28, 11,124,200 wM (worth approximately 11.12 million USD) was transferred from GSR Markets to an anonymous address (starting with 0x0502d...).

2026-02-05 10:28

Data: 11,114,300 wM has been transferred out from GSR Markets, with a total value of approximately 11.14 million USD.

ChainCatcher message, according to Arkham data, at 18:06, 11,141,300 wM (WrappedM by M^0, worth approximately 11.14 million USD) was transferred from GSR Markets to GSR Markets.

2026-02-04 21:03

Data: 5,158,600 wM has been transferred out from GSR Markets, with a total value of approximately $5,158,600.

ChainCatcher message, according to Arkham data, at 04:55, 5,158,600 wM (worth approximately $5,158,600) was transferred from GSR Markets to an anonymous address (starting with 0x0502...).

2026-02-04 20:33

Data: 6 million wM tokens transferred out from GSR Markets, worth approximately $6 million.

ChainCatcher reports that, according to Arkham data, at 04:23, 6 million wM (worth approximately $6 million) was transferred from GSR Markets to an anonymous address (starting with 0x0502d...).

2026-02-04 19:53

Data: 11,158,600 wM transferred out from GSR Markets, totaling approximately $11,158,600 in value.

ChainCatcher message, according to Arkham data, at 03:44, 11,158,600 wM (worth approximately 11,158,600 USD) was transferred from GSR Markets to GSR Markets.

Hot Posts About Waste Management Inc (WM)

MeNews

MeNews

04-04 12:58
ME News message, on April 3 (UTC+8), the Meta AI Research team released the joint embedding predictive world model JEPA-WMs for physical planning and its related research. The study investigates the key factors behind the model’s success and provides a complete PyTorch implementation, dataset, and pretrained models. The released models include the core JEPA-WM, as well as the DINO-WM and V-JEPA-2-AC(fixed) models as baselines, covering multiple robotic manipulation and navigation environments such as DROID & RoboCasa, Metaworld, Push-T, PointMaze, and Wall. The models use visual encoders such as DINOv3 ViT-L/16, DINOv2 ViT-S/14, and V-JEPA-2 ViT-G/16, with input image resolutions mainly 224×224 or 256×256. The project also provides an optional VM2M decoder head for visualization and trajectory decoding, but emphasizes that this decoder is not necessary for training a world model or conducting planning evaluations. All resources have been made public on GitHub, Hugging Face, and arXiv. (Source: InFoQ)
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MeNews

MeNews

04-04 11:18
ME News update, on April 3 (UTC+8), the Meta AI Research team released the Joint Embedding Predictive World Model JEPA-WMs for physical planning and related research. The study explores the key factors behind the model’s success and provides a complete PyTorch implementation, datasets, and pretrained models. The released models include the core JEPA-WM, as well as baseline models DINO-WM and V-JEPA-2-AC(fixed), covering multiple robot manipulation and navigation environments such as DROID & RoboCasa, Metaworld, Push-T, PointMaze, and Wall. The models use visual encoders including DINOv3 ViT-L/16, DINOv2 ViT-S/14, and V-JEPA-2 ViT-G/16, with input image resolutions mainly of 224×224 or 256×256. The project also provides an optional VM2M decoder head for visualization and trajectory decoding, but emphasizes that this decoder is not necessary for training a world model or conducting planning evaluations. All resources have been made public on GitHub, Hugging Face, and arXiv. (Source: InFoQ)
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MeNews

MeNews

04-04 07:42
ME News message on April 3 (UTC+8): Meta AI Research released JEPA-WMs, a joint embedding predictive world model for physical planning, and its related research. This study explores the key factors behind the model’s success, and provides a complete PyTorch implementation, datasets, and pretrained models. The released models include the core JEPA-WM, as well as baseline models DINO-WM and V-JEPA-2-AC(fixed), covering multiple robot manipulation and navigation environments such as DROID & RoboCasa, Metaworld, Push-T, PointMaze, and Wall. The models use visual encoders such as DINOv3 ViT-L/16, DINOv2 ViT-S/14, and V-JEPA-2 ViT-G/16, with input image resolutions primarily 224×224 or 256×256. The project also provides an optional VM2M decoder head for visualization and trajectory decoding, but emphasizes that this decoder is not necessary for training world models or for conducting planning evaluations. All resources have been made public on GitHub, Hugging Face, and arXiv. (Source: InFoQ)
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