This analysis uses the SPYDIR package, with all data rendered live from sources across the internet. This page demonstrates how the package supports web-based output, alongside formats like PDF, Microsoft Excel, and others, thanks to its underlying dictionary structure that ensures compatibility with most formats.
Note
All content below is rendered using the package. To view the source code, click the </> Code button in the top right corner of the page. This package currently supports all U.S. stocks, and work is in progress to support Canadian financial statements.
Meta Platforms
Ticker
META
Sector
Communication Services
Industry
Internet Content & Information
Exchange
NMS
Price
$719.57
Average Volume
13 M
Market Cap
1,809 B
PE Ratio
28.44
PB Ratio
9.81
Beta
1.28
Dividend Yield
0.29%
Summary of Meta Platforms’s Business:
Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality and mixed reality headsets, augmented reality, and wearables worldwide. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL). The FoA segment offers Facebook, which enables people to build community through feed, reels, stories, groups, marketplace, and other; Instagram that brings people closer through instagram feed, stories, reels, live, and messaging; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; Threads, an application for text-based updates and public conversations; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact in a private way. The RL segment provides virtual, augmented, and mixed reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California.
Name
Title
Total Pay
Mr. Mark Elliot Zuckerberg
Founder, Chairman & CEO
27 M
Ms. Susan J. S. Li
Chief Financial Officer
2 M
Mr. Javier Olivan
Chief Operating Officer
4 M
Mr. Andrew Bosworth
Chief Technology Officer
2 M
Mr. Christopher K. Cox
Chief Product Officer
2 M
Mr. Dana White
Independent Director
272.00
Mr. Aaron A. Anderson
Chief Accounting Officer
0.00
Mr. Atish Banerjea
Chief Information Officer
0.00
Ms. Jennifer G. Newstead J.D.
Chief Legal Officer
3 M
Mr. Henry T. A. Moniz
Chief Compliance Officer
0.00
1.2 Analyst Opinion
Bull
Meta's core advertising business has benefited greatly through improved ad targeting and content recommendation algorithms as well as a secular increase in digital advertising spending.
Meta's scale, with the majority of the world's internet-connected users accessing its applications, allows it access to high-quality user data which it can package and sell to advertisers.
The firm has an opportunity to drive more ad inventory growth, leveraging new products such as Threads while also improving its monetization of ads on more nascent features such as Stories and Reels.
Bear
Meta's investments in Reality Labs and generative AI stand to lose the firm billions of dollars annually, taking some of the shine off its overall business.
The firm has a monopoly case against it in the US which could potentially force it to break up, severing some of the scale advantages it has built up over time.
Meta has disproportionately benefited from increased ad spending by Chinese retailers including Temu and Shein. A slowdown in spending by these firms could hit Meta's growth.
Stock Pitch
Ratings
Price Target
759.0
Rating
1.43478
Implied Move
4.92%
View
Strong Buy
Meta Platforms operates the world's largest family of social networking websites, including the flagship Facebook site, Instagram, Facebook Messenger, WhatsApp, Reels, and Threads. The sites enable users to communicate with friends and family by posting to the site; to comment on others' posts; to share photographs, website links, and videos; to message; and to play games. The company also partners with application developers to add functionality to the sites, and allows users to pay for virtual goods and services through its Payments function. Meta derives about 55% of its revenue from outside the U.S. and Canada.
1.3 History
1.4 Related
Note
Meta Platforms’s ROE is far greater than it’s competitiors.
---title: Using SPYDIRsubtitle: User Guide / Demoauthor: Brendan Langdate: 2025-07-20format: html: code-tools: source: true other-links: - text: Github href: https://github.com/88Blang/SPYDIRengine: jupyterjupyter: python3execute: echo: false enabled: true---# Setup```{python}# pip install git+https://github.com/88Blang/SPYDIR.gitfrom SPYDIR import Stockfrom IPython.display import HTMLimport pandas as pdimport plotly.graph_objects as goimport plotly.io as piopio.renderers.default ="plotly_mimetype+notebook_connected"ticker ='META'stock_obj = Stock(ticker)stock_dict = stock_obj.get_dict()stock_name = stock_dict['name']stock_summary = stock_dict['summary']['yq']img_buffer = stock_obj.img()```## Analysis for `{python} stock_name`### IntroThis analysis uses the `SPYDIR` package, with all data rendered live from sources across the internet. This page demonstrates how the package supports web-based output, alongside formats like PDF, Microsoft Excel, and others, thanks to its underlying dictionary structure that ensures compatibility with most formats.:::{.callout-note}All content below is rendered using the package. To view the source code, click the `</> Code` button in the top right corner of the page. This package currently supports all U.S. stocks, and work is in progress to support Canadian financial statements.:::```{python}#| column: marginimg_buffer``````{python}#| column: margininfo = stock_obj.infoinfo```### Summary of `{python} stock_name`'s Business:`{python} stock_summary````{python}off_df = pd.DataFrame.from_dict(stock_dict['esg']['company_officers'])HTML(off_df.to_html(index=False))```## Analyst Opinion::: {.column-body-outset-right layout-ncol=2}#### Bull```{python}key ='bull'item_list = stock_dict['summary'].get(key,[])html_items ="".join(f"<li>{item}</li>"for item in item_list)HTML(f"<ul>{html_items}</ul>")```#### Bear```{python}key ='bear'item_list = stock_dict['summary'].get(key,[])html_items ="".join(f"<li>{item}</li>"for item in item_list)HTML(f"<ul>{html_items}</ul>")```:::### Stock Pitch```{python}#| column: marginanalyst_info = pd.DataFrame.from_dict(stock_dict['analyst']['info'], orient="index")analyst_info = analyst_info.rename(columns={0:'Ratings'})analyst_info``````{python}HTML(stock_dict['summary'].get('pitch',''))```## History```{python}from SPYDIR.history import history_to_plotly_candlefrom style_helpers import create_candlestick_chart, pagehist_data = stock_obj.get_history().to_dict()data = history_to_plotly_candle(hist_data)```::: {.dark-content} ```{python}fig = create_candlestick_chart(data, 'dark_plot')fig```:::::: {.light-content} ```{python}fig = create_candlestick_chart(data, 'light_plot')fig```:::## Related:::{.callout-note .column-margin}`{python} stock_name`'s ROE is far greater than it's competitiors.:::```{python}related_df = stock_obj.get_related()HTML(related_df.to_html(index=False))```## Statements```{python}from SPYDIR.financial.helpers import*stock_statements = stock_obj.get_statements()is_table, growths = nasdaq_IS_summary(stock_statements)```::: {.panel-tabset}## Summary```{python}is_table```## Full```{python}pd.DataFrame.from_dict(stock_statements['income_statement'])```:::# ReportsThis report was also generated using the package using the following code snippet:```pythonstock_obj.create_report(output='META_Report.pdf')``````{=html}<a href='/media/META_Report.pdf'> Click here to view the full PDF.</a>```<div>```{=html}<iframe width='100%' height='800px' src='/media/META_Report.pdf'></iframe>```</div>