Does Meta Platforms, Inc. (META) have an economic moat?

MoatScan AI rates Meta Platforms, Inc. (META) 80/100 for moat strength, assessed across five sources of competitive advantage: network effects, switching costs, intangible assets, cost advantages and efficient scale. Meta has one of the strongest consumer-internet moats in the market, built on a global portfolio of social and messaging platforms, a massive advertiser ecosystem, and a data-rich recommendation engine that improves…

What is Meta Platforms, Inc.'s moat score?

Meta Platforms, Inc. (META) has a moat score of 80/100. The score is a weighted average of five pillar ratings: network effects, switching costs, intangible assets, cost advantages, and efficient scale. A higher score means the competitive advantages MoatScan AI identifies are wider and more durable.

How does META's share price compare with its estimated fair value?

MoatScan AI estimates META's intrinsic value with a discounted cash flow (DCF) model and shows how that estimate compares with the market price at the time of analysis. The estimate updates with each new financial analysis and is a research estimate, not a recommendation.

What is Meta Platforms, Inc.'s fair value estimate?

MoatScan AI derives Meta Platforms, Inc.'s (META) fair value per share from a discounted cash flow (DCF) model built on the company's reported financials, analyst growth forecasts, and a discount rate reflecting its cost of capital. The Financial Analysis tab shows the estimate alongside every assumption behind it.

Back to Database

META$736.60

Meta Platforms, Inc.

Last Updated

Sep 23, 202620 days ago

Moat & Trend

Management

AI Impact

Competitive Radar

Moat Score

80/100

Executive Summary

Meta has one of the strongest consumer-internet moats in the market, built on a global portfolio of social and messaging platforms, a massive advertiser ecosystem, and a data-rich recommendation engine that improves with scale. Facebook, Instagram, WhatsApp, and Messenger give the company multiple entry points into user attention and advertiser spend, making it difficult for a single rival to dislodge the franchise. The main weaknesses are regulatory pressure, privacy restrictions, and the fact that consumer switching costs are not absolute. Still, Meta’s combination of network effects, brand reach, and infrastructure scale supports a durable advantage. The moat is wide, though not pristine, because the business remains exposed to policy shocks and shifts in user behavior.

Network Effects

Massive Cross-App Gravity

Pillar Strength

9/10

Meta’s strongest moat pillar is network effects. Facebook and Instagram benefit from dense social graphs, while WhatsApp and Messenger anchor personal communication and reinforce contact-based adoption. Creators, advertisers, and users all cluster where audiences already are, which makes the platform more valuable as participation rises. Even when users multi-home, the largest share of their social identity, messaging, and content discovery remains on Meta services. The effect is not perfectly linear because people can add TikTok, Snapchat, or a niche app without abandoning Meta, but Meta’s scale still compounds engagement and ad inventory. That reinforcement is unusually hard to duplicate at global scale.

Switching Costs

Behavioral Inertia Strong

Pillar Strength

7.5/10

Switching costs are meaningful, but not absolute. For consumers, the direct cost of opening a rival app is low, so Meta cannot rely on lock-in alone. The friction comes from accumulated social graphs, chat histories, creator followings, and habitual use patterns that make leaving the platform socially costly. For advertisers, the switching burden is higher: campaign setups, audience models, pixel integrations, attribution workflows, and historical performance data all create operational inertia. WhatsApp also benefits from contact-network lock-in, since users need the same app as their friends and family. The result is strong migration friction, even though multi-homing remains common across social media and ad platforms.

Intangible Assets

Brands Data Algorithms

Pillar Strength

8/10

Meta has powerful intangible assets, led by globally recognized brands in Facebook, Instagram, WhatsApp, and Quest/Ray-Ban adjacent hardware. Those brands give the company trust, habitual usage, and distribution that new entrants cannot quickly buy. More important is Meta’s proprietary data, ranking systems, ad measurement tools, and product iteration capability, which together improve targeting and engagement. The company has also built meaningful AI and recommendation expertise that is difficult to replicate without years of traffic and compute scale. These assets are not legally exclusive in the way patents or licenses might be, and regulatory limits reduce the value of data accumulation, but the brand-plus-data bundle still supports durable pricing power.

Cost Advantages

Advertising Scale Economics

Pillar Strength

7.5/10

Meta enjoys real cost advantages, though they are less absolute than its network effects. Running a global ad marketplace at Meta’s scale spreads product development, infrastructure, and sales and moderation systems across an enormous revenue base. The company can serve advertisers with automated self-serve tools and increasingly AI-assisted optimization, which lowers customer acquisition and servicing costs relative to traditional media and many smaller rivals. Its data-center footprint and custom infrastructure also support efficient delivery of feed, video, and AI workloads. However, rivals like Google, TikTok, and Amazon have comparable balance-sheet strength, so Meta’s cost edge is meaningful but contested rather than structurally unassailable.

Efficient Scale

Few True Global Rivals

Pillar Strength

8/10

Meta benefits from efficient scale because global social networking and messaging markets tend to support only a handful of winners. Once a platform reaches massive user density, it becomes difficult for a new entrant to justify the investment required to attract both users and advertisers at the same time. That is especially true in messaging, where a competitor needs broad adoption before the service becomes useful. The market is not a textbook natural monopoly, and there are clear rivals in short-form video, digital advertising, and communication. Even so, the combination of global reach, brand trust, moderation systems, and infrastructure makes the top tier of players economically entrenched, with limited room for fragmented challengers.

Moat Type & Trend

Why this company earns its moat rating, and where the moat is heading

Moat Type

Wide Moat

Trend

Stable

Why This Rating

Meta belongs in Wide Moat territory because its advantage is not just one social app, but a reinforcing family of dominant products spanning Facebook, Instagram, WhatsApp, and Messenger, plus an embedded ad marketplace and creator ecosystem. A competitor can copy a feature or launch a new app, but it is far harder to recreate the scale of daily social identity, contact graphs, advertiser demand, and measurement infrastructure that Meta already controls. Twenty years from now, the company is still likely to own major social distribution channels and a massive performance advertising engine, even if individual apps rise and fall.

Why This Trend

The moat looks broadly intact rather than clearly widening or eroding. Meta has regained advertiser confidence through better ad tools, heavier AI-driven ranking, and strong engagement across Instagram and WhatsApp, but it also faces durable privacy constraints, content-moderation scrutiny, and competition for attention from short-form video and messaging rivals. Those headwinds have not yet translated into a structural loss of relevance in its core ad stack. The trend would turn Positive if Meta consistently expands monetization without hurting user engagement; it would turn Negative if advertiser ROI or user time spent started shifting materially to substitutes.

Management Quality Assessment

Evaluating leadership track record, capital allocation, and governance

Verdict

Strong

Mark Zuckerberg has led Meta since founding it in 2004 and remains chairman/CEO, so leadership continuity and strategic control are exceptional; the trade-off is concentrated power. Capital allocation has been broadly effective: ROIC is still around 21%–22%, free cash flow has been positive for years, and buybacks have resumed after the 2022 cut, though Reality Labs remains a large speculative bet that has weighed on returns. Meta is founder-led, which has clearly helped execution and speed. Insider ownership is very high at roughly 13%–14%, but the recent direction is unclear. Zuckerberg’s pay is modest versus Meta’s scale, while newer executive awards are heavily performance-linked. No major governance red flags stand out beyond CEO-chair concentration.

Key Highlights

Zuckerberg has been CEO since 2004 and chairman since 2012, giving Meta unusually stable founder-led leadership and a long decision-making track record.
Meta’s ROIC remains roughly 21%–22%, and the company has generated positive free cash flow for many years, indicating strong underlying capital efficiency.
The Instagram, WhatsApp, and Oculus acquisitions were strategically transformative, reinforcing Meta’s network effects and expanding the platform into messaging and immersive computing.
Shareholder alignment is strong: insiders own about 13%–14% of the company, and executive pay is heavily equity-based and performance-linked.
Governance is reasonably solid because board committees are independent, but the combined CEO/chair structure leaves significant control with Zuckerberg.

AI Impact Assessment

Evaluating how AI strengthens or disrupts existing moat pillars

Net verdict: Reinforcer. Meta’s moat pillars—distribution, proprietary behavioral and social-graph data, and infrastructure scale—are all amplified by AI. The company can train and serve models on billions of cross-app interactions, which improves ranking, ad targeting, and recommendation quality faster than peers can replicate. Its custom silicon and data-center footprint lower unit inference costs, turning AI into an operating leverage source rather than just a feature layer. The main caveat is that the model layer itself is becoming commoditized: open-weight rivals and frontier-model vendors can match core generative capabilities, so the durable edge must come from data, product integration, and measurement. Near-term uncertainty is whether AI monetization keeps outpacing capex and privacy constraints.

AI Opportunity Highlights

7 / 10

Meta can train personalization systems on a continuous stream of first-party interactions across Facebook, Instagram, WhatsApp, and Messenger, a dataset rivals cannot directly replicate.
AI-driven ad tools such as Advantage+ improve campaign automation, helping advertisers optimize spend and lift conversion without building their own data science stack.
Custom AI accelerators and large-scale data centers reduce inference and training costs, which can widen margin leverage as AI usage grows across the app family.
Open-source Llama can expand Meta’s developer ecosystem and increase the probability that Meta’s tooling becomes embedded in third-party workflows.
AI features in Quest and smart glasses create new product surfaces where Meta can bundle assistant, vision, and social capabilities into future hardware monetization.

AI Threat Highlights

4 / 10

Foundation-model capabilities are increasingly available from OpenAI, Anthropic, Google, and open-weight ecosystems, reducing the uniqueness of Meta’s core model layer.
Meta’s choice to open-source Llama intentionally commoditizes part of the AI stack, which may weaken direct model monetization even if it supports adoption.
Apple’s app-tracking constraints and broader privacy regulation can limit the data advantage that powers Meta’s ad personalization and measurement.
TikTok and other AI-native recommendation engines continue to compete aggressively for user attention, pressuring Meta’s engagement and ad inventory growth.
Advertisers can increasingly use external AI tools to create and optimize media, which may reduce reliance on platform-specific creative and targeting advantages.

Sign in to see the full analysis

The Strategic Factor Breakdown, Management Quality Assessment, and AI Impact Assessment are available to registered users — it's free.

Last Updated

Sep 23, 202620 days ago

Target Price

Analyst Consensus

FAIR VALUE

Financial Strength

Financial Score

78/100

Executive Summary

Meta’s most notable strength is its exceptional profitability and scale, with revenue rising from $117.93B in FY2021 to $200.97B in FY2025 and TTM at $228.25B, while gross margins remained above 80% and operating margins stayed near 41%–42%. Net income and cash generation are robust, with TTM CFO at $130.30B, though free cash flow has tightened as capex surged to $69.69B and TTM FCF fell to $40.98B. The balance sheet remains solid, supported by $90.26B in cash and short-term investments and $69.10B of working capital, but leverage has edged up as total debt reached $112.32B. Efficiency and returns have softened modestly, even as revenue and EPS forecasts remain constructive and sentiment is strongly positive. Overall, Meta presents a high-quality financial profile with excellent earnings power, some reinvestment pressure, and gradually rising leverage, consistent with its strong ratings.

Income Statement

Revenue · Margins · Profitability

Section Score

8/10

Revenue rose from $117.93B in FY2021 to $200.97B in FY2025, with TTM at $228.25B, showing healthy re-acceleration versus FY2024. Net income recovered sharply after the FY2022 dip to $62.36B in FY2024, though FY2025 eased slightly to $60.46B and TTM is $68.10B. Gross margin stayed exceptional and stable around 80%+, while operating margin improved to 42.18% in FY2024 before moderating to 41.44% in FY2025. Earnings quality is strong, but FY2025 tax expense jumped to $25.47B and other income items were volatile, muting profit conversion. Relative to large-cap internet/platform peers, these margins and cash generation are excellent. Key flags are rising R&D and a softer FCF margin in TTM, though overall execution remains strong.

Financials are in millions USD unless otherwise specified

Metric	FY 2021	FY 2022	FY 2023	FY 2024	FY 2025	TTM
Period Ending	Dec 31, 2021	Dec 31, 2022	Dec 31, 2023	Dec 31, 2024	Dec 31, 2025	Jun 30, 2026
Revenue	117,929	116,609	134,902	164,501	200,966	228,247
Revenue Growth	37.18%	-1.12%	15.69%	21.94%	22.17%	27.65%
Net Income	39,370	23,200	39,098	62,360	60,458	68,098
Net Income Growth	35.08%	-41.07%	68.53%	59.50%	-3.05%	-4.77%
Profit Margin	33.38%	19.90%	28.98%	37.91%	30.08%	29.84%

Data as of Jun 30, 2026

Balance Sheet

Assets · Liabilities · Equity

Section Score

8.5/10

Meta’s balance sheet remains very strong overall, with current assets of about $125.48B against current liabilities of $56.38B, leaving solid working capital of $69.10B. Cash and short-term investments rose to $90.26B, though total debt also increased to $112.32B, resulting in modest net debt of $22.06B. Total assets expanded to $450.0B while total liabilities climbed to $188.74B, but equity also advanced to $261.22B, showing a durable capital base. Book value per share and tangible book value per share both improved meaningfully over time. The main watchpoint is the faster rise in debt and other liabilities, but liquidity and solvency still appear comfortable.

Financials are in millions USD unless otherwise specified

Metric	FY 2021	FY 2022	FY 2023	FY 2024	FY 2025	Current
Period Ending	Dec 31, 2021	Dec 31, 2022	Dec 31, 2023	Dec 31, 2024	Dec 31, 2025	Jun 30, 2026
Total Current Assets	66,666	59,549	85,365	100,045	108,722	125,475
Total Assets	165,987	185,727	229,623	276,054	366,021	449,956
Total Current Liabilities	21,135	27,026	31,960	33,596	41,836	56,379
Total Liabilities	41,108	60,014	76,455	93,417	148,778	188,735

Data as of Jun 30, 2026

Cash Flow Statement

Operations · Investing · Financing

Section Score

7.5/10

Meta shows strong cash generation, with operating cash flow rising from $57.68B in FY2021 to $115.80B in FY2025, and TTM CFO at $130.30B. Free cash flow remains substantial at $46.11B in FY2025, though it fell 14.7% TTM to $40.98B as capital expenditures surged to $69.69B, signaling heavier reinvestment. Working capital swings were manageable overall, but TTM change in other operating assets turned negative and cash flow from operations grew more slowly than net income. Capital returns are aggressive: buybacks stayed very large at $44.65B in FY2025, while dividends and debt issuance increased. Overall, cash generation is strong, but rising investment needs are pressuring FCF quality.

Financials are in millions USD unless otherwise specified

Metric	FY 2021	FY 2022	FY 2023	FY 2024	FY 2025	TTM
Period Ending	Dec 31, 2021	Dec 31, 2022	Dec 31, 2023	Dec 31, 2024	Dec 31, 2025	Jun 30, 2026
Operating Cash Flow	57,683	50,475	71,113	91,328	115,800	130,301
Operating Cash Flow Growth	48.87%	-12.50%	40.89%	28.43%	26.80%	27.37%
Free Cash Flow	38,993	19,289	44,068	54,072	46,109	40,976
Free Cash Flow Growth	65.34%	-50.53%	128.46%	22.70%	-14.73%	-18.27%
Free Cash Flow Margin	33.06%	16.54%	32.67%	32.87%	22.94%	17.95%

Data as of Jun 30, 2026

Key Ratios

Liquidity · Leverage · Efficiency · Returns

Section Score

7/10

Meta shows strong but somewhat moderating fundamentals. Liquidity remains comfortable: the current ratio declined from 3.15 to 2.23 and the quick ratio from 2.94 to 1.99, but both still indicate ample short-term coverage. Leverage has increased over time, with debt-to-equity rising from 0.11 to 0.43 and debt-to-free-cash-flow from 0.36 to 2.74, while net debt has moved from a surplus position to modest positive levels. Efficiency has softened, as asset turnover slipped from 0.73 to 0.61. Profitability remains robust, though ROE, ROA, ROIC, and ROCE have all eased from prior peaks, suggesting returns are still healthy but less exceptional than before.

Ratios are dimensionless unless otherwise noted

Metric	FY 2021	FY 2022	FY 2023	FY 2024	FY 2025	Current
Period Ending	Dec 31, 2021	Dec 31, 2022	Dec 31, 2023	Dec 31, 2024	Dec 31, 2025	Sep 22, 2026
Debt / Equity Ratio	0.11	0.21	0.24	0.27	0.39	0.43
Quick Ratio	2.94	2.01	2.55	2.82	2.42	1.99
Current Ratio	3.15	2.2	2.67	2.98	2.6	2.23
ROEReturn on Equity (ROE)	31.10%	18.52%	28.04%	37.14%	30.24%	29.85%
ROAReturn on Assets (ROA)	17.96%	11.93%	14.07%	17.15%	16.21%	14.59%
ROICReturn on Invested Capital (ROIC)	46.41%	26.70%	32.58%	43.91%	31.28%	25.40%
ROCEReturn on Capital Employed (ROCE)	32.30%	21.10%	23.70%	28.60%	25.70%	22.10%

Data as of Sep 22, 2026

Growth

Revenue · EPS · Valuation · Estimates

Section Score

8/10

Meta’s growth profile shows a clear recovery and re-acceleration: revenue slipped slightly in FY2022, then rebounded to $134.90B in FY2023 and $164.50B in FY2024, with the forward path pointing to $200.97B in FY2025, $254.12B in FY2026, and $306.06B in FY2027. That suggests steady compounding with only modest deceleration in the later forecast year. EPS has been more volatile historically, but the forward outlook is constructive, rising from $31.07 to $34.84 between FY2026 and FY2027, while revenue grows faster than EPS, implying some margin normalization after prior expansion. Analyst sentiment is firmly positive: Strong Buy consensus, 62 analysts, and a wide but elevated target range ($580 to $1000, median $756.5). Recommendation trends are stable to slightly improving, with no sell ratings.

Third-party Analyst Price Targets

Low$580-21.26%

Median$756.5+2.70%

Average$761.01+3.31%

High$1,000+35.76%

Strong BuyConsensus rating and price targets published by third-party analysts. Not a MoatScan AI view.

62 analysts

Third-party Analyst Recommendation Trends

Rating	Apr '26	May '26	Jun '26	Jul '26	Aug '26	Sep '26
Strong Buy	47	49	49	47	47	47
Buy	9	8	8	8	8	9
Hold	7	7	6	7	7	6
Sell	0	0	0	0	0	0
Strong Sell	0	0	0	0	0	0
Total	63	64	63	62	62	62

Forecast · Analyst Estimates

Revenue This Year254.12B

+26.45%from 200.97B

FY 2026

Revenue Next Year306.06B

+20.44%from 254.12B

FY 2027

EPS This Year· non-GAAP adj.31.07

+4.71%from 29.68

FY 2026

EPS Next Year· non-GAAP adj.34.84

+12.13%from 31.07

FY 2027

Historical · Reported Actuals

Metric	FY 2021	FY 2022	FY 2023	FY 2024	FY 2025
Revenue	117.93B	116.61B	134.90B	164.50B	200.97B
Revenue Growth	+37.18%	-1.12%	+15.69%	+21.94%	+22.17%
EPS (GAAP diluted)	13.77	8.59	14.87	23.86	23.49
EPS Growth	+36.47%	-37.62%	+73.11%	+60.46%	-1.55%

Revenue in USD · EPS per share · Price targets in USD

Data as of Dec 31, 2025 · Forecast EPS is analyst non-GAAP adjusted; historical EPS is GAAP diluted — not directly comparable.

Fair Value Estimation

DCF · Model estimate vs. price +19.2% · Price below model estimate

AI Fair Value Estimate (DCF)

$878.24vs$736.6

Model estimate vs. price+19.2%

Price below model estimate

A discounted cash flow framework is well suited to Meta because the business is highly cash generative and the operating profile can be projected with some confidence over a long horizon. The modeled cash-flow path points to expanding scale, strong margins, and disciplined capital intensity, with free cash flow rising materially as revenue compounds and capex remains controlled relative to growth. That combination supports a view of margin durability today, while the longer-dated terminal value assumes a clear growth fade from a high-growth platform to a steadier mature cash generator.

AI Valuation Commentary

A discounted cash flow approach is the right lens for Meta because the business converts revenue into substantial free cash flow and can be modeled through a long operating runway. The valuation embeds 10-year revenue growth of 10.1%, a 65.32% average EBITDA margin, and capex at 24.05% of revenue, discounted at 9.5% with 4% terminal growth. Under those assumptions, fair value is 878.24 USD per share versus a current price of 736.6 USD, implying a 19.23% margin of safety and an Undervalued verdict. The result is most sensitive to discount rate, terminal growth, and margin durability; stronger monetization or lower capital intensity would support upside, while weaker execution would narrow it.

DCF Assumptions

WACC

9.5%

Weighted avg cost of capital

Revenue Growth (10Y)

10.1%

CAGR assumption

EBITDA Margin

65.3%

Steady-state projection

CapEx / Revenue

24.1%

Capital investment

Terminal Growth

4.0%

Long-run growth rate

Projection Period

10 yrs

Explicit forecast horizon

Projected Cash Flows

Values in millions USD

Year	Revenue	EBITDA	FCF	Discounted FCF
Yr 1	234,672	144,860	67,040	61,224
Yr 2	269,113	168,559	82,865	69,110
Yr 3	306,929	196,870	97,232	74,057
Yr 4	351,443	228,828	113,716	79,098
Yr 5	401,980	260,033	128,854	81,852
Yr 6	439,653	287,824	145,475	84,392
Yr 7	478,293	316,362	161,540	85,582
Yr 8	503,054	337,934	176,305	85,301
Yr 9	531,365	360,438	189,283	83,634
Yr 10	557,934	381,045	201,453	81,289
Terminal Value (PV)				1,537,104

Key Valuation Ratios

Current vs 5-year average

PE Ratio

27.93x

5Y avg 22.37x

+24.8% vs avg

Forward PE

23.05x

5Y avg 21.68x

+6.3% vs avg

P/FCF Ratio

45.87x

5Y avg 24.89x

+84.3% vs avg

PS Ratio

8.24x

5Y avg 6.93x

+18.9% vs avg

A multiple below its own multi-year average can indicate the stock is cheaper than its recent history — context, not a standalone signal.

Sign in to see the full analysis

The Income Statement, Balance Sheet, Cash Flow, Key Ratios, Forecast, and Fair Value analysis are available to registered users — it's free.

Last Updated

Sep 26, 2026

Short Term

Medium Term

Long Term

Technical Overview

$751.66Price at Analysis

META’s technical profile is still positive across all three horizons, led by a powerful short-term breakout that has pushed price well above its 20-day average and close to the top of the recent Bollinger range. The overbought RSI and elevated volatility suggest the move is extended, but momentum remains firmly intact rather than exhausted. Medium and long-term signals are also supportive because the stock trades well above both the 50-day and 200-day moving averages and remains in the upper portion of its 52-week range. The one meaningful caution is the Death Cross territory flag, which prevents the setup from becoming uniformly bullish. Near term, $747.13 and $764.72 are the most important levels to watch, while $728.46 and $685.92 define the broader pullback structure.

Short Term

1 to 4 weeks

Strong uptrend

META’s near-term setup is strongly constructive: price is 13.74% above the 20-day MA, MACD is bullish, and the stock is trading near the upper Bollinger Band, indicating persistent upside momentum. RSI at 76.5 is overbought, so a pause or consolidation is possible, but volume remains supportive and the trend is still clearly upward.

Key Indicators

Price vs 20-day MA+13.74% above

Price vs 50-day MA+22.07% above

RSI (14-day)76.5

RSI InterpretationOverbought

MACD TrendPositive (above signal)

Bollinger PositionNear upper band

Volume TrendNeutral

Support

$747.13$742.28$732.89

Resistance

$764.72$770.16$778.95

The closest short-term level is the daily pivot support at $747.13, just below the current price, with $755.92 acting as the immediate pivot reference and $764.72 as the first resistance to watch. Given the strong momentum, a retest of $764.72 looks likely over the next 1–4 weeks, while $742.28 and $732.89 define the next downside cushions if momentum cools.

Medium Term

1 to 6 months

Uptrend

The intermediate trend remains positive with price 22.07% above the 50-day MA and 19.98% above the 200-day MA, which confirms a broadly healthy structure. The main caveat is the Death Cross territory flag, which tempers confidence somewhat, but the upper-third 52-week range position and strong trend direction still favor a constructive medium-term bias.

Key Indicators

Price vs 50-day MA+22.07% above

Price vs 200-day MA+19.98% above

52-Week Range PositionUpper third (89%)

Trend DirectionUptrend

MA Cross SignalDeath Cross territory

Relative Volume1.13x avg

Support

$728.46$709.30$693.67

Weekly support at $728.46 is the nearest medium-term floor, with deeper layers at $709.30 and $693.67; these levels sit below the 50-day and 200-day trend structure and should act as important pullback zones. In a 1–6 month window, testing $728.46 is plausible, while a move toward the lower weekly supports would likely require a broader momentum reset.

Long Term

6 months and beyond

Uptrend

Longer term, META is still trading well above the 200-day MA and sits in the upper 89% of its 52-week range, which supports an ongoing secular uptrend. That said, the Death Cross territory signal and elevated volatility argue for a less aggressive stance than the short-term picture, keeping the long-term view bullish rather than very bullish.

Key Indicators

Price vs 200-day MA+19.98% above

52-Week High$779.82

52-Week Low$520.26

Distance from 52w High-3.6%

BB Bandwidth37.1%

MA CrossoverNone detected

Support

$685.92$649.17$620.46

Monthly support at $685.92 is the key structural boundary, followed by $649.17 and $620.46, which frame the broader long-term risk area. Over 6+ months, the more relevant upside reference remains the 52-week high near $779.82, while any decisive break below $685.92 would signal a meaningful deterioration in the long-term trend.

Sign in to see the full analysis

See the full short, medium & long-term indicator breakdowns and support/resistance levels — free for registered users.

Frequently asked questions about Meta Platforms, Inc.

Does Meta Platforms, Inc. (META) have an economic moat?: MoatScan AI rates Meta Platforms, Inc. (META) 80/100 for moat strength, assessed across five sources of competitive advantage: network effects, switching costs, intangible assets, cost advantages and efficient scale. Meta has one of the strongest consumer-internet moats in the market, built on a global portfolio of social and messaging platforms, a massive advertiser ecosystem, and a data-rich recommendation engine that improves…Sign in free to see the Moat Type verdict and the pillar-by-pillar reasoning.
What is Meta Platforms, Inc.'s moat score?: Meta Platforms, Inc. (META) has a moat score of 80/100. The score is a weighted average of five pillar ratings: network effects, switching costs, intangible assets, cost advantages, and efficient scale. A higher score means the competitive advantages MoatScan AI identifies are wider and more durable.Sign in free to see each pillar rating, the Moat Type verdict and the moat trend.
How does META's share price compare with its estimated fair value?: MoatScan AI estimates META's intrinsic value with a discounted cash flow (DCF) model and shows how that estimate compares with the market price at the time of analysis. The estimate updates with each new financial analysis and is a research estimate, not a recommendation.Sign in free to see the fair value estimate and how it compares with the price.
What is Meta Platforms, Inc.'s fair value estimate?: MoatScan AI derives Meta Platforms, Inc.'s (META) fair value per share from a discounted cash flow (DCF) model built on the company's reported financials, analyst growth forecasts, and a discount rate reflecting its cost of capital. The Financial Analysis tab shows the estimate alongside every assumption behind it.Sign in free to see the estimate and the full assumptions behind it.

View all

View all wide moat stocks

Disclaimer: The analysis on this page is generated by AI and is provided for informational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any security. Always conduct your own due diligence and consult a qualified financial adviser before making any investment decisions. MoatScan AI is an educational research tool. It is not licensed or registered with the Securities Commission Malaysia or any other financial regulator, and it holds no positions in, and receives no compensation from, any company analysed.

META$736.60

Sign in to see the full analysis

Sign in to see the full analysis

Sign in to see the full analysis

Frequently asked questions about Meta Platforms, Inc.

Other Wide Moat companies