AAPL vs MSFT: Which Stock Has Delivered Better Long-Term Returns on Nasdaq?
What AAPL and MSFT Have in Common
Business Model and Product Differences: Where the Money Really Comes From
Apple’s model: premium hardware + ecosystem services
- Core devices (iPhone, Mac, iPad, Wearables) create the installed base.
- Services (App Store, subscriptions, payments, cloud, etc.) monetize that base and can smooth cyclicality versus hardware alone.
Microsoft’s model: enterprise productivity + cloud + platform services
- Office/Teams/Business software are deeply embedded in organizational workflows.
- Azure and server/cloud offerings monetize infrastructure demand and application modernization.
- Gaming (Xbox + services) adds a consumer/subscription layer Apple doesn’t directly mirror.
Price Snapshot and Nasdaq Context
- AAPL closed $271.86 on Dec 31, 2025 (StockAnalysis historical table).
- MSFT closed $483.62 on Dec 31, 2025 (StockAnalysis historical table).
- AAPL 52-week range: 169.21 – 288.62 (as shown on StockAnalysis).
- MSFT 52-week range: 344.79 – 555.45 (as shown on StockAnalysis).
Returns: How AAPL Stock and MSFT Stock Have Behaved Over Time
Annual total returns (dividends reinvested)
Year | AAPL Total Return | MSFT Total Return |
2025 | +9.05% | +15.58% |
2024 | +30.71% | +12.93% |
2023 | +49.01% | +58.19% |
2022 | −26.40% | −28.02% |
2021 | +34.65% | +52.48% |
2020 | +82.31% | +42.53% |
2019 | +88.96% | +57.74% |
2018 | −5.39% | +20.80% |
2017 | +48.46% | +40.73% |
2016 | +12.48% | +15.08% |
- Both stocks can decline sharply in broad risk-off years (e.g., 2022).
- Apple’s best years often reflect a mix of multiple expansion plus upgrade-cycle optimism (2020, 2019).
- Microsoft’s best years tend to align with enterprise software strength and cloud/platform re-rating (2021, 2023).
- In practice, the “winner” depends heavily on entry valuation, macro regime, and which narrative the market is paying for (device cycle vs. cloud/AI adoption).
Dividends: Growth Profiles, Not High Yield
Dividend per share by year
Year | AAPL | MSFT |
2025 | 1.0300 | 3.4000 |
2024 | 0.9900 | 3.0800 |
2023 | 0.9500 | 2.7900 |
2022 | 0.9100 | 2.5400 |
2021 | 0.8650 | 2.3000 |
2020 | 0.8075 | 2.0900 |
2019 | 0.7600 | 1.8900 |
2018 | 0.7050 | 1.7200 |
2017 | 0.6150 | 1.5900 |
2016 | 0.5575 | 1.1100 |
Dividend yields (current framing)
- AAPL annual dividend is about $1.04 with yield around 0.39%.
- MSFT annual dividend is about $3.64 with yield around 0.77%.
Why the Business Model Differences Show Up in Stock Behavior
Sensitivity to the consumer vs. the enterprise
Revenue visibility and “recurrence”
Narrative leadership cycles (AI, platforms, ecosystems)
Product Differences and Similarities at a Glance
Tokenized U.S. Stocks on MEXC: AAPLON vs AAPLX vs MSFTON
AAPLX (Apple xStock): a tracker certificate token
AAPLON / MSFTON (Ondo tokenized stocks)
Key differences vs owning AAPL or MSFT shares (plain-English)
- Ownership & rights: holding a token typically does not equal being a registered shareholder with full voting rights.
- Dividend handling: the way dividends are passed through (or reflected in price) depends on the token product’s terms, not automatically the same as stock ownership.
- Market structure: tokenized products may trade on crypto rails with different liquidity, spreads, and trading conventions than Nasdaq.
- Counterparty and structure risk: tokenized designs can be “asset-backed” or “synthetic/tracker” structures; the risk profile changes based on how the product is engineered. MEXC educational materials highlight that some tokenized stock structures track via instruments/oracles rather than direct share backing, which is why reading product descriptions matters.
In Actual Work: What This Comparison Is Commonly Used For
- Portfolio building: deciding whether you want more consumer-cycle exposure (AAPL-leaning) or enterprise/cloud exposure (MSFT-leaning), and how to diversify within mega-cap tech.
- Risk explanations for reports: translating stock moves into drivers (upgrade cycle vs. cloud growth) when writing weekly market updates.
- Product research: evaluating tokenized-stock products by mapping “what it tracks” vs. “what you actually own,” so you can explain differences clearly to users or stakeholders.
Final takeaway

The articles shared on this page are sourced from public platforms and are provided for reference only. They do not represent the position or views of MEXC. All rights belong to MEXC. If you believe any content infringes upon the rights of a third party, please contact [email protected] for prompt removal. MEXC does not guarantee the accuracy, completeness, or timeliness of any content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be interpreted as a recommendation or endorsement by MEXC. For expert insights and in-depth analysis, visit MEXC Learn.
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