Share buybacks return capital by reducing shares outstanding, potentially increasing each remaining shareholder’s claim on future earnings. They can also be poorly timed if companies repurchase stock at inflated valuations or borrow excessively to fund them.
Key Takeaways
- Apple leads this ranking based on reported share-repurchase spending.
- The data snapshot is 2026 year-to-date / latest reported periods; fast-moving values should be verified again before publication.
- The best way to judge a buyback is not its size alone, but whether it is funded sustainably and executed at an attractive valuation.
- The ranking measures one dimension only and should not be treated as personalized financial or investment advice.
How We Ranked the Top 10
This ranking uses reported 2026 year-to-date repurchase spending from available company disclosures and market-data compilations. Spending differs from board-authorized buyback capacity.
The primary comparison metric is reported share-repurchase spending. The ranking is designed to be transparent and reproducible rather than subjective.
Top 10 at a Glance
| Rank | Name | Latest figure / basis |
|---|---|---|
| 1 | Apple | about $37.4B spent |
| 2 | Salesforce | about $31.2B |
| 3 | NVIDIA | about $25.3B |
| 4 | Bank of America | about $13.2B |
| 5 | Visa | about $12.7B |
| 6 | Goldman Sachs | about $9.22B |
| 7 | Microsoft | about $9.21B |
| 8 | Mastercard | about $8.93B |
| 9 | Broadcom | about $8.45B |
| 10 | JPMorgan Chase | about $8.33B |
The Top 10 in Detail
1. Apple
At No. 1, Apple records about $37.4B spent on the metric used for this ranking. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
2. Salesforce
Salesforce takes the No. 2 position, with about $31.2B in the latest snapshot. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
3. NVIDIA
Ranked No. 3, NVIDIA stands at about $25.3B based on the methodology above. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
4. Bank of America
At No. 4, Bank of America records about $13.2B on the metric used for this ranking. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
5. Visa
Visa takes the No. 5 position, with about $12.7B in the latest snapshot. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
6. Goldman Sachs
Ranked No. 6, Goldman Sachs stands at about $9.22B based on the methodology above. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
7. Microsoft
At No. 7, Microsoft records about $9.21B on the metric used for this ranking. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
8. Mastercard
Mastercard takes the No. 8 position, with about $8.93B in the latest snapshot. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
9. Broadcom
Ranked No. 9, Broadcom stands at about $8.45B based on the methodology above. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
10. JPMorgan Chase
At No. 10, JPMorgan Chase records about $8.33B on the metric used for this ranking. The ranking captures a single financial dimension at a specific point in time. It should be paired with fundamentals such as revenue, earnings quality, free cash flow, balance-sheet strength and valuation. Large values can signal scale and market confidence, but they can also embed very demanding expectations about future performance.
What This Ranking Tells Us
The best way to judge a buyback is not its size alone, but whether it is funded sustainably and executed at an attractive valuation.
What the ranking reveals
This table is designed to answer a narrow question using reported share-repurchase spending. It gives readers a quick way to compare scale, but the most useful insight comes from asking why the leaders are so large and whether the factors behind that leadership are durable. Industry structure, margins, capital intensity and investor expectations can matter as much as the headline number.
How to use this list responsibly
Treat the ranking as a research starting point, not a buy list. For public companies, review financial statements, cash flow, debt, valuation and competitive position. For historical performance lists, remember that the strongest past returns can be followed by much weaker results. A well-formatted table is useful, but the methodology and limitations are what make the article trustworthy.
Important Limitations
Rankings simplify complex subjects. Market capitalization changes with share prices; earnings can include unusual items; AUM moves with flows and asset prices; bank assets depend on accounting definitions; macroeconomic data can be revised; savings rates can change without notice; and real-estate samples differ by provider. For that reason, InvestorBytes recommends keeping the data date visible and linking to the underlying source.
Financial disclaimer: This content is for general informational and educational purposes only and is not personalized financial, investment, tax or legal advice.
Frequently Asked Questions
Who ranks No. 1 in this list?
Apple ranks first based on reported share-repurchase spending in the 2026 year-to-date / latest reported periods data snapshot used for this article.
How often can this ranking change?
Fast-moving market, rate and price rankings can change daily. Annual macroeconomic and regulatory datasets usually change less frequently but may still be revised.
Does a higher ranking mean it is a better investment?
No. Size, yield, past return or AUM is not an investment recommendation. Risk, valuation, time horizon and personal financial circumstances matter.
Why might another website show different numbers?
Sources can use different reporting dates, currencies, definitions, data vendors or methods. That is why this article states its metric and data date.
How should this article be updated?
Before a future republish, refresh the comparison table from the cited primary or high-quality data source, change the data-as-of date, and revise any item whose rank moved materially.
