COUNTERPOINT · SBC × BUYBACKS — The SBC × Buyback Matrix: Return Dynamics Across Capital Discipline Quadrants
Buyback & SBC Four-Quadrant Map — Segmenting corporations by true share count reduction versus artificial buybacks masking executive equity dilution.
The plate
Russell 3000 companies (revenue ≥$1B) segmented by stock compensation and net buybacks: firms with low dilution and high buybacks returned 13.7% annually in 2021–2023, versus -0.1% for high dilution and low buybacks.
What this page answers
This static page is built to answer searches for COUNTERPOINT · SBC × BUYBACKS. It summarizes the live dataset behind the The SBC × Buyback Matrix: Return Dynamics Across Capital Discipline Quadrants panel and links to the full interactive chart.
Russell 3000 companies (revenue ≥$1B) segmented by stock compensation and net buybacks: firms with low dilution and high buybacks returned 13.7% annually in 2021–2023, versus -0.1% for high dilution and low buybacks. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.
Data & Source
Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.
FAQ
Where does this data come from?
History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). The exact endpoint for this panel is linked below.
How often is it updated?
Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh on Sunday. The timestamp shown on this page comes from the JSON payload.
Can I use the data?
Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.