Methodology and Data Sources

Every proprietary score and forecast on Dividend Data is computed from public data using documented models. Each page below describes the inputs, the math, and the limitations.

• Dividend Safety Score Methodology

  How Dividend Data computes the proprietary Safety Score — a six-factor model assessing the likelihood a company maintains its current dividend over the next 12–24 months.

  Last reviewed: 2026-05-14

• Dividend Growth Forecast Methodology

  How Dividend Data forecasts the next 1–5 years of dividend growth using historical CAGR, payout-ratio trajectory, and consensus EPS forecasts.

  Last reviewed: 2026-05-14

• Yield Trend Methodology

  How Dividend Data computes historical and forward yields, identifies anomalies, and interprets yield-on-cost trajectories.

  Last reviewed: 2026-05-14

• Data Sources and Provenance

  Where Dividend Data’s underlying market and fundamentals data comes from, refresh cadence per data type, and our policy for handling source revisions.

  Last reviewed: 2026-05-14