Best Dividend Stocks 2026 — Framler engine

The 25 highest-scoring dividend stocks on the Framler engine — daily refresh. Income-focused names with sustained dividend history. Scores combine 13 academic factor families (quality, value, momentum, insider, options flow, NLP, sector, and more) with Bayesian regime-conditional weighting. Updated daily at 06:00 UTC. Not investment advice.

#TickerSectorScoreVerdictChange
1
FITB
Fifth Third Bancorp
Financial Services82bullish+2.6%
2
XOM
Exxon Mobil Corporation
Energy82bullish-3.9%
3
CVX
Chevron Corporation
Energy79bullish-3.0%
4
GIS
General Mills
Consumer78bullish-0.4%
5
PSX
Phillips 66
Energy77bullish-1.7%
6
KO
Coca-Cola Company
Consumer76bullish-0.5%
7
TAP
Molson Coors Beverage
Consumer74bullish+1.9%
8
TTE
TotalEnergies SE
Energy72bullish-0.4%
9
BK
Bank of New York Mellon
Financial Services71bullish+0.6%
10
VZ
Verizon Communications
Communication71bullish+0.2%
11
GOLD
Barrick Gold
Materials71bullish+3.9%
12
KHC
Kraft Heinz
Consumer71bullish+1.1%
13
HPE
Hewlett Packard Enterprise
Technology69mixed+3.6%
14
JNJ
Johnson & Johnson
Healthcare68bullish-0.3%
15
SBUX
Starbucks Corporation
Consumer68bullish+0.1%
16
V
Visa Inc.
Financials68bullish+0.3%
17
AMGN
Amgen Inc.
Healthcare68bullish+0.2%
18
VLO
Valero Energy
Energy67bullish-3.4%
19
IRM
Iron Mountain
Real Estate67bullish+1.9%
20
MA
Mastercard Inc.
Financials67bullish-0.3%
21
NEM
Newmont Corporation
Materials66bullish+2.2%
22
JPM
JPMorgan Chase
Financials65bullish+2.1%
23
CFG
Citizens Financial Group
Financial Services65bullish+2.4%
24
MRK
Merck & Co.
Healthcare65bullish-1.1%
25
ALL
Allstate Corp
Financial Services64bullish-1.2%
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How this leaderboard is built

Every dividend ticker in the Framler universe is scored daily on the same 13 academic factor families: quality, value, momentum, insider flow, post-earnings drift, accruals, NLP tone, options positioning, sector momentum, industry spillover, short interest, microstructure, and factor interaction. Factors are blended using regime-conditional Bayesian weights — the engine detects expansion / contraction / transition regimes via a Bayesian Online Changepoint Detection model and adjusts factor weights accordingly. Each score comes with a Mondrian conformal prediction interval.

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