XNYS · Insurance - Life
Last stored close · Nov 10, 2026
Close · Nov 10, 2026
$57.78+1.08%
Model Target
available with Pro
Implied upside
vs the model target
Valuation methods
the methods behind the target
TickerWhale Score
43/100
Weak
Score components
TickerWhale View
CNO Financial Group scores 43 out of 100 overall, which we rate weak. Technical is its strongest area and Risk its weakest.
What helps
- Technical
What to watch
- Quality & growth
- Valuation
- Risk
Quality & growth
30%19Weak
- Revenue growth 6.0%
- EPS growth -1.4%
Valuation
25%36Weak
- P/E 19.6
- EV/Sales 1.9
Price history
Intraday to five-year windows are free with an account
Members switch between 1D, 1M, 6M, 1Y, 2Y and 5Y and see the live price. Signed out, this is the one-year stored series the technicals below are computed from.
Market intelligence
Peer position
#135 / 196sector rank by TickerWhale Score
TickerWhale Score 43 vs sector average 50.5 (-7.5)
Revenue growth (industry)Top 70%
Gross margin (industry)Top 50%
Return on equity (industry)Top 70%
P/E (industry)Pricier than 80%
Technical analysis
our read · what classic indicators sayTickerWhale technical read
94/100Strong vs universe
Ranks 94th of 100 covered names on our technical composite — the composite itself scores 83/100 · 25% of the TickerWhale Score
Classic chart indicators
Strong Buy
6 buy · 0 sell · 2 neutral of 8 votes
TickerWhale rates CNO's technical setup strong — 94th percentile of the covered universe. Classic chart indicators lean buy, pointing the same way.
Moving averages
9 / 9constructive
- vs 200-day+17.8%
- vs 50-day+5.3%
Momentum
Constructive
- RSI (14)61 · neutral
- Stochasticbuy
- CCIbuy
- Williams %Rneutral
Trend
Constructive
- ADX (14) trend strength21· trending
- MACD (12,26,9)buy(histogram 0.177)
How the classic verdict is reached
Moving averages (9) agree on buy — 9 buy vs 0 sell — and carry one vote between them.
Oscillators (7) vote individually: 5 buy · 0 sell · 2 neutral.
Result — 6 buy vs 0 sell of 8 votes = Strong Buy. Neutral votes never decide the verdict.
Fundamentals & valuation
2026-11-10 · revised_latestValuation multiples
- P/E (TTM)19.6
- P/S (TTM)1.2
- P/B2.1
- EV/EBITDA—
- EV/Sales1.9
- PEG—
Profitability & returns
- Gross margin45.2%
- Net margin6.0%
- ROE11.0%
- Debt/Equity1.76
Growth
- Revenue growth (YoY)6.0%
- EPS growth (YoY)-1.4%
Green favourable · red stretched — multiples and D/E vs industry peers, margins and growth vs absolute thresholds.
Market capitalisation — $5.5B
Fundamentals history
Reported statement totals across recent periods.
Fundamentals are stored revised/latest (ADR-009): each period reflects the most recent vendor refresh, NOT point-in-time as-reported values. Do not use this series to claim what was known on a past date.
Model Target
Model Target is a Pro feature
Scores, factors and technicals stay free. The model's price target is part of TickerWhale Pro.
The Model Target is a TickerWhale Pro feature
A target exists for this name — the model priced it in the latest nightly run. Pro members see the target, its range and the methods behind it; one name's target is free every trading day.
Or see the current free one: KNSA →
Peers
| Company | Score | Pulse | P/E | P/E fwd | P/B | EV/Sales | Price | Chg | Estimate | Upside | Rev. gr. |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CNOCurrentCNO Financial Group | 43 | 83 | 19.6 | — | 2.1 | 1.9 | $57.78 | +1.08% | +6.0% | ||
| WTMWhite Mountains Insurance Group | 89 | 74 | 5.0 | — | 1.0 | 1.6 | $2,280.00 | +1.05% | +55.5% | ||
| JXNJackson Financial Inc - | 81 | 78 | 164.4 | — | 1.0 | 1.1 | $138.01 | +1.84% | +15.1% | ||
| ALLAllstate Corp (The) | 80 | 73 | 5.1 | — | 2.0 | 1.1 | $261.12 | +2.89% | +5.9% | ||
| FHIFederated Hermes Inc - | 79 | 81 | 12.0 | — | 3.8 | 2.5 | $65.53 | +0.89% | +15.0% | ||
| AMGAffiliated Managers Group | 76 | 81 | 12.6 | — | 3.6 | 5.9 | $401.32 | +4.74% | +11.8% |
News, sentiment, the Street view and Ask Willy are free with an account
A free account shows the stories attached to this name, the Sentiment Signal breakdown, analyst consensus, the options read and the AI narration of the model output.