QualityDipStocks / Finance · Property-Casualty Insurers
Slide Insurance SLDE
Outside our quality screen, so we don’t track its dips. It’s 5% below its 52-week high.
Outside our quality screen. No fair value estimate for now: our model doesn’t fit it reliably.
- Fair value est.
- n/a
- Market Value
- forming
- Off 52-wk high
- −5%
- Risk vs market
- Lowbeta 0.10
5 bullish · 1 bearish See why
Repriced or dip?
Near its high
The price is 5% below its 52-week high (Oct 26), but the business held up: revenue +6.9%, earnings per share +14.9%, shares outstanding fewer shares, each owns more.
Some numbers held up (revenue +6.9%, earnings per share +14.9%, shares outstanding fewer shares, each owns more), others slipped. The price is 5% below its 52-week high.
The price is 5% below its 52-week high, and the business changed too.
Within 10% of its 52-week high, so there is no dip to judge yet.
Data-based read, not advice.
Priced in
How much growth the market assumed at the 52-week high, the low and today (a reverse DCF).
52-wk high: P/E 6.7×; now: P/E 5.5×.
| High | Now | |
|---|---|---|
| Price | $29.08Oct 26 | $27.53 |
| P/E | 6.7× | 5.5× |
What this means: a lower P/E than at the high means you pay less for each dollar of profit than buyers did then.
How it’s computed
Banks, insurers and lenders: cash flow includes deposits and loans, so a cash-flow model doesn't fit; we show P/E at each point instead. P/E = that day's close × diluted shares / 12-month net income, using only the filings that were public on that day.
Valuation
What we estimate it's worth, and how it ranks on value vs every stock we cover.
Fair value estimate
Estimate unreliable for SLDE: returns on book are very high (51% a year, above the 30% our model allows), which means most of the value sits in a fee or brand business that book value doesn't capture. We’d rather show nothing than a made-up number.
Risk vs market
How risk vs market is measured
One year of daily returns (Oct 31 to Nov 2, 252 sessions). Beta = how much SLDE moved for each 1% move in the S&P 500 (SPY); 1.0 moves with the market. Volatility is the yearly standard deviation of daily returns. Past behavior, not a forecast.
Has moved mostly independently of the market, but its own price swings are 3.1× the S&P 500’s (it moves on its own news).
- Beta vs S&P 500
- 0.10
- Volatility
- 40% vs 13% SPY
- Correlation SPY
- 0.03
- Correlation QQQ
- −0.09
Valuation details
Fundamentals
The business itself: sales, profits, cash and debt, from SEC filings.
Bull vs bear
Rule-based from the data on this page, strongest first. Not advice.
Top bullish points 5 of 5
GrowthDiluted EPS grew 102% to $3.36 in FY2025.
GrowthSales compounded 36% a year from FY2024 to FY2025.
GrowthSales grew 42% to $1.5B over the last 12 months vs the 12 months before (SEC filings).
ValuationP/E of 5.5× vs a 13.6× median for the 291 Finance companies we cover.
Cash returnsShare count down 9.3% in a year: $211M of buybacks over 12 months.
Top bearish points 1 of 5
ValuationPrice / book of 2.5×, above the 1.7× median for the 296 Finance companies we cover.
All fundamentals
P/E 5.5 · ROE 51% · Sales +42%
Valuation
- P/E
- 5.5×Finance median 13.6×
- Price / FCF
- n/acash flow isn't a clean measure for an insurer
- FCF yield
- n/acash flow isn't a clean measure for an insurer
- EV / EBITDA
- n/anot meaningful for an insurer
- Price / sales
- 2.16×
- Price / book
- 2.46×
- Market cap
- $3.2Blisted
- Enterprise value
- $2.5B
Growth
- Revenue, 12 months
- $1.5B
- Sales growth, 12 months
- +41.7%vs the 12 months before
- Sales growth, 3 yrs
- +36.5%/yrfrom FY2024
- Diluted EPS, 12 months
- $4.42
- EPS growth, last FY
- +102.4%
- Net income, 12 months
- $583M
- Net income growth
- +67%12 months vs before
Profitability
- Gross margin
- n/anot meaningful for an insurer
- Operating margin
- n/anot reported in its SEC filings
- Net margin
- 39.3%
- FCF margin
- 64.7%
- Return on equity
- 51%
- Return on invested capital
- n/anot meaningful for an insurer
Balance sheet
- Cash & short-term inv.
- $701M
- Total debt
- $28M
- Net cash
- n/anot meaningful for an insurer
- Debt / equity
- n/adeposits/float make debt/equity not comparable for an insurer
- Interest coverage
- n/anot meaningful for an insurer
Cash flow & returns
- Free cash flow, 12 months
- $961M
- FCF growth, 12 months
- +81%
- Dividend yield
- n/ano dividend payments tagged
- Payout ratio
- n/anot reported in its SEC filings
- Buybacks, 12 months
- $211M6.6% of market cap
- Share count, 1 year
- −9.3%diluted shares vs a year ago
- Stock-based comp
- $13M
Trailing 12 months to Sep 30, 2026; balance sheet at Sep 30, 2026. From Slide Insurance’s SEC filings. Sparklines show up to six fiscal years. n/a means we don’t hold that number, with the reason. How each is computed.
The business
FCF $0.4B · Sales +36%
- Free cash flow, 12 months$0.4B
- Free-cash-flow yield11.9%
- Return on equity51%
- Sales growth (latest quarter vs year-ago quarter)+36%
Chart & levels
Where the price is vs its key levels and trends.
Key levels
Every level vs today’s $27.53
- 52-wk lowlowest close, 1 year$15.57−43.4%
- PriceMon Nov 2 close$27.53you are here
- 52-wk highhighest close, 1 year$29.08+5.6%
Momentum & 52-week range
RSI 60 · 5 days −5.3%
Signals
Reversal signal setups, the public ledger and the next earnings date.
Setup & signals
No setup armed
No setup armed, so there’s no trigger or stop to track yet. Reversal signal rules only run on companies that pass our quality screen.
SLDE is outside our quality screen
One text when a published rule fires on one of the 332 quality companies we track: the ticker, the price, the stop and a link to the numbers. Nothing else.
Voices & buzz
Who is talking about it, and how it compares with peers.
Who’s talking about it
Notable investors, executives, analysts and public figures on Slide Insurance in the last 48 hours. Headlines as published, each linked. Their words, not ours.
No notable mentions in the last 48 hours. Checked Nov 3, 1:01 PM ET.
Compare with peers
Closest in size in Property-Casualty Insurers
Information only, not investment advice. Fair value estimates and talking points are rule-based model output from public data and can be wrong; stop levels are reference points, not orders. How every number is computed.