Hims & Hers Health, Inc. (HIMS) Probability Analysis

Probability analysis extracts the risk-neutral probability distribution implied by option prices. It shows the market-implied likelihood of the underlying reaching various price levels by expiration.

Hims & Hers Health, Inc. (HIMS) operates in the Healthcare sector, specifically the Medical - Equipment & Services industry, with a market capitalization near $5.62B, listed on NYSE, employing roughly 1,637 people, carrying a beta of 2.42 to the broader market. Hims & Hers Health, Inc. Led by Andrew Dudum, public since 2019-09-13.

Snapshot as of May 29, 2026.

Spot Price
$25.84
ATM IV
80.0%
IV Rank
29.2%
IV Percentile
32.1%
HV 20-Day
92.1%
IV Skew 25Δ
0.015

As of May 29, 2026, Hims & Hers Health, Inc. (HIMS) at $25.84 has an ATM IV of 80.0%, implying a 30-day one-standard-deviation range of approximately ±$5.93. IV rank is 29.2% (subdued, distribution priced tighter than usual). IV percentile is 32.1%. The 25-delta skew is +0.015: roughly symmetric wings. Under lognormal assumptions roughly 68% of outcomes fall within ±1σ and 95% within ±2σ; risk-neutral probability analysis refines this by extracting the market-implied distribution directly from options prices, capturing the fat tails that real markets exhibit.

How HIMS probability analysis Data Feeds Strategy Selection

Strategy selection on Hims & Hers Health, Inc. options does not derive from any single metric in isolation. The probability analysis view above sits inside a broader read: ATM IV currently sits at 80.0% and dealer gamma exposure is positive, so dealer hedging is mechanically mean-reverting. Combine the probability analysis data here with the volatility-skew surface, dealer-gamma exposure, max-pain level, and upcoming-events calendar to build a positioning thesis. Risk-defined structures (credit spreads, debit spreads, iron condors) are usually safer than naked positions while the regime is uncertain; the data on this page anchors the inputs but does not by itself constitute a trade thesis.

How to read the HIMS probability distribution

The probability cone above is the option-market-implied distribution of where Hims & Hers Health, Inc. spot could end up at expiration. It's derived from the implied-volatility surface via a risk-neutral pricing transformation, not from historical realized returns. With ATM IV at 80.0% and spot at $25.84, the 1σ band is approximately ±27.6% over a 30-day horizon. Recent realized HV-20 of 92.1% runs 12.1 vol points above current implied, an inverted regime where premium buyers are underpaying.

HIMS risk-neutral vs real-world probabilities

The probabilities derived from option prices reflect the market's risk-adjusted view, not the realized statistical distribution. Risk-neutral probabilities include the equity risk premium and skew preferences priced into options, so they tend to overstate tail probability and understate upside drift relative to actually-realized outcomes. For probability-of-touch calculations and assignment-risk modeling, risk-neutral is the right benchmark. For position-sizing your own conviction, blend with realized-volatility-based statistics from the HV columns.

Trading the HIMS distribution

Probability-driven strategies aim to capture mispricings between the implied distribution and your own probability assessment. Premium-selling structures (credit spreads, iron condors, cash-secured puts) profit when the implied distribution overprices tail probability relative to realized; premium-buying (debit spreads, long calls/puts, long straddles) profits in the reverse. With HIMS IV rank at 29.2%, the chain is pricing tighter tails than recent realized history; buyers get cheaper optionality but need a real catalyst to monetize. Always pair probability-driven strategy selection with a stop loss or wing-defined risk - the implied distribution is a snapshot, and regime shifts can invalidate it intraday.

Learn how risk-neutral density is reported and how to read the data →

HIMS implied volatility by strike, top contracts ranked by IV in the nightly options scanHIMS Implied Volatility Skew (Top Contracts)120%130%140%150%$40$50$60$70$80$90Strike ($)Implied VolatilityCall IVPut IV
Chart aggregates top-ranked contracts by strike from the institutional-grade nightly options scan. Sparse coverage on long-tail tickers reflects the scan's S&P 500/400/600 + ETF focus.

HIMS highest implied-volatility contracts

TypeStrikeExpirationVolumeOIIVBidAsk
CALL$90.00Jun 18, 20260802152.7%$0.01$0.03
CALL$80.00Jun 18, 202611.7K152.6%$0.01$0.03
CALL$70.00Jun 18, 2026313.9K152.2%$0.02$0.03
PUT$70.00Jun 18, 20260449152.2%$43.05$45.25
CALL$60.00Jun 18, 2026225.5K143.6%$0.02$0.04
CALL$55.00Jun 18, 2026214.8K137.3%$0.01$0.05
CALL$50.00Jun 18, 20263612.1K132.5%$0.03$0.06
CALL$40.00Jun 5, 202611693119.8%$0.01$0.03
CALL$48.00Jun 18, 20263106117.2%$0.01$0.12
CALL$47.00Jun 18, 20260557114.0%$0.01$0.12

Top 10 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked HIMS probability analysis questions

What is the HIMS 30-day expected price range?
As of May 29, 2026, with HIMS at $25.84 and ATM IV at 80.0%, the implied 30-day one-standard-deviation range is approximately ±$5.93, or about $19.91 to $31.77. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does HIMS risk-neutral density tell us?
Risk-neutral density is the probability distribution of future HIMS price implied by listed option prices. Extracted via Breeden-Litzenberger (twice-differentiating the call price function with respect to strike), it represents the pricing kernel rather than the real-world probability of outcomes. Persistent skew or fat-tail features in the density reflect how the market is pricing tail risk.
How does HIMS ATM IV translate to a probability range?
ATM IV is annualized; multiplying by sqrt(t/365) scales it to the chosen tenor. Under lognormal assumptions, the resulting standard deviation defines the ±1σ band that contains roughly 68% of outcomes, ±2σ for 95%. Empirical equity returns have fatter tails than log-normal, so the implied tail probabilities under-state realized tail frequency in stressed regimes.