CarMax, Inc. (KMX) Stock Price & Analysis
Market: NYSE • Sector: Consumer Cyclical • Industry: Auto - Dealerships
CarMax, Inc. (KMX) Profile & Business Summary
CarMax, Inc., together with its subsidiaries, operates as a retailer of used vehicles in the United States. The company operates through two segments, CarMax Sales Operations and CarMax Auto Finance. It offers customers a range of makes and models of used vehicles, including domestic, imported, and luxury vehicles, as well as hybrid and electric vehicles; and extended protection plans to customers at the time of sale, as well as sells vehicles that are approximately 10 years old and has more than 100,000 miles through wholesale auctions. The company also provides reconditioning and vehicle repair services; and financing alternatives for retail customers across a range of credit spectrum through its CarMax Auto Finance and arrangements with various financial institutions. As of February 28, 2022, it operated approximately 230 used car stores. CarMax, Inc. was founded in 1993 and is based in Richmond, Virginia.
Key Information
| Ticker | KMX |
|---|---|
| Exchange | NYSE |
| Official Site | https://www.carmax.com |
Market Trend Overview for KMX
One model, two time views: what the market looks like right now, and where the larger trend is heading over time.
SRE (WhaleQuant Structural Regime Engine) SRE evaluates how price structure evolves across daily and weekly timeframes to define the prevailing market regime. Beyond identifying trends, consolidations, and exhaustion phases, it distinguishes between raw structural strength and deployable participation quality. The model dynamically adjusts for structural context and extension risk, assessing whether conditions are supportive, stretched, fragile, or structurally impaired. Its purpose is not to forecast precise price levels, but to determine whether risk deployment is aligned with underlying market structure.
Longer-Term Market Trend (Mid to Long Term)
Shows the bigger market trend, how strong it is, and where risks may start to build over the next few weeks or months. — Updated as of 2026-10-13 (ET)
As of 2026-10-13, KMX is showing signs of slowing down. Over the longer term, the trend remains bullish.
KMX last closed at 50.81. The price is about 1.9 ATR below its recent average price (55.06), and the market is currently in a trend that may be losing strength. Price at 50.81 is near minor support around 47.41. Momentum may slow, while minor resistance sits near 59.34. View Support & Resistance from Options
Short-term weakness is unfolding within a broader uptrend, suggesting a pullback rather than a full trend reversal.
Trend score: 55 out of 100. Overall alignment is unclear. The market is currently in a late-stage trend that may be losing strength. The longer-term trend is still positive, but short-term signals are not yet confirming it.
There is no clear key risk boundary right now.
On 2026-09-16, trend conditions deteriorated, suggesting that moves in the prior direction became less dependable.
[2026-09-04] Price moved quickly and looked strong, but participation was limited.
Recent bars show mixed price behavior without a clear shift in structural quality or efficiency.
There was no clear sign of meaningful positions being carried into the overnight session.
The model stays neutral because the setup is not clear enough to justify a directional deployment.
The model does not deploy this setup because the signal stack remains conflicted, recent price behavior has shown failed reversal memory, there is meaningful next-session pullback or digestion risk, and the setup already looks stretched. Predictability is 37%, agreement is 79%, and reversal risk is 33%.
NOTE: This next-day up/down probability forecast module is still being tested for accuracy. Please do not rely on it for investment decisions. The model does not account for black swan events or company-specific fundamental news, and its estimates are based solely on technical conditions, capital flow, and market sentiment. View forecast history
This estimate uses 1-minute price, volume, and VWAP data from the last 58 trading days, with turnover-based decay. The sample period is 2026-07-23 to 2026-10-13. The current price is 50.81, 11.95% below the estimated average cost of 57.70. An estimated 3.1% of recent positioning is below the current price, while 96.6% is above it. The peak-density price is 59.50. The largest concentrated cost region is 57.13 to 59.73 and contains 35.2% of the estimated distribution. The nearest region above the current price is 52.83 to 52.98.
Short Interest & Covering Risk for KMX
This analysis looks at overall short interest positioning, focusing on the broader setup rather than short-term noise.
Shows how likely a short squeeze may be under current market conditions.
Short Exposure Percentile
Short interest is well above normal levels, increasing the risk of forced covering and sudden price moves. (Historical percentile: 83%)
Structure Analysis
KMX Short positioning looks normal. Current days to cover is 2.4 trading days, meaning short positions could unwind at a normal pace. Short covering is likely to have a normal impact on price moves. Price is already trending lower (20D return -15.1%). The current configuration reflects active downside pressure rather than latent structural fragility.
Risk Summary
No clear bull trap characteristics detected. Recent price behavior remains broadly consistent with current positioning.This reading helps confirm that current price action remains structurally healthy and does not indicate elevated trap risk.
Why Price Reactions May Be Stronger?
In the latest reporting period, short interest continues to increase. Price action is compressing (range is tightening), which can make breaks more sensitive. Adaptive thresholds applied to liquidity weakness, near-high detection, and compression sensitivity. As a result, similar news or market events could lead to price moves about 1× larger than usual.
Note:
Short interest data is reported every two weeks by
FINRA.
The most recent snapshot is
2026-09-30 (ET).
Because this data updates slowly, it is not intended to predict short-term price moves. Instead, it helps describe longer-term market structure and where pressure may be building if prices begin to move.