CarGurus, Inc.
CARG scores 60.6 on the Conservative profile, blending a fundamental score (80% weight, emphasizing quality and stability (84% of fundamental weight)) with a machine-learning signal (20% weight) trained on 82 features across 30 years of data.
No material penalties applied. CARG ranks #345 based on its factor profile and ML signal alignment.
These features are direct inputs to the machine learning model. The model was trained on these signals alongside 100 features (including 12 momentum/technical indicators) to produce the ML percentile score.
| Stock | Score | P/E | Rev Growth | Margin | Mkt Cap |
|---|---|---|---|---|---|
| CARG | 60.6 | 18.4 | 1.4% | 17.2% | $3.0B |
| MAR | 76.9 | 37.2 | 4.3% | 9.9% | $93.0B |
| ULTA | 75.5 | 26.2 | 0.8% | 10.6% | $31.0B |
| ABNB | 75.5 | 30.1 | 10.3% | 20.5% | $81.8B |
| ORLY | 73.1 | 32.5 | 5.7% | 14.3% | $77.0B |
| HAS | 73.0 | 16.7 | -17.3% | 9.3% | $14.1B |
| ROST | 71.5 | 30.7 | 3.7% | 9.9% | $66.4B |
| GTX | 71.5 | 11.8 | 3.1% | 8.6% | $4.0B |
| DPZ | 71.1 | 21.9 | 5.1% | 12.4% | $13.7B |
| CART | 69.7 | 19.9 | 11.0% | 13.5% | $9.9B |
| EBAY | 69.6 | 18.3 | 1.7% | 19.3% | $39.7B |
| GNTX | 68.3 | 14.3 | 0.6% | 17.5% | $5.2B |
| MCRI | 66.1 | 17.2 | 4.4% | 18.6% | $1.8B |
| CASY | 65.5 | 41.0 | 7.3% | 3.4% | $25.2B |
| AMZN | 65.5 | 27.7 | 12.4% | 10.8% | $2.2T |
| TXRH | 65.2 | 27.6 | 16.0% | 8.1% | $12.2B |
| Sector Average | 47.3 | 36.9 | 6.3% | -6.5% | â |
CarGurus, Inc. operates an online automotive platform for buying and selling vehicles in the United States and internationally. It operates through two segments, U.S. Marketplace and Digital Wholesale. The company provides an online automotive marketplace that allows customers to search for new and used car listings from its dealers; and connects dealers to a large audience of informed and engaged consumers while providing dealers with actionable data-based insights. It also offers Digital Deal which allows shoppers to start purchase from a VDP on eligible listings that provides them with purchase options; Finance in Advance, where eligible consumers can pre-qualify for financing on cars from dealerships that offer financing from partners; Sell My Car  Top Dealer Offers which allows dealers to make tailored trade-in offers; and Sell My Car  Instant Max Cash Offer which allows consumers to sell vehicles to dealers online. In addition, the company provides dealer listings and data insights products; auto manufacturers and others advertiser products, such as brand reinforcement, category sponsorship, automobile segment exclusivity, and consumer segment exposure; Autolist, an online automotive marketplace through mobile applications and a website; and PistonHeads which is an automotive marketplace, auction platform, and editorial site for automotive enthusiasts. The company was formerly known as CarGurus LLC and changed its name to CarGurus, Inc. in June 2015. CarGurus, Inc. was founded in 2005 and is headquartered in Boston, Massachusetts.
Stock is in a downtrend below the 200-day moving average. Price is below both the 50-day and 200-day SMAs, indicating sustained selling pressure.
| Metric | Q4 2025 | Q3 2025 | Q2 2025 | Q1 2025 |
|---|---|---|---|---|
| Revenue | $241M | $239M | $234M | $225M |
| Gross Profit | $218M | $214M | $204M | $200M |
| Operating Income | $69M | $55M | $25M | $46M |
| Net Income | $50M | $45M | $22M | $39M |
| EPS (Diluted) | $0.51 | $0.45 | $0.22 | $0.37 |
| Gross Margin | 90.4% | 89.5% | 87.3% | 88.7% |
| Operating Margin | 28.7% | 22.9% | 10.6% | 20.3% |
| Net Margin | 20.7% | 18.7% | 9.5% | 17.3% |
| Year | Low | High | Range | Status |
|---|---|---|---|---|
| 2021 | $22.63 | $39.77 | 54.9% | Wide |
| 2022 | $9.14 | $50.03 | 138.2% | Wide |
| 2023 | $14.13 | $24.64 | 54.2% | Wide |
| 2024 | $21.18 | $39.10 | 59.5% | Wide |
| 2025 | $24.65 | $41.33 | 50.6% | Wide |
Growth estimates have been dampened based on technical and fundamental signals. This is a post-hoc adjustment to prevent overly optimistic projections for stocks showing declining momentum or deteriorating fundamentals.
Scores are generated by a multi-stage ML pipeline combining fundamental analysis, ensemble predictions, and structural risk signals. All data is for research purposes only and does not constitute financial advice. Past performance does not guarantee future results.