Exponent, Inc.
EXPO scores 58.0 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.
Moderate penalties (-4.3 points) reflect identified risk factors. The overall score balances these against the stock's fundamental strengths.
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 |
|---|---|---|---|---|---|
| EXPO | 58.0 | 33.3 | 4.2% | 18.2% | $3.5B |
| FER | 83.7 | 12.2 | 7.4% | 35.3% | $51.9B |
| NDSN | 76.3 | 35.1 | 3.8% | 17.4% | $16.6B |
| OMAB | 76.1 | 20.1 | 4.3% | 32.7% | $6.2B |
| ODFL | 75.8 | 39.8 | -0.9% | 20.4% | $40.6B |
| FAST | 72.7 | 42.6 | 8.7% | 15.3% | $53.3B |
| WWD | 70.9 | 47.8 | 7.3% | 12.4% | $22.8B |
| CSX | 70.9 | 26.5 | -3.1% | 20.5% | $76.0B |
| LECO | 70.9 | 31.5 | -4.4% | 11.6% | $16.2B |
| CTAS | 70.4 | 41.9 | 7.7% | 17.5% | $77.7B |
| PCAR | 70.4 | 28.2 | -4.2% | 12.4% | $66.7B |
| RYAAY | 69.7 | 13.0 | 3.8% | 11.6% | $34.3B |
| CPRT | 69.1 | 23.0 | 9.7% | 33.4% | $36.3B |
| FELE | 68.5 | 35.5 | -2.1% | 8.9% | $4.8B |
| AEIS | 67.8 | 81.2 | 21.4% | 8.3% | $11.9B |
| IESC | 67.7 | 30.9 | 16.9% | 9.1% | $10.3B |
| Sector Average | 45.2 | 64.5 | 19.0% | -48.2% | — |
Exponent, Inc., together with its subsidiaries, operates as a science and engineering consulting company worldwide. It operates in two segments, Engineering and Other Scientific, and Environmental and Health. The Engineering and Other Scientific segment provides services in the areas of biomechanics, biomedical engineering and sciences, buildings and structures, civil engineering, construction consulting, data sciences, electrical engineering and computer science, human factors, materials and corrosion engineering, mechanical engineering, polymer science and materials chemistry, thermal sciences, and vehicle engineering. The Environmental and Health segment offers services in the areas of chemical regulation and food safety, ecological and biological sciences, environmental and earth sciences, and health sciences. The company offers approximately 90 technical disciplines to solve pressing and complicated challenges facing stakeholders. It serves clients in chemical, construction, consumer products, energy, food, beverage and nutrition, government, life sciences, insurance, manufacturing, technology, industrial equipment, transportation, and other sectors of the economy. The company was formerly known as The Failure Group, Inc. and changed its name to Exponent, Inc. in 1998. Exponent, Inc. was founded in 1967 and is headquartered in Menlo Park, California.
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 2026 | Q3 2025 | Q2 2025 | Q1 2025 |
|---|---|---|---|---|
| Revenue | $147M | $147M | $142M | $146M |
| Gross Profit | $36M | $37M | $23M | $137M |
| Operating Income | $29M | $29M | $17M | $44M |
| Net Income | $25M | $28M | $27M | $27M |
| EPS (Diluted) | $0.49 | $0.55 | $0.52 | $0.52 |
| Gross Margin | 24.3% | 24.9% | 16.4% | 94.5% |
| Operating Margin | 19.8% | 19.7% | 12.1% | 30.5% |
| Net Margin | 16.8% | 19.1% | 18.7% | 18.3% |
| Year | Low | High | Range | Status |
|---|---|---|---|---|
| 2021 | $85.99 | $127.61 | 39% | Wide |
| 2022 | $80.97 | $118.93 | 38% | Wide |
| 2023 | $64.61 | $112.75 | 54.3% | Wide |
| 2024 | $68.70 | $115.75 | 51% | Wide |
| 2025 | $63.81 | $97.57 | 41.8% | 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.