Bringing the fundamentals into focus…
Back to Lithia Motors, Inc.
How Lithia Motors, Inc. stacks up
LAD · against 1,552 other Consumer Cyclical companies
Valuation
56/ 100
Above the middle of the pack.
Ranked #677 of 1,553 · scores higher than 56% of peers
Bars: peers in each 10-point band of the valuation score155 peers with a valuation score of 50–59, including LAD · Click a bar to see the companies
Why valuation scores 56?
Weighted metrics compared with all Consumer Cyclical companies.A mix: stronger earnings yield, but weaker free cash flow yield than most Consumer Cyclical peers.
- Negative (a loss or cash outflow), so it counts as zero whatever the share price. Free cash flow yield: -7.7% vs peer median 6.1%
- EBITDA yield is close to the peer norm. EBITDA yield: 8.4% vs peer median 8.8%
- higher earnings for the price paid: stronger than 87% of peers. Earnings yield: 10.1% vs peer median 4.4%
Metric by metric
Position: dot = LAD, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | LAD | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Earnings yieldHigher is better · 1,527 reported | 10.1% | 4.4% | 87% | 30% | |
| EBITDA yieldHigher is better · 1,593 reported | 8.4% | 8.8% | 48% | 50% | |
| Free cash flow yieldHigher is better · 594 reported | -7.7% | 6.1% | 10% | 20% | |
| Book yieldHigher is better · 1,536 reported | 97.4% | 57.2% | 71% | Context only |
Ranking by valuation score
Top 5 and the companies ranked around LAD| Rank | Company | Market cap | Valuation | Overall |
|---|---|---|---|---|
| 1 | 198.5B KRW (≈$143M) | 100 | 73 | |
| 1 | 623.0B KRW (≈$449M) | 100 | 65 | |
| 1 | 382.5B KRW (≈$275M) | 100 | 57 | |
| 1 | 412.0B KRW (≈$297M) | 100 | 56 | |
| 1 | 1.49T KRW (≈$1.1B) | 100 | 73 | |
| 677 | 216M AUD (≈$143M) | 56 | 41 | |
| 677 |
Scores are sector-relative percentiles from the latest snapshot, always calculated against the whole sector: narrowing the comparison group changes who you compare with, not the scores. Missing metrics are left out and the remaining weights rescaled. How we score