
Driver Retention is a Data Problem
Why the trucking industry's most expensive operational failure is hiding in plain sight, and what it would take to finally fix it.
TL;DR
Seven of the largest publicly-tracked U.S. truckload and LTL carriers, scored on six retention-relevant operational dimensions, range from 38 (Knight-Swift) to 78 (Old Dominion). The score spread maps almost entirely to operation type, not carrier size or quality of management.
| Rank | Carrier | Ticker | Primary Operation | Score | Risk Category |
|---|---|---|---|---|---|
| 1 | Old Dominion Freight Line | ODFL | LTL | 78 | LOW RISK |
| 2 | J.B. Hunt Transport | JBHT | Intermodal / Dedicated | 63 | MODERATE RISK |
| 3 | Werner Enterprises | WERN | Dedicated / One-Way TL | 57 | MODERATE RISK |
| 4 | Schneider National | SNDR | Dedicated / Intermodal / TL | 55 | MODERATE RISK |
| 5 | Heartland Express | HTLD | Full Truckload OTR | 44 | HIGH RISK |
| 6 | Daseke (TFI) | TFI | Flatbed / Specialized | 41 | HIGH RISK |
| 7 | Knight-Swift Holdings | KNX | Truckload / LTL | 38 | HIGH RISK |
| Dimension | Weight | What it measures |
|---|---|---|
| Est. Driver Turnover Rate | 30% | Disclosed rate or proxy from headcount delta + job postings + earnings commentary |
| Average Length of Haul | 20% | Disclosed or estimated avg LOH by primary operating segment |
| Fleet Mix: Dedicated % | 15% | Share of fleet under multi-year dedicated contracts |
| Asset Utilization | 15% | Revenue miles per tractor per week, OR efficiency, load volume trends |
| Mile Predictability | 10% | Driver income consistency, contract vs. spot exposure, schedule patterns |
| Home Time Structure | 10% | Structural home time frequency by operation type |
| Score Range | Risk Category | Interpretation |
|---|---|---|
| 70 – 100 | LOW RISK | Structural retention advantages; turnover likely well below industry average |
| 45 – 69 | MODERATE RISK | Mixed profile; dedicated/intermodal share offsets OTR exposure |
| 0 – 44 | HIGH RISK | OTR-dominant or structurally high-churn; turnover likely at or above 80–90% |
All scores are derived exclusively from publicly available sources: SEC 10-K filings (FY2025), quarterly earnings releases and calls, investor presentations, and published trade press. No proprietary carrier data was used. Each carrier is scored across six dimensions, weighted as follows: Estimated Driver Turnover Rate (30%), Average Length of Haul (20%), Fleet Mix Dedicated Percentage (15%), Asset Utilization (15%), Mile Predictability (10%), and Home Time Structure (10%).
Where carriers do not disclose driver turnover (none in this cohort do at the fleet level), proxies were estimated from headcount delta, job-posting volume, and earnings-call commentary, calibrated against ATRI segment benchmarks. These scorecards reflect structural retention risk derivable from public data; they are not investment recommendations and do not constitute a complete operational assessment. Carrier-specific lane-level analysis would require proprietary data not available in public filings.
Because none of the seven carriers in the cohort publicly disclose a fleet-wide driver turnover rate. The 30%-weighted "Estimated Driver Turnover Rate" dimension uses proxies derived from headcount changes in 10-Ks, job-posting volume, earnings-call commentary about retention pressure, and ATRI segment benchmarks. This is a limitation of public-data analysis. Carrier-specific lane-level analysis would require proprietary data.
Score correlates with operation type, not size. Knight-Swift's 26,200-driver fleet remains heavily weighted toward OTR truckload, which structurally produces longer LOH, less predictable home time, and higher churn. The U.S. Xpress acquisition added significant volume but also a high-churn driver population that has pressured retention metrics. By contrast, Old Dominion (LTL) and J.B. Hunt (intermodal drayage) have operational structures that are inherently retention-favorable.
No. These scorecards reflect structural and operational retention risk derived from public data. They are not investment recommendations. Retention is one input among many that affects carrier economics; valuation also depends on rate environment, fleet age, capital structure, customer concentration, and many other factors not addressed here.
Quarterly. Each release re-scores the cohort using the most recent SEC filings, earnings releases, and trade press coverage. Cohort composition may evolve over time as new public carriers warrant inclusion or as private carriers list.
Yes. The full scorecard for each of the seven carriers, including all six dimension scores with analyst notes and source citations, is in the downloadable PDF. The dimension-by-dimension detail is what allows a reader to apply the same scoring framework to other carriers or to their own operation.