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Annual report
PTL benchmarks 2025 — carrier scorecards
On-time delivery, damage rate, billing accuracy across leading PTL carriers in our coverage network.
PTL benchmark · top 5 of 14
1.2M shipments. First-party event data. No carrier self-reporting.
| Carrier | OTD | Damage | Billing |
|---|---|---|---|
| C-01top | 96.4% | 0.41% | 98.7% |
| C-02 | 94.8% | 0.62% | 97.9% |
| C-03 | 92.1% | 0.78% | 96.4% |
| C-04 | 89.6% | 1.12% | 94.1% |
| C-05 | 84.3% | 2.31% | 89.6% |
We measured 14 PTL carriers across 1.2 million shipments. Each was scored on on-time delivery, damage rate, billing accuracy, and exception responsiveness. This page is the public-facing summary; the full PDF includes carrier-level scorecards, lane-level breakdowns, and the methodology behind each metric.
The headline distribution
On-time delivery — distribution across 14 carriers
>95%
3 carriers
90–95%
5 carriers
85–90%
4 carriers
80–85%
1 carrier
<80%
1 carrier
On-time = delivery scan within carrier-quoted SLA window
The four metrics, summarised
- On-time delivery — median 91.4% across the network. Top quartile breaks 95.2%.
- Damage rate — median 0.74%. Bimodal distribution; sealed bay-to-bay carriers cluster at 0.4–0.9%, manual cross-dock at 2.1–3.4%.
- Billing accuracy — median 96.8% (low dispute rate). Strong correlation (r = 0.71) with on-time delivery.
- Exception response — median 4h 12m to first acknowledgement. P90 is 11h 34m.
"The cheapest PTL carrier on the rate card is rarely the cheapest after disputes. We costed the dispute drag and stopped looking at rate-only comparisons."
What the PDF includes
- Full carrier-level scorecards (anonymised on the public version)
- Lane-level breakdowns across the top 40 corridors in our coverage
- Cost vs. quality scatter — where each carrier sits on price/performance
- The dispute-cost calculator we use to normalise rate comparisons
1.2M
shipments analysed
14
PTL carriers benchmarked
0.74%
median damage rate across the network
r=0.71
correlation: on-time vs. billing accuracy
Key takeaways
- 1Damage rate is bimodal. Sortation model — sealed transfer vs. manual cross-dock — is the best predictor.
- 2Cheap carriers tend to have wrong invoices. Bake dispute drag into rate comparisons.
- 3Use first-party event data, not carrier self-reported metrics, to evaluate performance.
Download the full PDF
Get the editable templates, full data tables, and the comparison matrix in one file.