Transit times / Targeting A Inc

Targeting A Inc

130 ocean import shipments. Delayed 17.6 points less often than the dataset average of 43.8%.

130
Shipments
26.2%
Arrived late
34 shipments
2.6 days
Average delay, when late
median 2 days
17 days
Worst single delay

How late, when late

Every shipment placed in a band. Early and on-time are shown too, so the delayed share is read against the whole, not on its own.

0
0%
Early
96
73.8%
On time
30
23.1%
1–3 days
1
0.8%
4–7 days
2
1.5%
8–14 days
1
0.8%
15+ days

By carrier

All 9 carriers used.

% delayed avg days late, when laten = shipments
  1. Zim
    24%
    1.6d
    7518 late
  2. CMA CGM
    17.4%
    1d
    234 late
  3. Evergreen
    0%
    100 late
  4. Wan Hai Lines
    100%
    3.7d
    99 late
  5. HEDE Shipping
    0%
    70 late
  6. Yang Ming
    50%
    5d
    21 late
  7. HMM
    100%
    9d
    22 late
  8. COSCO
    0%
    10 late
  9. Seth Shipping
    0%
    10 late

By route

All 9 lanes.

% delayed avg days late, when laten = shipments
  1. Shanghai > Los Angeles, Ca
    3.9%
    11.7d
    763 late
  2. Yantian > Los Angeles, Ca
    33.3%
    1d
    124 late
  3. Shanghai > Newark, Nj
    100%
    2d
    1010 late
  4. Ning Bo > Los Angeles, Ca
    0%
    90 late
  5. Ning Bo > Newark, Nj
    100%
    1d
    88 late
  6. Shekou > Los Angeles, Ca
    100%
    2d
    88 late
  7. Yantian > Long Beach, Ca
    0%
    40 late
  8. Kaohsiung > Savannah, Ga.
    0%
    20 late
  9. Ning Bo > Savannah, Ga.
    100%
    5d
    11 late

By supplier

All 11 suppliers.

% delayed avg days late, when laten = shipments
  1. Sun Track Express China Co Ltd
    22.4%
    1.5d
    9822 late
  2. Sun Track Express Shenzhen Co
    100%
    2d
    88 late
  3. Concord Tianjin International Freig
    0%
    70 late
  4. T H I Group Shanghai Ltd
    25%
    5d
    41 late
  5. Shanghai All Link Logistics Ltd
    0%
    30 late
  6. Fourever International Limited
    0%
    30 late
  7. Ningbo X H Supply Chain Management
    100%
    11.7d
    33 late
  8. Easy Link Int L Logistics
    0%
    10 late
  9. Shenzhen Zbao Logistics Company
    0%
    10 late
  10. Ningbo Qichen International
    0%
    10 late
  11. Wan G International
    0%
    10 late

Delay rate by arrival date

Share of each day’s arrivals that came in late. A single late vessel puts the same delay on every container it carried, so a tall isolated bar is usually one sailing rather than a bad week — the count under each bar is the check on that.

33.3%
n=51
2026-08-04
21.5%
n=79
2026-08-05

By destination port

Where the delay actually lands — a congested discharge port shows up here rather than under the carrier.

% delayed avg days late, when laten = shipments
  1. Los Angeles, Ca
    14.3%
    3.7d
    10515 late
  2. Newark, Nj
    100%
    1.6d
    1818 late
  3. Long Beach, Ca
    0%
    40 late
  4. Savannah, Ga.
    33.3%
    5d
    31 late

By supplier country

Origin-side effects: a country whose shipments are consistently late points at booking or documentation, not at the ocean leg.

% delayed avg days late, when laten = shipments
  1. China
    26.2%
    2.6d
    13034 late

Reading this

Delay is measured against each shipment’s own estimated arrival on the same manifest record, so it reflects what was promised for that shipment. Average days late is taken over delayed shipments only.

A delay is usually a property of one sailing: every container off a late ship arrives the same day. It is not only that — an estimated arrival is set per bill of lading at booking, so two containers on the same ship can carry different delays. Across the shipments that name a vessel, two thirds of same-ship, same-day groups share a single delay value and a third do not.

Watch the counts. A carrier or lane with a handful of shipments can show a dramatic rate off one or two late arrivals — the n beside every bar is there so a small sample is never mistaken for a pattern.

Track a shipment live →