Transit times / Global Line Express Llc

Global Line Express Llc

144 ocean import shipments. Delayed 22.2 points more often than the dataset average of 43.8%.

144
Shipments
66%
Arrived late
95 shipments
4.8 days
Average delay, when late
median 2 days
30 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.

1
0.7%
Early
48
33.3%
On time
65
45.1%
1–3 days
2
1.4%
4–7 days
22
15.3%
8–14 days
6
4.2%
15+ days

By carrier

All 12 carriers used.

% delayed avg days late, when laten = shipments
  1. Zim
    69.4%
    3.2d
    4934 late
  2. Wan Hai Lines
    100%
    3.9d
    3434 late
  3. HMM
    100%
    9d
    2222 late
  4. Evergreen
    0%
    120 late
  5. ONE
    27.3%
    3d
    113 late
  6. Maersk
    0%
    90 late
  7. CMA CGM
    50%
    1d
    21 late
  8. HEDE Shipping
    0%
    10 late
  9. Hapag Lloyd
    0%
    10 late
  10. MSC
    0%
    10 late
  11. COSCO
    0%
    10 late
  12. Yang Ming
    100%
    5d
    11 late

By route

Top 12 of 20 lanes; 12 shipments across the remaining 8 not shown.

% delayed avg days late, when laten = shipments
  1. Shanghai > Los Angeles, Ca
    50%
    11.5d
    2613 late
  2. Shekou > Los Angeles, Ca
    100%
    2d
    2525 late
  3. Ning Bo > Newark, Nj
    94.1%
    1d
    1716 late
  4. Shanghai > Newark, Nj
    100%
    2d
    1616 late
  5. Ning Bo > Los Angeles, Ca
    75%
    9d
    129 late
  6. Yantian > Los Angeles, Ca
    14.3%
    1d
    71 late
  7. Yantian > Savannah, Ga.
    0%
    60 late
  8. Pusan > Houston, Texas
    0%
    60 late
  9. Qingdao > Los Angeles, Ca
    40%
    9d
    52 late
  10. Xiamen > Los Angeles, Ca
    100%
    2d
    44 late
  11. Ning Bo > Savannah, Ga.
    100%
    6.5d
    44 late
  12. Pusan > Los Angeles, Ca
    0%
    40 late

By supplier

Top 12 of 20 suppliers; 9 shipments across the remaining 8 not shown.

% delayed avg days late, when laten = shipments
  1. Ningbo X H Supply Chain Management
    73.6%
    4d
    8764 late
  2. Ningbo Xh Supply Chain Management C
    0%
    90 late
  3. Great Hill Supply Chain Technology
    100%
    9d
    99 late
  4. Barklays Logistics Co Ltd
    100%
    1d
    66 late
  5. Fourever International Limited
    33.3%
    3d
    62 late
  6. Hebei Airsea Logistics Ltd
    0%
    50 late
  7. American International Cargo
    100%
    10.7d
    33 late
  8. Maxwide Logistics Inc
    0%
    20 late
  9. Pudong Prime Int L Logistics
    50%
    3d
    21 late
  10. Wecan International
    100%
    2d
    22 late
  11. Egf International Hong Kong Limit
    100%
    2d
    22 late
  12. Shanghai Zehong International Logi
    100%
    9d
    22 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.

68.1%
n=69
2026-08-04
64%
n=75
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
    64.3%
    5.7d
    8454 late
  2. Newark, Nj
    97%
    1.5d
    3332 late
  3. Savannah, Ga.
    50%
    5.3d
    126 late
  4. Houston, Texas
    0%
    70 late
  5. Miami, Florida
    0%
    40 late
  6. Jacksonville, Fla.
    100%
    30d
    22 late
  7. Long Beach, Ca
    0%
    10 late
  8. Charleston, S.C.
    100%
    7d
    11 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
    69.1%
    4.8d
    13694 late
  2. Norway
    0%
    30 late
  3. South Korea
    33.3%
    3d
    31 late
  4. Saint Helena
    0%
    20 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 →