Transit times / Gap Canada Inc

Gap Canada Inc

499 ocean import shipments. Delayed 12.1 points less often than the dataset average of 43.8%.

499
Shipments
31.7%
Arrived late
158 shipments
2.7 days
Average delay, when late
median 3 days
5 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.

83
16.6%
Early
258
51.7%
On time
119
23.8%
1–3 days
39
7.8%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 4 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    30.5%
    1.9d
    384117 late
  2. ONE
    0%
    580 late
  3. HMM
    100%
    4.9d
    4040 late
  4. SM Line
    5.9%
    1d
    171 late

By route

All 11 lanes.

% delayed avg days late, when laten = shipments
  1. Colombo Harbor > Newark, Nj
    0%
    1280 late
  2. Mina Raysut > Newark, Nj
    34.1%
    1d
    8830 late
  3. Jawaharlal Nehru > Newark, Nj
    43.6%
    1d
    7834 late
  4. Vung Tau > Tacoma, Wa
    0%
    580 late
  5. Pusan > Tacoma, Wa
    95.2%
    4.9d
    4240 late
  6. Ning Bo > Tacoma, Wa
    78.9%
    3d
    3830 late
  7. Yangshan > Tacoma, Wa
    100%
    3d
    2323 late
  8. Vung Tau > Newark, Nj
    0%
    160 late
  9. Santo Tomas De Castilla > Miami, Florida
    0%
    160 late
  10. Tanjung Pelepas > Newark, Nj
    0%
    110 late
  11. Puerto Cortes > Miami, Florida
    100%
    1d
    11 late

By supplier

Top 12 of 126 suppliers; 271 shipments across the remaining 114 not shown.

% delayed avg days late, when laten = shipments
  1. Soorty Enterprises Pvt Ltd
    32.6%
    1d
    4314 late
  2. The Civil Engineers Ltd
    0%
    410 late
  3. Refat Garments Ltd
    0%
    260 late
  4. Gokaldas Export Ltd
    47.6%
    1d
    2110 late
  5. Artistic Garments Ind Agi Denim
    33.3%
    1d
    217 late
  6. Artistic Milliners Pvt Ltd
    38.9%
    1d
    187 late
  7. Pearl Global Industries Ltd
    50%
    1d
    126 late
  8. Mas Capital Pvt Ltd
    0%
    100 late
  9. Crown Wears Pvt Limited
    0%
    100 late
  10. Ambattur Fashion India Private
    33.3%
    1d
    93 late
  11. Pt Citra Unggul Perkasa Garment
    77.8%
    5d
    97 late
  12. Makalot Garments Cambodia Co Ltd
    0%
    80 late

By vessel

Vessel names are in the most recent data only — 499 of 499 shipments (100%) name one, across 14 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Madrid Express
    0%
    860 late
  2. One Sprinter
    47.1%
    4.9d
    8540 late
  3. Maersk Seletar
    0%
    830 late
  4. Ain Snan Express
    0%
    690 late
  5. Budapest Express
    100%
    3d
    5353 late
  6. Maersk Denver
    100%
    1d
    3232 late
  7. Good Prospect
    100%
    1d
    3232 late
  8. Seroja Lima
    0%
    190 late
  9. One Millau
    0%
    130 late
  10. Santa Barbara
    0%
    100 late
  11. Seaboard Blue
    0%
    90 late
  12. Seaboard Saturn
    0%
    40 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.

47.1%
n=85
2026-07-27
84.2%
n=38
2026-07-29
100%
n=53
2026-07-31
0%
n=3
2026-08-02
0%
n=13
2026-08-03
0%
n=19
2026-08-04
74.4%
n=43
2026-08-05
100%
n=1
2026-08-06
0%
n=69
2026-08-07
0%
n=92
2026-08-09
0%
n=83
2026-08-11

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. Newark, Nj
    19.9%
    1d
    32164 late
  2. Tacoma, Wa
    57.8%
    3.8d
    16193 late
  3. Miami, Florida
    5.9%
    1d
    171 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. Bangladesh
    0%
    980 late
  2. Pakistan
    34.1%
    1d
    8830 late
  3. India
    39.5%
    1d
    8634 late
  4. Vietnam
    64.1%
    3d
    7850 late
  5. Cambodia
    0%
    540 late
  6. Indonesia
    59.3%
    5d
    2716 late
  7. South Korea
    100%
    4.8d
    2424 late
  8. Sri Lanka
    0%
    220 late
  9. Guatemala
    0%
    150 late
  10. China
    60%
    3d
    53 late
  11. Nicaragua
    100%
    1d
    11 late
  12. El Salvador
    0%
    10 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 →