Transit times / The Gap Inc

The Gap Inc

1,481 ocean import shipments. Delayed 19.8 points less often than the dataset average of 43.8%.

1,481
Shipments
24%
Arrived late
356 shipments
2 days
Average delay, when late
median 2 days
9 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.

726
49%
Early
399
26.9%
On time
329
22.2%
1–3 days
26
1.8%
4–7 days
1
0.1%
8–14 days
0
0%
15+ days

By carrier

All 5 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    18.4%
    1.4d
    933172 late
  2. ONE
    20.1%
    1.4d
    30962 late
  3. HMM
    71.9%
    2.1d
    12892 late
  4. SM Line
    1.6%
    1d
    631 late
  5. CMA CGM
    60.4%
    6.5d
    4829 late

By route

Top 12 of 16 lanes; 18 shipments across the remaining 4 not shown.

% delayed avg days late, when laten = shipments
  1. Yangshan > Long Beach, Ca
    0%
    5000 late
  2. Mina Raysut > Newark, Nj
    37.4%
    1d
    281105 late
  3. Singapore > Los Angeles, Ca
    46.9%
    2.1d
    19692 late
  4. Vung Tau > Los Angeles, Ca
    22.6%
    1d
    17740 late
  5. Colombo Harbor > Newark, Nj
    0%
    850 late
  6. Yangshan > Los Angeles, Ca
    100%
    2d
    6767 late
  7. Santo Tomas De Castilla > Miami, Florida
    0%
    610 late
  8. Pusan > Long Beach, Ca
    0%
    320 late
  9. Singapore > Newark, Nj
    100%
    2d
    2222 late
  10. Colombo Harbor > New York, N.Y.
    100%
    6.2d
    1818 late
  11. Hai Phong > Los Angeles, Ca
    0%
    130 late
  12. Jawaharlal Nehru > New York, N.Y.
    100%
    7d
    1111 late

By supplier

Top 12 of 95 suppliers; 566 shipments across the remaining 83 not shown.

% delayed avg days late, when laten = shipments
  1. The Civil Engineers Ltd
    19.6%
    2d
    22444 late
  2. Refat Garments Ltd
    4.3%
    2d
    1848 late
  3. Soorty Enterprises Pvt Ltd
    50%
    1d
    13065 late
  4. Artistic Garments Ind Agi Denim
    31.3%
    1d
    8025 late
  5. Ananta Apparels Ltd
    5.7%
    2d
    533 late
  6. Artistic Milliners Pvt Ltd
    29.3%
    1d
    4112 late
  7. Thats It Sweater Ltd
    0%
    410 late
  8. Makalot Garments Cambodia Co Ltd
    30.8%
    1d
    3912 late
  9. Pt Citra Unggul Perkasa Garment
    45.5%
    2d
    3315 late
  10. Armana Apparels Ltd
    9.1%
    2d
    333 late
  11. Nishat Mills Ltd
    10%
    1d
    303 late
  12. Crown Wears Pvt Limited
    11.1%
    2d
    273 late

By vessel

Vessel names are in the most recent data only — 1,481 of 1,481 shipments (100%) name one, across 26 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Gerd Maersk
    0%
    5000 late
  2. Maersk Seletar
    0%
    1550 late
  3. Conti Conquest
    1%
    9d
    971 late
  4. Seattle Bridge
    69.8%
    2d
    9667 late
  5. Georg Maersk
    100%
    2d
    6767 late
  6. Good Prospect
    100%
    1d
    6161 late
  7. Ain Snan Express
    0%
    560 late
  8. One Commitment
    45.3%
    2d
    5324 late
  9. Maersk Denver
    100%
    1d
    4444 late
  10. Wan Hai A19
    0%
    420 late
  11. One Singapore
    100%
    1d
    4040 late
  12. Conti Contessa
    0%
    390 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.

26.7%
n=90
2026-07-27
0%
n=19
2026-07-28
60.4%
n=101
2026-07-29
0%
n=42
2026-07-30
0%
n=2
2026-07-31
0%
n=500
2026-08-01
30.6%
n=72
2026-08-02
57.3%
n=117
2026-08-04
98.2%
n=112
2026-08-05
16.7%
n=6
2026-08-06
55.6%
n=126
2026-08-07
1%
n=97
2026-08-08
0%
n=42
2026-08-09
0%
n=155
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. Long Beach, Ca
    0%
    5410 late
  2. Los Angeles, Ca
    43.3%
    1.8d
    460199 late
  3. Newark, Nj
    32.7%
    1.2d
    388127 late
  4. Miami, Florida
    1.6%
    1d
    631 late
  5. New York, N.Y.
    100%
    6.5d
    2929 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
    10.3%
    2d
    65267 late
  2. Pakistan
    37.4%
    1d
    281105 late
  3. Indonesia
    31.1%
    2.1d
    16451 late
  4. Cambodia
    25.5%
    1d
    15740 late
  5. Singapore
    94%
    2d
    6763 late
  6. Guatemala
    0%
    520 late
  7. Vietnam
    0%
    380 late
  8. South Korea
    0%
    230 late
  9. Sri Lanka
    100%
    6.2d
    1818 late
  10. India
    100%
    7d
    1111 late
  11. El Salvador
    0%
    90 late
  12. Taiwan
    0%
    70 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 →