Transit times / Banana Republic Llc

Banana Republic Llc

306 ocean import shipments. Delayed 22.2 points less often than the dataset average of 43.8%.

306
Shipments
21.6%
Arrived late
66 shipments
3.4 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.

152
49.7%
Early
88
28.8%
On time
45
14.7%
1–3 days
16
5.2%
4–7 days
5
1.6%
8–14 days
0
0%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    8.3%
    1.4d
    15613 late
  2. ONE
    16.4%
    1.1d
    6110 late
  3. HMM
    20.5%
    6.4d
    398 late
  4. CMA CGM
    93.1%
    3.5d
    2927 late
  5. Expeditors International
    53.3%
    6d
    158 late
  6. SM Line
    0%
    60 late

By route

Top 12 of 14 lanes; 2 shipments across the remaining 2 not shown.

% delayed avg days late, when laten = shipments
  1. Yangshan > Long Beach, Ca
    0%
    1110 late
  2. Singapore > Los Angeles, Ca
    18.2%
    6.4d
    448 late
  3. Mina Raysut > Newark, Nj
    20.5%
    1d
    398 late
  4. Pusan > Long Beach, Ca
    0%
    310 late
  5. Colombo Harbor > New York, N.Y.
    100%
    3.2d
    2525 late
  6. Vung Tau > Los Angeles, Ca
    42.9%
    1d
    219 late
  7. Gioia Tauro > Savannah, Ga.
    53.3%
    6d
    158 late
  8. Santo Tomas De Castilla > Miami, Florida
    0%
    60 late
  9. Yangshan > Los Angeles, Ca
    100%
    2d
    55 late
  10. Kaohsiung > Los Angeles, Ca
    0%
    40 late
  11. Jawaharlal Nehru > New York, N.Y.
    100%
    7d
    22 late
  12. Hai Phong > Los Angeles, Ca
    0%
    10 late

By supplier

Top 12 of 44 suppliers; 96 shipments across the remaining 32 not shown.

% delayed avg days late, when laten = shipments
  1. Refat Garments Ltd
    3.4%
    2d
    592 late
  2. Crown Wears Pvt Limited
    10.7%
    2d
    283 late
  3. Thats It Sweater Ltd
    0%
    190 late
  4. Artistic Milliners Pvt Ltd
    29.4%
    1d
    175 late
  5. Soorty Enterprises Pvt Ltd
    6.3%
    1d
    161 late
  6. Pt Glory Industrial Semarang
    33.3%
    7.3d
    124 late
  7. Pt Sun Suka Abadi
    0%
    120 late
  8. Tusker Apparel Ltd Co
    45.5%
    6d
    115 late
  9. Eam Maliban Textiles Mahiyanganaya
    100%
    3.5d
    1010 late
  10. Pt Tpinc Trade Jakarta
    22.2%
    5.5d
    92 late
  11. Pt Gunung Salak Sukabumi
    0%
    90 late
  12. Pt Citra Unggul Perkasa Garment
    0%
    80 late

By vessel

Vessel names are in the most recent data only — 306 of 306 shipments (100%) name one, across 22 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Gerd Maersk
    0%
    1110 late
  2. Maersk Seletar
    0%
    310 late
  3. Conti Conquest
    16.1%
    9d
    315 late
  4. Ym Width
    0%
    310 late
  5. Cma Cgm Congo
    100%
    2d
    1919 late
  6. One Commitment
    0%
    130 late
  7. One Singapore
    100%
    1d
    99 late
  8. Cma Cgm Bianca
    100%
    7d
    88 late
  9. Msc Niovi Viii
    100%
    6d
    88 late
  10. Cma Cgm Berlioz
    0%
    70 late
  11. Seattle Bridge
    50%
    2d
    63 late
  12. Good Prospect
    100%
    1d
    66 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.

0%
n=44
2026-07-27
80%
n=10
2026-07-28
85.7%
n=7
2026-07-29
0%
n=3
2026-07-31
0%
n=111
2026-08-01
7.1%
n=14
2026-08-02
50%
n=6
2026-08-04
100%
n=19
2026-08-05
0%
n=1
2026-08-06
96%
n=25
2026-08-07
16.1%
n=31
2026-08-08
0%
n=4
2026-08-09
0%
n=31
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%
    1420 late
  2. Los Angeles, Ca
    29.3%
    3.2d
    7522 late
  3. Newark, Nj
    22%
    1.1d
    419 late
  4. New York, N.Y.
    100%
    3.5d
    2727 late
  5. Savannah, Ga.
    53.3%
    6d
    158 late
  6. Miami, Florida
    0%
    60 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
    5.1%
    2d
    1186 late
  2. Indonesia
    4.1%
    5.5d
    492 late
  3. Pakistan
    20.5%
    1d
    398 late
  4. Sri Lanka
    100%
    3.4d
    2121 late
  5. South Korea
    0%
    200 late
  6. Cambodia
    47.4%
    1d
    199 late
  7. Jordan
    53.3%
    6d
    158 late
  8. Singapore
    100%
    6d
    77 late
  9. Guatemala
    0%
    60 late
  10. Taiwan
    0%
    40 late
  11. Vietnam
    0%
    30 late
  12. Norway
    100%
    2d
    33 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 →