Transit times / Winners Merchants International Lp

Winners Merchants International Lp

471 ocean import shipments. Delayed 26.9 points more often than the dataset average of 43.8%.

471
Shipments
70.7%
Arrived late
333 shipments
3.8 days
Average delay, when late
median 3 days
15 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.

17
3.6%
Early
121
25.7%
On time
206
43.7%
1–3 days
107
22.7%
4–7 days
0
0%
8–14 days
20
4.2%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    45.9%
    2.2d
    255117 late
  2. MSC
    100%
    2.3d
    104104 late
  3. CMA CGM
    100%
    7.7d
    8888 late
  4. COHE
    100%
    4.5d
    2222 late
  5. APLL
    100%
    5d
    11 late
  6. MZLY
    100%
    1d
    11 late

By route

Top 12 of 26 lanes; 83 shipments across the remaining 14 not shown.

% delayed avg days late, when laten = shipments
  1. Mundra > Newark, Nj
    50%
    1d
    5829 late
  2. Yangshan > Tacoma, Wa
    100%
    3.2d
    5757 late
  3. Ning Bo > Tacoma, Wa
    58.5%
    3.1d
    4124 late
  4. Yantian > Seattle, Wa
    100%
    2.9d
    4141 late
  5. Mundra > New York, N.Y.
    100%
    5.2d
    3333 late
  6. Pusan > Tacoma, Wa
    0%
    310 late
  7. Colombo Harbor > New York, N.Y.
    100%
    6.6d
    2828 late
  8. Colombo Harbor > Newark, Nj
    0%
    280 late
  9. Shanghai > Seattle, Wa
    100%
    1d
    2828 late
  10. Jawaharlal Nehru > Newark, Nj
    33.3%
    1d
    155 late
  11. Shanghai > Tacoma, Wa
    100%
    15d
    1414 late
  12. Mina Raysut > Newark, Nj
    100%
    1d
    1414 late

By supplier

Top 12 of 247 suppliers; 320 shipments across the remaining 235 not shown.

% delayed avg days late, when laten = shipments
  1. Abs International Inc
    100%
    2.9d
    3333 late
  2. Maersk Logistics Services India Pr
    36.7%
    1d
    3011 late
  3. Apm Terminals India Private Limited
    100%
    5.1d
    1313 late
  4. Maersk Logistics Services China
    100%
    15d
    1313 late
  5. Kohinoor Textile Mills Limited
    100%
    7d
    1212 late
  6. Wing Jet Limited
    100%
    3.8d
    1212 late
  7. Peachtree Home Accents Private
    87.5%
    4.4d
    87 late
  8. Ever Pioneer Textiles Corp
    100%
    1.5d
    88 late
  9. Aurora Art Co Ltd
    66.7%
    3d
    64 late
  10. Sultana Sweaters Ltd
    0%
    60 late
  11. Indo Count Industries Ltd
    80%
    4.3d
    54 late
  12. Maersk Logistics Services Cambodia
    0%
    50 late

By vessel

Vessel names are in the most recent data only — 471 of 471 shipments (100%) name one, across 23 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Budapest Express
    100%
    3d
    6969 late
  2. Manzanillo Bridge
    100%
    1d
    6262 late
  3. Cma Cgm Bianca
    100%
    7d
    5454 late
  4. Santa Barbara
    0%
    480 late
  5. Msc Pina
    100%
    4d
    3737 late
  6. Ain Snan Express
    0%
    300 late
  7. Good Prospect
    100%
    1d
    2828 late
  8. Seroja Lima
    0%
    270 late
  9. Maersk Denver
    100%
    1d
    2020 late
  10. Ever Sigma
    100%
    15d
    1919 late
  11. Maersk Seletar
    0%
    170 late
  12. Cma Cgm Congo
    100%
    2d
    1616 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.

100%
n=67
2026-07-27
100%
n=28
2026-07-29
100%
n=69
2026-07-31
100%
n=37
2026-08-01
100%
n=6
2026-08-02
100%
n=5
2026-08-03
3.4%
n=29
2026-08-04
60.7%
n=122
2026-08-05
95%
n=20
2026-08-06
34.8%
n=46
2026-08-07
29.4%
n=17
2026-08-09
0%
n=2
2026-08-10
26.1%
n=23
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. Tacoma, Wa
    69.2%
    5.2d
    156108 late
  2. Newark, Nj
    35.3%
    1d
    13949 late
  3. Seattle, Wa
    100%
    2.4d
    106106 late
  4. New York, N.Y.
    100%
    5.9d
    7070 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
    79.7%
    4d
    217173 late
  2. India
    62.7%
    3.5d
    12679 late
  3. Vietnam
    81.1%
    3.2d
    3730 late
  4. Pakistan
    100%
    4.7d
    3636 late
  5. Bangladesh
    11.1%
    5.3d
    273 late
  6. Cambodia
    9.1%
    4d
    111 late
  7. Indonesia
    0%
    40 late
  8. Taiwan
    100%
    2.5d
    44 late
  9. South Korea
    100%
    3d
    22 late
  10. Thailand
    100%
    3d
    22 late
  11. Turkey
    0%
    10 late
  12. Hong Kong S.A.R.
    100%
    5d
    11 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 →