Transit times / Sen Mart International Inc

Sen Mart International Inc

339 ocean import shipments. Delayed 20.5 points more often than the dataset average of 43.8%.

339
Shipments
64.3%
Arrived late
218 shipments
4.6 days
Average delay, when late
median 3 days
24 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.

18
5.3%
Early
103
30.4%
On time
135
39.8%
1–3 days
34
10%
4–7 days
40
11.8%
8–14 days
9
2.7%
15+ days

By carrier

All 12 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    63.5%
    3d
    7447 late
  2. Wan Hai Lines
    87.3%
    5.1d
    5548 late
  3. Zim
    51%
    2.3d
    4925 late
  4. Evergreen
    45.2%
    1.2d
    4219 late
  5. OOCL
    79.3%
    5.9d
    2923 late
  6. COSCO
    82.1%
    4.1d
    2823 late
  7. ONE
    13%
    1d
    233 late
  8. HMM
    87%
    8.1d
    2320 late
  9. BKGA
    100%
    18.4d
    88 late
  10. SM Line
    0%
    50 late
  11. Yang Ming
    100%
    1d
    22 late
  12. ZTIY
    0%
    10 late

By route

Top 12 of 56 lanes; 103 shipments across the remaining 44 not shown.

% delayed avg days late, when laten = shipments
  1. Yantian > Long Beach, Ca
    47.7%
    2.3d
    4421 late
  2. Xiamen > Los Angeles, Ca
    72.2%
    2.2d
    3626 late
  3. Yantian > Newark, Nj
    69.7%
    5.3d
    3323 late
  4. Qingdao > Los Angeles, Ca
    61.9%
    7.9d
    2113 late
  5. Yantian > Los Angeles, Ca
    11.1%
    5.5d
    182 late
  6. Ning Bo > Long Beach, Ca
    76.5%
    5.8d
    1713 late
  7. Ning Bo > Newark, Nj
    40%
    5.8d
    156 late
  8. Yantian > Savannah, Ga.
    66.7%
    4d
    1510 late
  9. Xiamen > Long Beach, Ca
    100%
    2d
    1111 late
  10. Hai Phong > Long Beach, Ca
    60%
    1.2d
    106 late
  11. Pusan > Newark, Nj
    44.4%
    7.3d
    94 late
  12. Qingdao > Newark, Nj
    85.7%
    1.3d
    76 late

By supplier

Top 12 of 44 suppliers; 49 shipments across the remaining 32 not shown.

% delayed avg days late, when laten = shipments
  1. Rs Logistics Limited
    62.6%
    4.3d
    13987 late
  2. China International Freight China
    71.7%
    2.6d
    4633 late
  3. Ningbo Whol Tac Supply Chain Co Ltd
    42.9%
    3.7d
    219 late
  4. Shenzhen Jiufang E Commerce Logisti
    82.4%
    7.6d
    1714 late
  5. Timing Chain International Company
    26.7%
    4.3d
    154 late
  6. Shenzhen Jiufang E Commerce
    38.5%
    1d
    135 late
  7. Topasia International Logistics Co
    69.2%
    4.2d
    139 late
  8. Shenzhen Hongocean Freight Forwardi
    100%
    18.4d
    88 late
  9. Barklays Logistics Co Ltd
    50%
    2.7d
    63 late
  10. Ningbo Yimei Logistics Technology C
    100%
    1d
    55 late
  11. Casia Global Logistics Co Ltd
    100%
    3d
    44 late
  12. Seamark International Logistics Com
    100%
    4d
    33 late

By vessel

Vessel names are in the most recent data only — 339 of 339 shipments (100%) name one, across 72 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. One Singapore
    100%
    1.9d
    1919 late
  2. Hmm Nuri
    87.5%
    9.6d
    1614 late
  3. Zim Mount Denali
    93.3%
    3.1d
    1514 late
  4. Zim Mount Blanc
    66.7%
    1.6d
    128 late
  5. Msc Mumbai Viii
    18.2%
    1d
    112 late
  6. Wan Hai A19
    100%
    3.1d
    1111 late
  7. Msc Tampa V
    100%
    2d
    1111 late
  8. Msc Dymphna Vi
    0%
    110 late
  9. Ever Mild
    0%
    100 late
  10. Msc La Spezia
    100%
    3d
    1010 late
  11. Tempanos
    100%
    7.2d
    99 late
  12. Ever Muse
    55.6%
    1d
    95 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.

81.3%
n=32
2026-07-27
20%
n=35
2026-07-28
81.5%
n=27
2026-07-29
100%
n=23
2026-07-30
78.6%
n=28
2026-07-31
100%
n=21
2026-08-01
25%
n=12
2026-08-02
25%
n=4
2026-08-03
50%
n=38
2026-08-04
71%
n=31
2026-08-05
64%
n=25
2026-08-06
94.1%
n=17
2026-08-07
28.6%
n=7
2026-08-08
6.7%
n=15
2026-08-09
62.5%
n=16
2026-08-10
87.5%
n=8
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
    66.7%
    3.1d
    10268 late
  2. Newark, Nj
    65.6%
    5.9d
    9663 late
  3. Los Angeles, Ca
    53.3%
    4.5d
    9048 late
  4. Savannah, Ga.
    73.9%
    3.9d
    2317 late
  5. Houston, Texas
    50%
    2.5d
    84 late
  6. Oakland, Ca
    66.7%
    6.5d
    64 late
  7. New York, N.Y.
    100%
    15d
    55 late
  8. Charleston, S.C.
    100%
    6.3d
    33 late
  9. Tacoma, Wa
    100%
    1d
    22 late
  10. Norfolk, Va.
    100%
    3d
    22 late
  11. Miami, Florida
    100%
    4d
    11 late
  12. Seattle, Wa
    100%
    1d
    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
    67.6%
    4.9d
    275186 late
  2. Vietnam
    40%
    4.1d
    2510 late
  3. Grenada
    58.8%
    1.7d
    1710 late
  4. Taiwan
    71.4%
    3.4d
    75 late
  5. South Korea
    33.3%
    5d
    62 late
  6. Sudan
    100%
    2d
    22 late
  7. Fiji
    100%
    2d
    22 late
  8. Hong Kong S.A.R.
    0%
    20 late
  9. Indonesia
    0%
    10 late
  10. Hungary
    0%
    10 late
  11. Malaysia
    100%
    4d
    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 →