Transit times / Apex Logistics International Inc

Apex Logistics International Inc

176 ocean import shipments. Delayed 4.5 points more often than the dataset average of 43.8%.

176
Shipments
48.3%
Arrived late
85 shipments
1.9 days
Average delay, when late
median 1 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.

38
21.6%
Early
53
30.1%
On time
78
44.3%
1–3 days
1
0.6%
4–7 days
6
3.4%
8–14 days
0
0%
15+ days

By carrier

All 11 carriers used.

% delayed avg days late, when laten = shipments
  1. Zim
    60%
    1.1d
    7042 late
  2. MSC
    10.3%
    3d
    293 late
  3. ONE
    34.8%
    1.3d
    238 late
  4. Maersk
    43.8%
    1d
    167 late
  5. HMM
    100%
    5.5d
    1212 late
  6. CMA CGM
    27.3%
    1d
    113 late
  7. Hapag Lloyd
    100%
    1d
    55 late
  8. COSCO
    0%
    40 late
  9. Wan Hai Lines
    100%
    2d
    44 late
  10. Seth Shipping
    0%
    10 late
  11. Yang Ming
    100%
    5d
    11 late

By route

Top 12 of 22 lanes; 16 shipments across the remaining 10 not shown.

% delayed avg days late, when laten = shipments
  1. Ning Bo > Newark, Nj
    58.1%
    1d
    6236 late
  2. Hai Phong > Los Angeles, Ca
    52.4%
    1.6d
    2111 late
  3. Hai Phong > Long Beach, Ca
    0%
    170 late
  4. Mina Raysut > Newark, Nj
    43.8%
    1d
    167 late
  5. Vung Tau > Los Angeles, Ca
    40%
    1.3d
    104 late
  6. Yantian > Long Beach, Ca
    0%
    80 late
  7. Pusan > Newark, Nj
    100%
    2d
    66 late
  8. Ning Bo > Los Angeles, Ca
    0%
    50 late
  9. Pusan > Los Angeles, Ca
    60%
    9d
    53 late
  10. Colombo Harbor > Savannah, Ga.
    100%
    1d
    44 late
  11. Sines > Baltimore, Md.
    100%
    3d
    33 late
  12. Yantian > Los Angeles, Ca
    100%
    1d
    33 late

By supplier

Top 12 of 13 suppliers; 1 shipments across the remaining 1 not shown.

% delayed avg days late, when laten = shipments
  1. Sinpex Connection Logistics Ltd
    77.8%
    1.6d
    6349 late
  2. Sinpex Connection Logistics Limited
    14.3%
    1.3d
    497 late
  3. Sinpex Connection Logistics
    29.6%
    2d
    278 late
  4. Seagold Private Limited
    41.2%
    1d
    177 late
  5. Aps International Logistics
    40%
    1d
    52 late
  6. Apexglobal Forwarders India Private
    100%
    3d
    33 late
  7. A P S Logistics International
    100%
    1d
    33 late
  8. Pt Dartair Expressindo
    100%
    9d
    33 late
  9. Aps Logistics International Limited
    50%
    1d
    21 late
  10. Gia Linh Logistics Services Co
    0%
    10 late
  11. Shine International Transportation
    100%
    5d
    11 late
  12. Aps Logistics International Pvt
    0%
    10 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.

31%
n=87
2026-08-04
65.2%
n=89
2026-08-05

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
    58.3%
    1.1d
    8449 late
  2. Los Angeles, Ca
    47.9%
    2.5d
    4823 late
  3. Long Beach, Ca
    0%
    280 late
  4. Savannah, Ga.
    100%
    4d
    1010 late
  5. Baltimore, Md.
    100%
    3d
    33 late
  6. Norfolk, Va.
    0%
    30 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
    54.4%
    1.6d
    7943 late
  2. Vietnam
    29.8%
    1.6d
    4714 late
  3. Pakistan
    41.2%
    1d
    177 late
  4. South Korea
    77.8%
    2.1d
    97 late
  5. Grenada
    0%
    60 late
  6. Cambodia
    40%
    1d
    52 late
  7. Sri Lanka
    75%
    1d
    43 late
  8. Indonesia
    100%
    7.3d
    44 late
  9. India
    100%
    3d
    33 late
  10. Bangladesh
    100%
    1d
    11 late
  11. Taiwan
    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 →