Transit times / Academy Ltd

Academy Ltd

314 ocean import shipments. Delayed 13.2 points more often than the dataset average of 43.8%.

314
Shipments
57%
Arrived late
179 shipments
3.8 days
Average delay, when late
median 2 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.

39
12.4%
Early
96
30.6%
On time
107
34.1%
1–3 days
47
15%
4–7 days
21
6.7%
8–14 days
4
1.3%
15+ days

By carrier

All 8 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    45.8%
    1.4d
    15571 late
  2. CMA CGM
    71.1%
    4.4d
    11481 late
  3. EFLR
    70.6%
    9.7d
    3424 late
  4. SETF
    0%
    30 late
  5. MZLY
    0%
    30 late
  6. HMM
    100%
    1d
    22 late
  7. HCLE
    0%
    20 late
  8. Evergreen
    100%
    1d
    11 late

By route

Top 12 of 34 lanes; 51 shipments across the remaining 22 not shown.

% delayed avg days late, when laten = shipments
  1. Colombo Harbor > Savannah, Ga.
    30.4%
    2.9d
    7924 late
  2. All Other Viet Nam Ports > Savannah, Ga.
    67.7%
    3.8d
    3121 late
  3. Vung Tau > Savannah, Ga.
    85.2%
    3.6d
    2723 late
  4. Vung Tau > Houston, Texas
    40.7%
    2d
    2711 late
  5. Yantian > Houston, Texas
    57.1%
    6.8d
    2112 late
  6. Pusan > Houston, Texas
    71.4%
    1d
    1410 late
  7. Yangshan > Savannah, Ga.
    100%
    1.9d
    1414 late
  8. Ning Bo > Savannah, Ga.
    100%
    5.1d
    1313 late
  9. Singapore > Houston, Texas
    0%
    120 late
  10. Lazaro Cardenas > Savannah, Ga.
    100%
    1d
    1212 late
  11. Hai Phong > Savannah, Ga.
    100%
    10d
    77 late
  12. Xiamen > Houston, Texas
    100%
    6d
    66 late

By supplier

Top 12 of 61 suppliers; 84 shipments across the remaining 49 not shown.

% delayed avg days late, when laten = shipments
  1. Academy International Limited
    81.6%
    4.1d
    11493 late
  2. Hantang Yipin Leisure Products
    55.6%
    5.1d
    2715 late
  3. Epic Garments Manufacturing Co Ltd
    34.8%
    2.3d
    238 late
  4. Fashion Com Limited
    0%
    190 late
  5. Campex Bd Limited
    55.6%
    6d
    95 late
  6. Dragon Security Technology Company
    77.8%
    3.9d
    97 late
  7. Goleader Vietnam Recreation Limit
    83.3%
    1.2d
    65 late
  8. Campex Bd Ltd
    80%
    1d
    54 late
  9. Maersk Logistics And Services
    60%
    1d
    53 late
  10. Polymer Enterprise Limited
    80%
    6.5d
    54 late
  11. Mzm Cepz Limited
    25%
    1d
    41 late
  12. Maersk Logistics & Services Cambodi
    75%
    9.7d
    43 late

By vessel

Vessel names are in the most recent data only — 314 of 314 shipments (100%) name one, across 35 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Ulsan Express
    0%
    430 late
  2. Cma Cgm Rhone
    0%
    330 late
  3. Maersk Luz
    100%
    2d
    2525 late
  4. Cma Cgm Tancredi
    100%
    1d
    2323 late
  5. Maersk Singapore
    100%
    1d
    2222 late
  6. Leverkusen Express
    100%
    1d
    2020 late
  7. Umm Salal
    0%
    160 late
  8. Oocl Europe
    100%
    6d
    1515 late
  9. Maersk Lavras
    0%
    120 late
  10. Cma Cgm J. Madison
    100%
    5d
    1111 late
  11. Zim Mount Denali
    100%
    10d
    1010 late
  12. Hmm Peridot
    0%
    100 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.

27.3%
n=22
2026-07-27
100%
n=1
2026-07-28
66.7%
n=15
2026-07-30
65.8%
n=38
2026-08-01
100%
n=1
2026-08-02
100%
n=26
2026-08-03
100%
n=20
2026-08-04
6.3%
n=16
2026-08-05
96.2%
n=26
2026-08-06
100%
n=27
2026-08-07
50%
n=2
2026-08-08
60%
n=20
2026-08-09
20.8%
n=96
2026-08-10
100%
n=4
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. Savannah, Ga.
    63.8%
    3.8d
    207132 late
  2. Houston, Texas
    49%
    4.1d
    9647 late
  3. Los Angeles, Ca
    0%
    50 late
  4. Charleston, S.C.
    0%
    30 late
  5. Newark, Nj
    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. Vietnam
    68.8%
    4.2d
    9364 late
  2. Bangladesh
    27.6%
    2.9d
    8724 late
  3. China
    88.7%
    5d
    6255 late
  4. Cambodia
    66.7%
    2.2d
    3926 late
  5. Jordan
    0%
    60 late
  6. Sri Lanka
    20%
    2d
    51 late
  7. Brazil
    0%
    40 late
  8. Pakistan
    25%
    1d
    41 late
  9. Malaysia
    100%
    1d
    22 late
  10. Indonesia
    100%
    5d
    22 late
  11. Kenya
    100%
    1d
    22 late
  12. Germany
    0%
    20 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 →