Transit times / Levi Strauss & Co

Levi Strauss & Co

664 ocean import shipments. Delayed 31.9 points less often than the dataset average of 43.8%.

Includes shipments filed under: Levi Strauss & Co · Levi Strauss Co

664
Shipments
11.9%
Arrived late
79 shipments
2 days
Average delay, when late
median 1 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.

95
14.3%
Early
490
73.8%
On time
66
9.9%
1–3 days
6
0.9%
4–7 days
6
0.9%
8–14 days
1
0.2%
15+ days

By carrier

All 10 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    10.6%
    1.1d
    63167 late
  2. MZLY
    57.1%
    3.3d
    74 late
  3. KFUN
    100%
    9d
    66 late
  4. CMA CGM
    0%
    50 late
  5. PUSJ
    0%
    40 late
  6. Hapag Lloyd
    0%
    30 late
  7. AWSL
    0%
    30 late
  8. ONE
    0%
    30 late
  9. SXCO
    100%
    4d
    11 late
  10. APXL
    100%
    15d
    11 late

By route

Top 12 of 16 lanes; 5 shipments across the remaining 4 not shown.

% delayed avg days late, when laten = shipments
  1. Colombo Harbor > Newark, Nj
    0.9%
    8.3d
    3493 late
  2. Yangshan > Long Beach, Ca
    0%
    810 late
  3. Mina Raysut > Newark, Nj
    52.5%
    1d
    6132 late
  4. Ning Bo > Los Angeles, Ca
    0%
    510 late
  5. Tangier > Newark, Nj
    0%
    480 late
  6. Algeciras > Newark, Nj
    88.9%
    1d
    3632 late
  7. Vung Tau > Los Angeles, Ca
    0%
    110 late
  8. Singapore > Los Angeles, Ca
    75%
    9d
    86 late
  9. Pusan > Los Angeles, Ca
    100%
    3.3d
    44 late
  10. Port Natal > Newark, Nj
    0%
    40 late
  11. Yantian > Los Angeles, Ca
    0%
    30 late
  12. Ning Bo > Long Beach, Ca
    0%
    30 late

By supplier

Top 12 of 55 suppliers; 162 shipments across the remaining 43 not shown.

% delayed avg days late, when laten = shipments
  1. Denimach Limited
    0%
    920 late
  2. Ananta Denim Technology Ltd
    2.8%
    5d
    722 late
  3. Refat Garments Ltd
    0%
    710 late
  4. Maersk Ls Egypt Free Zone
    30.8%
    1d
    6520 late
  5. Mbm Garments Ltd
    0%
    390 late
  6. Cutting Edge Industries Ltd
    0%
    380 late
  7. Dekko Garments Ltd
    0%
    310 late
  8. Denitex Ltd
    0%
    280 late
  9. Akhtar Textile Industries Pvt Ltd
    10%
    1d
    202 late
  10. Style Textile Pvt Ltd
    57.9%
    1d
    1911 late
  11. Damco Pakistan Pvt Ltd
    50%
    1d
    147 late
  12. Probridhi Apparels Ltd
    0%
    130 late

By vessel

Vessel names are in the most recent data only — 664 of 664 shipments (100%) name one, across 25 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Ain Snan Express
    0.7%
    5d
    2692 late
  2. Gerd Maersk
    0%
    810 late
  3. Madrid Express
    0%
    790 late
  4. Gsl Christen
    0%
    490 late
  5. Delaware Express
    0%
    430 late
  6. Leda Maersk
    100%
    1d
    3232 late
  7. Maersk Denver
    95%
    1d
    2019 late
  8. Seroja Lima
    0%
    190 late
  9. Good Prospect
    100%
    1d
    1414 late
  10. Maersk Kinloss
    37.5%
    4d
    83 late
  11. Seattle Bridge
    100%
    9d
    66 late
  12. Luna Maersk
    0%
    60 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.

16.7%
n=6
2026-07-27
0%
n=5
2026-07-28
100%
n=14
2026-07-29
37.5%
n=8
2026-07-30
0%
n=6
2026-07-31
0%
n=84
2026-08-01
10%
n=10
2026-08-02
23.1%
n=26
2026-08-04
95%
n=20
2026-08-05
0.7%
n=269
2026-08-07
91.4%
n=35
2026-08-08
0.6%
n=176
2026-08-09
0%
n=5
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. Newark, Nj
    13.5%
    1.3d
    50268 late
  2. Long Beach, Ca
    1.2%
    4d
    851 late
  3. Los Angeles, Ca
    13%
    6.7d
    7710 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
    0.4%
    5d
    4592 late
  2. Pakistan
    46.8%
    1d
    6229 late
  3. Morocco
    0%
    480 late
  4. Spain
    88.9%
    1d
    3632 late
  5. Cambodia
    40%
    9d
    156 late
  6. Vietnam
    0%
    110 late
  7. Sri Lanka
    14.3%
    15d
    71 late
  8. United Republic of Tanzania
    60%
    1d
    53 late
  9. Japan
    100%
    3.3d
    44 late
  10. Brazil
    0%
    40 late
  11. Hong Kong S.A.R.
    33.3%
    4d
    31 late
  12. Kenya
    0%
    30 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 →