Transit times / Michelin North America Inc

Michelin North America Inc

248 ocean import shipments. Delayed 26.4 points more often than the dataset average of 43.8%.

248
Shipments
70.2%
Arrived late
174 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.

22
8.9%
Early
52
21%
On time
115
46.4%
1–3 days
28
11.3%
4–7 days
28
11.3%
8–14 days
3
1.2%
15+ days

By carrier

Top 12 of 24 carriers; 16 shipments across the remaining 12 not shown.

% delayed avg days late, when laten = shipments
  1. CMA CGM
    98.1%
    3.3d
    5352 late
  2. MSC
    90.6%
    4.1d
    5348 late
  3. Maersk
    55.8%
    1.5d
    4324 late
  4. Hapag Lloyd
    20.5%
    3.4d
    398 late
  5. ONE
    85.7%
    1.2d
    1412 late
  6. Evergreen
    25%
    2d
    82 late
  7. BLME
    85.7%
    5.8d
    76 late
  8. CTLT
    80%
    8.5d
    54 late
  9. HMM
    0%
    30 late
  10. PYMN
    100%
    6d
    33 late
  11. CUOL
    100%
    4d
    22 late
  12. Shipco Transport
    100%
    11d
    22 late

By route

Top 12 of 60 lanes; 127 shipments across the remaining 48 not shown.

% delayed avg days late, when laten = shipments
  1. Singapore > Charleston, S.C.
    100%
    4.8d
    1818 late
  2. Vung Tau > Charleston, S.C.
    100%
    2.6d
    1616 late
  3. Rio De Janeiro > Charleston, S.C.
    0%
    140 late
  4. Freeport, Grand Bahama Island > Charleston, S.C.
    100%
    1.4d
    1010 late
  5. Rotterdam > Charleston, S.C.
    90%
    3.9d
    109 late
  6. Tangier > Charleston, S.C.
    0%
    90 late
  7. Valencia > Charleston, S.C.
    100%
    3d
    88 late
  8. Singapore > Norfolk, Va.
    100%
    3.5d
    88 late
  9. Bremerhaven > Charleston, S.C.
    85.7%
    9d
    76 late
  10. Le Havre > Charleston, S.C.
    100%
    7.1d
    77 late
  11. Le Havre > Newark, Nj
    42.9%
    12d
    73 late
  12. Valencia > Savannah, Ga.
    71.4%
    2.4d
    75 late

By supplier

Top 12 of 86 suppliers; 122 shipments across the remaining 74 not shown.

% delayed avg days late, when laten = shipments
  1. Pt Multistrada Arah Sarana
    85.3%
    3.9d
    3429 late
  2. Sri Trang Agro Industrial Public
    88.9%
    1.9d
    1816 late
  3. Michelin Siam Co Ltd
    58.3%
    2.3d
    127 late
  4. Saph
    50%
    2.2d
    105 late
  5. Sociedade Michelin De Particip
    0%
    100 late
  6. Michelin Polska Sp Z O O
    55.6%
    1d
    95 late
  7. Michelin Espana Portugal S A
    71.4%
    2.8d
    75 late
  8. Michelin Espana Portugal
    66.7%
    2d
    64 late
  9. Thaimac Str Co Ltd
    80%
    4d
    54 late
  10. S P A Michelin Italiana
    40%
    7d
    52 late
  11. Manufacture Francaise
    80%
    7.3d
    54 late
  12. Michelin Romania S A
    80%
    8.5d
    54 late

By vessel

Vessel names are in the most recent data only — 248 of 248 shipments (100%) name one, across 56 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Cma Cgm J. Madison
    93.8%
    3.3d
    1615 late
  2. Oocl Chongqing
    93.8%
    8.1d
    1615 late
  3. Cma Cgm J. Adams
    100%
    1.6d
    1414 late
  4. Hmm Peridot
    90.9%
    1d
    1110 late
  5. Msc Candice
    100%
    2.8d
    1111 late
  6. Ever Mega
    100%
    8.2d
    1111 late
  7. Al Safat
    100%
    1d
    1010 late
  8. Apl Sentosa
    100%
    1.8d
    1010 late
  9. Maersk Luz
    100%
    1.6d
    99 late
  10. Gsl Nicoletta
    0%
    80 late
  11. Maersk Freeport
    0%
    80 late
  12. Zim Mount Fuji
    100%
    9.1d
    88 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.

20%
n=10
2026-07-27
76.5%
n=17
2026-07-28
66.7%
n=12
2026-07-29
81.3%
n=16
2026-07-30
90.5%
n=21
2026-07-31
93.8%
n=16
2026-08-01
75%
n=4
2026-08-02
93.3%
n=15
2026-08-03
60%
n=10
2026-08-04
81.5%
n=27
2026-08-05
44.4%
n=9
2026-08-06
90%
n=10
2026-08-07
86.7%
n=15
2026-08-08
10.5%
n=19
2026-08-09
75.7%
n=37
2026-08-10
30%
n=10
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. Charleston, S.C.
    71.4%
    3.9d
    154110 late
  2. Norfolk, Va.
    82.8%
    4.1d
    2924 late
  3. Savannah, Ga.
    63.6%
    1.9d
    2214 late
  4. Newark, Nj
    53.3%
    6.6d
    158 late
  5. Long Beach, Ca
    81.8%
    3.4d
    119 late
  6. Los Angeles, Ca
    100%
    2.8d
    66 late
  7. New Orleans, La.
    0%
    40 late
  8. Houston, Texas
    0%
    30 late
  9. Tampa, Fla.
    100%
    1d
    22 late
  10. Tacoma, Wa
    100%
    3d
    11 late
  11. Jacksonville, Fla.
    0%
    10 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. Thailand
    79.3%
    3d
    5846 late
  2. Indonesia
    82.8%
    3.5d
    5848 late
  3. France
    90.5%
    5.8d
    2119 late
  4. Brazil
    0%
    190 late
  5. Germany
    76.5%
    6.6d
    1713 late
  6. Ivory Coast
    40%
    2.3d
    156 late
  7. Spain
    85.7%
    3d
    1412 late
  8. Poland
    61.5%
    3.4d
    138 late
  9. Italy
    42.9%
    5.7d
    73 late
  10. China
    50%
    4d
    63 late
  11. Netherlands
    80%
    2.5d
    54 late
  12. Singapore
    75%
    4d
    43 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 →