Transit times / Caterpillar Inc

Caterpillar Inc

1,365 ocean import shipments. Delayed 8.7 points more often than the dataset average of 43.8%.

1,365
Shipments
52.5%
Arrived late
716 shipments
4.8 days
Average delay, when late
median 2 days
39 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.

152
11.1%
Early
497
36.4%
On time
476
34.9%
1–3 days
73
5.3%
4–7 days
73
5.3%
8–14 days
94
6.9%
15+ days

By carrier

Top 12 of 32 carriers; 159 shipments across the remaining 20 not shown.

% delayed avg days late, when laten = shipments
  1. Maersk
    22.3%
    1.6d
    20245 late
  2. ONE
    10.9%
    1.2d
    17519 late
  3. WLWH
    68.4%
    2.2d
    158108 late
  4. MSC
    69.1%
    2.6d
    13694 late
  5. ICL
    0%
    1030 late
  6. Hapag Lloyd
    68.7%
    2d
    9968 late
  7. TGFH
    98.8%
    2.4d
    8079 late
  8. Kuehne + Nagel
    95.1%
    15.7d
    6158 late
  9. DMAL
    90%
    9.6d
    6054 late
  10. PYMN
    44.9%
    3.1d
    4922 late
  11. CMA CGM
    88.1%
    7.4d
    4237 late
  12. Atlantic Container Line
    100%
    1.6d
    4141 late

By route

Top 12 of 148 lanes; 720 shipments across the remaining 136 not shown.

% delayed avg days late, when laten = shipments
  1. Shanghai > Los Angeles, Ca
    76.7%
    2.8d
    11689 late
  2. Shanghai > Tacoma, Wa
    100%
    3.2d
    8484 late
  3. Colombo Harbor > Newark, Nj
    9.5%
    1d
    747 late
  4. Pusan > Houston, Texas
    15.3%
    10.7d
    599 late
  5. Southampton > Wilmington, N.C.
    0%
    560 late
  6. Jawaharlal Nehru > Newark, Nj
    33.3%
    3.5d
    5117 late
  7. Shanghai > Houston, Texas
    77.3%
    9.5d
    4434 late
  8. Antwerp > Chester, Pa.
    0%
    420 late
  9. Genova > Newark, Nj
    62.5%
    2d
    3220 late
  10. Genova > Houston, Texas
    100%
    2.6d
    3030 late
  11. Kobe > Los Angeles, Ca
    3.4%
    3d
    291 late
  12. Shanghai > Charleston, S.C.
    42.9%
    2d
    2812 late

By supplier

Top 12 of 228 suppliers; 798 shipments across the remaining 216 not shown.

% delayed avg days late, when laten = shipments
  1. Caterpillar Japan Llc
    47.2%
    2.4d
    12760 late
  2. Caterpillar Sarl
    75.3%
    2.4d
    8967 late
  3. Caterpillar China Machinery Compo
    88.5%
    3.1d
    6154 late
  4. Caterpillar Uk Ltd
    43.1%
    7.1d
    5122 late
  5. Perkins Engines Co Ltd
    11.9%
    12d
    425 late
  6. Sankyu Inc
    2.5%
    3d
    401 late
  7. Xuzhou Globe Reach Heavy Machinery
    64.5%
    1.8d
    3120 late
  8. Caterpillar Peterlee Ltd
    67.9%
    1.4d
    2819 late
  9. Caterpillar Thailand Limited
    89.3%
    6.1d
    2825 late
  10. Asiatrak Tianjin Ltd
    95.8%
    3.6d
    2423 late
  11. Caterpillar China Machinery
    43.5%
    3.4d
    2310 late
  12. Bharat Forge Limited
    60.9%
    10.6d
    2314 late

By vessel

Vessel names are in the most recent data only — 1,365 of 1,365 shipments (100%) name one, across 174 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Conti Cortesia
    19.6%
    5.8d
    5611 late
  2. Budapest Express
    100%
    2d
    5252 late
  3. Independent Horizon
    0%
    490 late
  4. Independent Primero
    0%
    440 late
  5. Titania
    100%
    2.8d
    4242 late
  6. Ain Snan Express
    13.9%
    2d
    365 late
  7. Madrid Express
    0%
    360 late
  8. Zim Eagle
    100%
    1d
    3636 late
  9. Hoegh Seoul
    100%
    4.3d
    3232 late
  10. Fidelio
    0%
    270 late
  11. Agate
    100%
    1d
    2525 late
  12. Msc Kumsal
    92%
    11.3d
    2523 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.

44.1%
n=127
2026-07-27
63.9%
n=147
2026-07-28
75%
n=88
2026-07-29
89.1%
n=147
2026-07-30
8.8%
n=57
2026-07-31
49.2%
n=61
2026-08-01
80.5%
n=77
2026-08-02
27.9%
n=61
2026-08-03
55.4%
n=65
2026-08-04
56.3%
n=87
2026-08-05
65%
n=20
2026-08-06
30.1%
n=143
2026-08-07
70.9%
n=55
2026-08-08
3.7%
n=109
2026-08-09
55.4%
n=74
2026-08-10
63.8%
n=47
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. Houston, Texas
    58.7%
    8.9d
    225132 late
  2. Newark, Nj
    30.9%
    5.4d
    19159 late
  3. Los Angeles, Ca
    58.7%
    2.7d
    172101 late
  4. Tacoma, Wa
    76%
    2.9d
    146111 late
  5. Baltimore, Md.
    60.3%
    2.4d
    12676 late
  6. Brunswick, Ga.
    70.7%
    2.5d
    7553 late
  7. Long Beach, Ca
    53.7%
    6d
    6736 late
  8. Charleston, S.C.
    47.7%
    3.9d
    6531 late
  9. Wilmington, N.C.
    0%
    570 late
  10. Savannah, Ga.
    58.2%
    2.2d
    5532 late
  11. Chester, Pa.
    0%
    460 late
  12. Seattle, Wa
    100%
    7.8d
    3737 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
    75.4%
    4.3d
    439331 late
  2. United Kingdom
    40.7%
    5.3d
    16768 late
  3. Japan
    36.5%
    2.4d
    16761 late
  4. Switzerland
    76.1%
    2.5d
    8867 late
  5. India
    51.2%
    4.5d
    8644 late
  6. South Korea
    20.8%
    6.6d
    7716 late
  7. Sri Lanka
    0%
    700 late
  8. Belgium
    22.9%
    2.3d
    4811 late
  9. Italy
    46.2%
    4.2d
    3918 late
  10. France
    72%
    2.5d
    2518 late
  11. Germany
    50%
    7.6d
    2211 late
  12. Brazil
    85%
    14.2d
    2017 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 →