Transit times / Caterpillar Inc C O Superior Bond

Caterpillar Inc C O Superior Bond

129 ocean import shipments. Delayed 29.1 points less often than the dataset average of 43.8%.

129
Shipments
14.7%
Arrived late
19 shipments
1.4 days
Average delay, when late
median 1 days
2 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.

6
4.7%
Early
104
80.6%
On time
19
14.7%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 1 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    14.7%
    1.4d
    12919 late

By route

Top 12 of 19 lanes; 12 shipments across the remaining 7 not shown.

% delayed avg days late, when laten = shipments
  1. Colombo Harbor > Newark, Nj
    0%
    240 late
  2. Yangshan > Charleston, S.C.
    52.9%
    1d
    179 late
  3. Sao Paulo > Houston, Texas
    0%
    130 late
  4. Bremerhaven > Houston, Texas
    0%
    120 late
  5. Genova > Baltimore, Md.
    0%
    120 late
  6. Sao Paulo > Newark, Nj
    30%
    2d
    103 late
  7. Rotterdam > Houston, Texas
    0%
    70 late
  8. Jawaharlal Nehru > Newark, Nj
    40%
    1d
    52 late
  9. Genova > Newark, Nj
    0%
    50 late
  10. Antwerp > Houston, Texas
    0%
    50 late
  11. Yangshan > Los Angeles, Ca
    100%
    2d
    44 late
  12. Cartagena > Savannah, Ga.
    0%
    30 late

By supplier

Top 12 of 27 suppliers; 21 shipments across the remaining 15 not shown.

% delayed avg days late, when laten = shipments
  1. Caterpillar Brasil Ltda
    14.8%
    2d
    274 late
  2. Caterpillar Machinery Components Lt
    54.5%
    1.3d
    2212 late
  3. Caterpillar S A R
    0%
    170 late
  4. Caterpillar Prodotti Stradali Srl
    0%
    70 late
  5. Js Auto Cast Foundry India Private
    0%
    60 late
  6. Caterpillar Uk Limited
    0%
    60 late
  7. Fritz Winter Eisengiesserei Gmbh
    0%
    60 late
  8. Metal Forms Private Limited
    0%
    50 late
  9. Matchwell Engineering Pvt Ltd
    33.3%
    1d
    31 late
  10. Ceva Logistics India Pvt Ltd
    0%
    30 late
  11. Perkins Engines Co
    0%
    30 late
  12. Akp Foundries P Ltd
    0%
    30 late

By vessel

Vessel names are in the most recent data only — 129 of 129 shipments (100%) name one, across 25 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Maersk Kansas
    0%
    150 late
  2. Ain Snan Express
    0%
    150 late
  3. Gsl Nicoletta
    0%
    110 late
  4. Madrid Express
    0%
    90 late
  5. Maersk Luz
    100%
    1d
    99 late
  6. Maersk Iowa
    0%
    90 late
  7. Maersk Rubicon
    0%
    80 late
  8. Maersk Singapore
    0%
    80 late
  9. Maersk Memphis
    0%
    60 late
  10. Maersk Monte Azul
    0%
    50 late
  11. Maersk Pangani
    0%
    50 late
  12. Georg Maersk
    100%
    2d
    44 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.

0%
n=1
2026-07-27
16.7%
n=6
2026-07-29
60%
n=5
2026-07-30
0%
n=3
2026-07-31
0%
n=11
2026-08-01
0%
n=2
2026-08-02
100%
n=9
2026-08-03
0%
n=4
2026-08-04
11.1%
n=9
2026-08-05
50%
n=2
2026-08-06
12.5%
n=32
2026-08-07
0%
n=15
2026-08-08
0%
n=20
2026-08-09
0%
n=1
2026-08-10
0%
n=9
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
    11.4%
    1.6d
    445 late
  2. Houston, Texas
    0%
    370 late
  3. Charleston, S.C.
    45%
    1d
    209 late
  4. Baltimore, Md.
    0%
    120 late
  5. Savannah, Ga.
    0%
    50 late
  6. Los Angeles, Ca
    100%
    2d
    44 late
  7. Norfolk, Va.
    0%
    30 late
  8. Jacksonville, Fla.
    50%
    2d
    21 late
  9. Long Beach, Ca
    0%
    20 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. Brazil
    13.8%
    2d
    294 late
  2. China
    56.5%
    1.3d
    2313 late
  3. Italy
    0%
    210 late
  4. Sri Lanka
    0%
    180 late
  5. Germany
    0%
    140 late
  6. Netherlands
    0%
    70 late
  7. Norway
    0%
    60 late
  8. Belgium
    0%
    50 late
  9. Vietnam
    33.3%
    1d
    31 late
  10. India
    50%
    1d
    21 late
  11. United Kingdom
    0%
    10 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 →