Transit times / General Motors Do Brasil Ltda

General Motors Do Brasil Ltda

86 ocean import shipments. Delayed 22.9 points less often than the dataset average of 43.8%.

86
Shipments
20.9%
Arrived late
18 shipments
2 days
Average delay, when late
median 2 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.

2
2.3%
Early
66
76.7%
On time
18
20.9%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    0%
    550 late
  2. Hapag Lloyd
    59.3%
    2d
    2716 late
  3. DSVF
    50%
    2d
    42 late

By route

All 2 lanes.

% delayed avg days late, when laten = shipments
  1. Puerto Madero > Houston, Texas
    23.1%
    2d
    5212 late
  2. Veracruz > Houston, Texas
    17.6%
    2d
    346 late

By supplier

Top 12 of 22 suppliers; 11 shipments across the remaining 10 not shown.

% delayed avg days late, when laten = shipments
  1. Dsv Air A Sea Sa De Cv
    0%
    210 late
  2. Ksr Internacional S De R L De C
    0%
    110 late
  3. Automotive Bend De Mexico S De R L
    33.3%
    2d
    62 late
  4. Coavis Mexico S A De C V
    66.7%
    2d
    64 late
  5. Stant Manufactura De Mexico
    60%
    2d
    53 late
  6. Akwel Mexico S A De C V
    60%
    2d
    53 late
  7. Inteva Mexico S De R L De C V
    0%
    50 late
  8. Robert Bosch S De Rl De Cv
    50%
    2d
    42 late
  9. Plastic Omnium Auto Industrial S De
    0%
    40 late
  10. Henniges Automotive Mexico Torreon
    66.7%
    2d
    32 late
  11. Stant Mexico Sa De Cv
    0%
    30 late
  12. Borgwarner
    0%
    20 late

By vessel

Vessel names are in the most recent data only — 83 of 86 shipments (97%) name one, across 4 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Maersk Pangani
    0%
    260 late
  2. Maersk Rubicon
    0%
    240 late
  3. Dalian Express
    100%
    2d
    1818 late
  4. Le Havre Express
    0%
    150 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=26
2026-07-29
100%
n=18
2026-07-30
0%
n=15
2026-08-04
0%
n=27
2026-08-05

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
    20.9%
    2d
    8618 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. Mexico
    22.2%
    2d
    8118 late
  2. Spain
    0%
    50 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 →