Transit times / Jbs Usa Import Inc

Jbs Usa Import Inc

117 ocean import shipments. Delayed 10 points more often than the dataset average of 43.8%.

117
Shipments
53.8%
Arrived late
63 shipments
2.5 days
Average delay, when late
median 2 days
8 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.

0
0%
Early
54
46.2%
On time
53
45.3%
1–3 days
4
3.4%
4–7 days
6
5.1%
8–14 days
0
0%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. Hapag Lloyd
    42.1%
    2d
    5724 late
  2. CMA CGM
    50%
    2.1d
    3015 late
  3. OOCL
    77.8%
    1.6d
    1814 late
  4. MFUS
    100%
    7.6d
    77 late
  5. ANLC
    33.3%
    1d
    31 late
  6. Zim
    100%
    2d
    22 late

By route

Top 12 of 17 lanes; 8 shipments across the remaining 5 not shown.

% delayed avg days late, when laten = shipments
  1. Brisbane > Philadelphia, Pa.
    100%
    3.8d
    1818 late
  2. Sao Paulo > Philadelphia, Pa.
    70.6%
    2d
    1712 late
  3. Port Itapoa > Philadelphia, Pa.
    27.3%
    2d
    113 late
  4. Kaohsiung > Long Beach, Ca
    100%
    1.5d
    1111 late
  5. Sao Paulo > Houston, Texas
    10%
    2d
    101 late
  6. Port Itapoa > Jacksonville, Fla.
    30%
    2d
    103 late
  7. Yarraville > Philadelphia, Pa.
    28.6%
    1d
    72 late
  8. Cartagena > Houston, Texas
    28.6%
    7d
    72 late
  9. Xiamen > Long Beach, Ca
    42.9%
    2d
    73 late
  10. Barao De Teffe > Houston, Texas
    80%
    2d
    54 late
  11. Tauranga > Oakland, Ca
    33.3%
    1d
    31 late
  12. Sao Paulo > Jacksonville, Fla.
    0%
    30 late

By supplier

All 7 suppliers.

% delayed avg days late, when laten = shipments
  1. Jbs S/A
    42.1%
    2d
    5724 late
  2. Jbs Australia Pty Limited
    67.9%
    2.8d
    5336 late
  3. Bilacor S A
    66.7%
    2d
    32 late
  4. Meatco Australia Pty Ltd
    0%
    10 late
  5. Hewitt Foods Pty Ltd
    100%
    8d
    11 late
  6. Frigorifico Gorina S A I C
    0%
    10 late
  7. Frigorifico Rioplatense
    0%
    10 late

By vessel

Vessel names are in the most recent data only — 117 of 117 shipments (100%) name one, across 22 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Maersk Freeport
    0%
    220 late
  2. Wieland
    100%
    2d
    1919 late
  3. Cma Cgm Louga
    100%
    2d
    1414 late
  4. Cma Cgm Rabelais
    0%
    90 late
  5. Le Havre Express
    0%
    60 late
  6. Cosco Shipping Panama
    100%
    1d
    66 late
  7. Dalian Express
    100%
    2d
    55 late
  8. Cosco Shipping Denali
    100%
    2d
    55 late
  9. Oluf Maersk
    0%
    40 late
  10. Marius
    100%
    8d
    44 late
  11. Oocl London
    0%
    40 late
  12. Box Endurance
    100%
    2d
    22 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.

100%
n=5
2026-07-27
20%
n=10
2026-07-28
100%
n=5
2026-07-30
100%
n=36
2026-08-01
100%
n=2
2026-08-02
0%
n=12
2026-08-04
17.6%
n=17
2026-08-06
0%
n=2
2026-08-07
100%
n=9
2026-08-08
0%
n=9
2026-08-09
10%
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. Philadelphia, Pa.
    63.8%
    2.8d
    5837 late
  2. Houston, Texas
    31.8%
    3.4d
    227 late
  3. Long Beach, Ca
    77.8%
    1.6d
    1814 late
  4. Jacksonville, Fla.
    23.1%
    2d
    133 late
  5. Oakland, Ca
    33.3%
    1d
    31 late
  6. Los Angeles, Ca
    0%
    20 late
  7. Pt. Everglades, Florida
    100%
    2d
    11 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
    42.1%
    2d
    5724 late
  2. Australia
    67.3%
    2.9d
    5537 late
  3. Uruguay
    66.7%
    2d
    32 late
  4. Argentina
    0%
    20 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 →