Transit times / Hoyer Global Usa Inc

Hoyer Global Usa Inc

54 ocean import shipments. Delayed 30.3 points more often than the dataset average of 43.8%.

54
Shipments
74.1%
Arrived late
40 shipments
1 days
Average delay, when late
median 1 days
1 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
14
25.9%
On time
40
74.1%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. CMA CGM
    100%
    1d
    3434 late
  2. Maersk
    26.7%
    1d
    154 late
  3. Zim
    100%
    1d
    22 late
  4. Hapag Lloyd
    0%
    10 late
  5. COSCO
    0%
    10 late
  6. ONE
    0%
    10 late

By route

All 9 lanes.

% delayed avg days late, when laten = shipments
  1. Rotterdam > New Orleans, La.
    97.1%
    1d
    3534 late
  2. Jawaharlal Nehru > Newark, Nj
    44.4%
    1d
    94 late
  3. Ning Bo > Newark, Nj
    100%
    1d
    22 late
  4. Rotterdam > Philadelphia, Pa.
    0%
    20 late
  5. Pusan > Tacoma, Wa
    0%
    20 late
  6. Ning Bo > Houston, Texas
    0%
    10 late
  7. Pusan > Houston, Texas
    0%
    10 late
  8. Antwerp > Newark, Nj
    0%
    10 late
  9. Mundra > Newark, Nj
    0%
    10 late

By supplier

Top 12 of 13 suppliers; 1 shipments across the remaining 1 not shown.

% delayed avg days late, when laten = shipments
  1. Hoyer Global Transport B V
    100%
    1d
    3333 late
  2. Gac Shipping India Private Limite
    40%
    1d
    52 late
  3. Hoyer Global Transport Bv
    33.3%
    1d
    31 late
  4. Tatva Chintan Pharma Chem Ltd
    66.7%
    1d
    32 late
  5. Sea Tank Service Inc
    0%
    20 late
  6. Hoyer Global Singapore Pte Ltd
    0%
    10 late
  7. Ben Line Agencies H K Ltd
    100%
    1d
    11 late
  8. Ben Line Agencies H K Limited
    100%
    1d
    11 late
  9. Lanxess Deutschland Gmbh
    0%
    10 late
  10. Kc Logistics Co Ltd
    0%
    10 late
  11. Lanxess India Private Limited
    0%
    10 late
  12. Hoyer Global Transport B V On
    0%
    10 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.

81%
n=42
2026-08-04
50%
n=12
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. New Orleans, La.
    97.1%
    1d
    3534 late
  2. Newark, Nj
    46.2%
    1d
    136 late
  3. Houston, Texas
    0%
    20 late
  4. Philadelphia, Pa.
    0%
    20 late
  5. Tacoma, Wa
    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. Netherlands
    93.9%
    1d
    3331 late
  2. India
    40%
    1d
    104 late
  3. China
    0%
    30 late
  4. France
    100%
    1d
    33 late
  5. Taiwan
    100%
    1d
    22 late
  6. United Kingdom
    0%
    20 late
  7. South Korea
    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 →