Transit times / Pegasus Maritime Inc

Pegasus Maritime Inc

243 ocean import shipments. Delayed 2.3 points more often than the dataset average of 43.8%.

243
Shipments
46.1%
Arrived late
112 shipments
1.5 days
Average delay, when late
median 1 days
17 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
131
53.9%
On time
106
43.6%
1–3 days
3
1.2%
4–7 days
2
0.8%
8–14 days
1
0.4%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    44.1%
    1d
    229101 late
  2. COSCO
    75%
    5.7d
    43 late
  3. Wan Hai Lines
    100%
    5.8d
    44 late
  4. CMA CGM
    100%
    7d
    33 late
  5. Hapag Lloyd
    50%
    1d
    21 late
  6. MSC
    0%
    10 late

By route

Top 12 of 15 lanes; 3 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. Mina Raysut > Newark, Nj
    30%
    1d
    7021 late
  2. Jawaharlal Nehru > Newark, Nj
    52.9%
    1d
    6836 late
  3. Mundra > Newark, Nj
    49%
    1d
    4924 late
  4. Mumbai > Newark, Nj
    47.6%
    1d
    4220 late
  5. Colombo Harbor > New York, N.Y.
    100%
    7d
    33 late
  6. Shekou > Los Angeles, Ca
    100%
    2d
    22 late
  7. Mundra > New York, N.Y.
    100%
    8d
    11 late
  8. Rio De Janeiro > Houston, Texas
    0%
    10 late
  9. Jawaharlal Nehru > New York, N.Y.
    100%
    8d
    11 late
  10. Puerto Libertador > Los Angeles, Ca
    100%
    1d
    11 late
  11. Vung Tau > Los Angeles, Ca
    0%
    10 late
  12. Vung Tau > Miami, Florida
    100%
    1d
    11 late

By supplier

Top 12 of 15 suppliers; 3 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. Noble Shipping Pvt Ltd
    51.1%
    1.4d
    17489 late
  2. Pegasus Shipping And Maritime Pakis
    28.3%
    1d
    5315 late
  3. Rs Logistics Limited
    50%
    1d
    21 late
  4. United King Foods Pvt Limited
    0%
    20 late
  5. Mlco International Trade
    0%
    20 late
  6. Allog Itajai
    0%
    10 late
  7. Ventum Logistics Sac
    100%
    1d
    11 late
  8. Ruca Logistics S A
    0%
    10 late
  9. Hayat Industries Pvt Ltd
    100%
    1d
    11 late
  10. Bon Voyage Logistics Inc
    100%
    2d
    11 late
  11. Crown Textile
    100%
    1d
    11 late
  12. Guard Agricultural Research And Ser
    100%
    1d
    11 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.

1.5%
n=132
2026-08-04
99.1%
n=111
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. Newark, Nj
    43.9%
    1d
    230101 late
  2. Los Angeles, Ca
    83.3%
    4.8d
    65 late
  3. New York, N.Y.
    100%
    7.4d
    55 late
  4. Houston, Texas
    0%
    10 late
  5. Miami, Florida
    100%
    1d
    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. India
    50.9%
    1.4d
    17388 late
  2. Pakistan
    29.5%
    1d
    6118 late
  3. Vietnam
    50%
    1d
    21 late
  4. China
    100%
    9.5d
    22 late
  5. Brazil
    0%
    10 late
  6. Peru
    100%
    1d
    11 late
  7. Argentina
    0%
    10 late
  8. Taiwan
    100%
    2d
    11 late
  9. Oman
    100%
    1d
    11 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 →