Transit times / Sunny International Logistics Inc

Sunny International Logistics Inc

97 ocean import shipments. Delayed 33.5 points less often than the dataset average of 43.8%.

97
Shipments
10.3%
Arrived late
10 shipments
5.9 days
Average delay, when late
median 2 days
30 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
87
89.7%
On time
7
7.2%
1–3 days
0
0%
4–7 days
2
2.1%
8–14 days
1
1%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. Zim
    11.8%
    8.3d
    344 late
  2. CMA CGM
    0%
    300 late
  3. HEDE Shipping
    0%
    260 late
  4. Wan Hai Lines
    100%
    2d
    44 late
  5. HMM
    100%
    9d
    22 late
  6. Maersk
    0%
    10 late

By route

All 6 lanes.

% delayed avg days late, when laten = shipments
  1. Shanghai > Los Angeles, Ca
    3.8%
    9d
    522 late
  2. Ning Bo > Los Angeles, Ca
    0%
    360 late
  3. Shekou > Los Angeles, Ca
    100%
    2d
    44 late
  4. Ning Bo > Newark, Nj
    100%
    1d
    33 late
  5. Ning Bo > Seattle, Wa
    100%
    30d
    11 late
  6. Pusan > Tacoma, Wa
    0%
    10 late

By supplier

All 9 suppliers.

% delayed avg days late, when laten = shipments
  1. Sinotrans Limited
    0%
    260 late
  2. Sinotrans Zejiang Co Ltd Ngp Mz
    0%
    240 late
  3. Sinotrans Zhejiang Co Ltd Yiwu
    0%
    160 late
  4. Zhejiang Newtrans Logistic Co
    0%
    140 late
  5. Sinotrans Zejiang Co Ltd Ngp Mz Br
    0%
    60 late
  6. Orient Star Transport
    100%
    8.3d
    44 late
  7. Patent International Logistics
    100%
    2d
    44 late
  8. Shanghai Shanghong Supply Chain Ma
    100%
    9d
    22 late
  9. Qingdao Haitailong International Lo
    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.

9.1%
n=33
2026-08-04
10.9%
n=64
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. Los Angeles, Ca
    6.5%
    4.3d
    926 late
  2. Newark, Nj
    100%
    1d
    33 late
  3. Seattle, Wa
    100%
    30d
    11 late
  4. Tacoma, Wa
    0%
    10 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. China
    10.3%
    5.9d
    9710 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 →