Transit times / 5100 Com 10 Ikea Supply Ag

5100 Com 10 Ikea Supply Ag

59 ocean import shipments. Delayed 7 points more often than the dataset average of 43.8%.

59
Shipments
50.8%
Arrived late
30 shipments
2.5 days
Average delay, when late
median 2 days
9 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.

10
16.9%
Early
19
32.2%
On time
27
45.8%
1–3 days
0
0%
4–7 days
3
5.1%
8–14 days
0
0%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. HMM
    73.1%
    3.1d
    2619 late
  2. Hapag Lloyd
    29.4%
    2d
    175 late
  3. ONE
    37.5%
    1d
    166 late

By route

All 5 lanes.

% delayed avg days late, when laten = shipments
  1. Vung Tau > Los Angeles, Ca
    40%
    3.2d
    3012 late
  2. Hai Phong > Los Angeles, Ca
    54.5%
    1.5d
    2212 late
  3. Shanghai > Los Angeles, Ca
    100%
    2d
    55 late
  4. Pusan > Los Angeles, Ca
    100%
    9d
    11 late
  5. Shanghai > Long Beach, Ca
    0%
    10 late

By supplier

Top 12 of 34 suppliers; 22 shipments across the remaining 22 not shown.

% delayed avg days late, when laten = shipments
  1. Viet Nam Hang Lam Furniture Company
    0%
    50 late
  2. Ngoc Son Ha Nam Joint Stock Company
    50%
    1.5d
    42 late
  3. Do Go Hang Lam Viet Nam
    100%
    5.5d
    44 late
  4. Schenker Logistics Bangladesh
    100%
    2d
    44 late
  5. 76 One Member Limited Liability
    33.3%
    1d
    31 late
  6. Phong Phu Home Textile Joint Stock
    33.3%
    2d
    31 late
  7. Danu Vina Co Ltd 18937
    33.3%
    2d
    31 late
  8. Ngoc Son Handicraft And Furniture
    33.3%
    2d
    31 late
  9. Woodsland Joint Stock Company
    100%
    1.5d
    22 late
  10. Ngoc Son Br Co Ltd
    50%
    1d
    21 late
  11. Dong Nai Branch Of Taeyang Vina Co
    50%
    2d
    21 late
  12. Vietnam Zt Textile Co Ltd
    0%
    20 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=10
2026-07-30
0%
n=1
2026-08-01
0%
n=11
2026-08-02
100%
n=17
2026-08-04
100%
n=6
2026-08-05
100%
n=5
2026-08-07
100%
n=2
2026-08-08
0%
n=7
2026-08-09

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
    51.7%
    2.5d
    5830 late
  2. Long Beach, Ca
    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. Vietnam
    46.2%
    2.3d
    5224 late
  2. Norway
    100%
    2d
    44 late
  3. Bangladesh
    50%
    2d
    21 late
  4. South Korea
    100%
    9d
    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 →