Transit times / Hd Supply Facilities Maintenance Lt

Hd Supply Facilities Maintenance Lt

113 ocean import shipments. Delayed 12.8 points less often than the dataset average of 43.8%.

113
Shipments
31%
Arrived late
35 shipments
1.7 days
Average delay, when late
median 2 days
3 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.

16
14.2%
Early
62
54.9%
On time
35
31%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 1 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    31%
    1.7d
    11335 late

By route

Top 12 of 23 lanes; 22 shipments across the remaining 11 not shown.

% delayed avg days late, when laten = shipments
  1. Yantian > Houston, Texas
    0%
    110 late
  2. Tanjung Pelepas > Newark, Nj
    0%
    110 late
  3. Yangshan > Long Beach, Ca
    0%
    100 late
  4. Lazaro Cardenas > Savannah, Ga.
    100%
    1.3d
    99 late
  5. Laem Chabang > Los Angeles, Ca
    0%
    80 late
  6. Yantian > Los Angeles, Ca
    0%
    70 late
  7. Pusan > Newark, Nj
    0%
    60 late
  8. Pusan > Los Angeles, Ca
    0%
    60 late
  9. Ning Bo > Los Angeles, Ca
    0%
    60 late
  10. Ning Bo > Savannah, Ga.
    100%
    1.7d
    66 late
  11. Yangshan > Los Angeles, Ca
    100%
    2d
    66 late
  12. Dagu/Tanggu > Los Angeles, Ca
    100%
    2d
    55 late

By supplier

Top 12 of 28 suppliers; 21 shipments across the remaining 16 not shown.

% delayed avg days late, when laten = shipments
  1. Toshiba Consumer Products
    25%
    1.8d
    328 late
  2. Huida Sanitary Ware Co Ltd
    66.7%
    2d
    128 late
  3. Foshan Shunde Midea Washing Applian
    42.9%
    2d
    73 late
  4. Tangshan Monopy Ceramic Co Ltd He
    33.3%
    2d
    62 late
  5. Ningbo Grand Success Machinery Colt
    83.3%
    1.2d
    65 late
  6. Overseas Richest International
    0%
    60 late
  7. Guangdong Midea Kitchen Appliances
    0%
    50 late
  8. Foshan Nanhai Pinming Electrical
    0%
    40 late
  9. Pt Jaya Refrigeration Equipment
    75%
    1.3d
    43 late
  10. Wellsco Intl Group Co Ltd
    75%
    2d
    43 late
  11. Home Richfull Technology Thailand
    33.3%
    1d
    31 late
  12. Bassco Supply Co Ltd
    0%
    30 late

By vessel

Vessel names are in the most recent data only — 113 of 113 shipments (100%) name one, across 21 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Gerd Maersk
    14.3%
    2d
    142 late
  2. Maersk Lavras
    0%
    120 late
  3. Georg Maersk
    100%
    2d
    1111 late
  4. Maersk Singapore
    100%
    1d
    1010 late
  5. Maersk Antares
    0%
    80 late
  6. Maersk Altair
    0%
    70 late
  7. Maersk Luz
    100%
    2d
    77 late
  8. Madrid Express
    0%
    60 late
  9. Ain Snan Express
    0%
    60 late
  10. Colorado Express
    0%
    60 late
  11. Delaware Express
    0%
    50 late
  12. Santa Barbara
    0%
    30 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=4
2026-07-27
0%
n=1
2026-07-29
0%
n=1
2026-07-30
100%
n=2
2026-07-31
36.8%
n=19
2026-08-01
0%
n=14
2026-08-02
50%
n=6
2026-08-03
0%
n=15
2026-08-05
71.9%
n=32
2026-08-07
0%
n=18
2026-08-09
0%
n=1
2026-08-10

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
    28.9%
    2d
    3811 late
  2. Newark, Nj
    9.5%
    1d
    212 late
  3. Savannah, Ga.
    94.4%
    1.4d
    1817 late
  4. Long Beach, Ca
    0%
    150 late
  5. Houston, Texas
    0%
    120 late
  6. Tacoma, Wa
    0%
    30 late
  7. Oakland, Ca
    66.7%
    2d
    32 late
  8. Tampa, Fla.
    100%
    3d
    33 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
    33.3%
    1.8d
    6923 late
  2. Thailand
    25%
    1.7d
    369 late
  3. Indonesia
    75%
    1.3d
    43 late
  4. Taiwan
    0%
    30 late
  5. Norway
    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 →