Transit times / Home Depot Usa Inc

Home Depot Usa Inc

3,141 ocean import shipments. Delayed 4.9 points more often than the dataset average of 43.8%.

3,141
Shipments
48.7%
Arrived late
1,530 shipments
3.5 days
Average delay, when late
median 2 days
15 days
Worst single delay

Live tracking

2,331 of this company’s 3,141 references have been tracked against the carriers themselves. Transit and dwell come from that subset — they are measured from carrier milestones, not from the manifest, which knows only the arrival.

36 days
Median transit
2116 shipments · -9–78.2d · mean 36.3
42.6%
Transshipped
994 of 2331 called at a hub
6 days
Median dwell at hub
950 shipments · longest 25.5d

Transit time by route

Actual departure to actual arrival, from the carrier's own milestones. Lanes with fewer than three tracked shipments are left out.

medianmean shown beside it · n = shipments
  1. Yantian > Savannah, Ga.
    31d
    183mean 35.7d
  2. Vung Tau > Savannah, Ga.
    48d
    131mean 46.1d
  3. Yantian > Newark, Nj
    35d
    107mean 39.1d
  4. Vung Tau > Los Angeles, Ca
    25.3d
    90mean 25.3d
  5. Vung Tau > Newark, Nj
    45.2d
    87mean 40.4d
  6. Yantian > Houston, Texas
    32.4d
    81mean 31.2d
  7. Yantian > Los Angeles, Ca
    16d
    75mean 17.8d
  8. Singapore > Newark, Nj
    43.8d
    50mean 29.3d
  9. Laem Chabang > Long Beach, Ca
    29.3d
    50mean 28.7d
  10. Laem Chabang > Los Angeles, Ca
    30d
    49mean 29.3d
  11. Ning Bo > Los Angeles, Ca
    15.5d
    48mean 15.8d
  12. Kaohsiung > Los Angeles, Ca
    33d
    44mean 31.4d

Dwell at transshipment hubs

Days between arriving at an intermediate port and leaving it, counted only where the carrier published both as actuals. Where a shipment called at several hubs its dwell is divided evenly between them rather than attributed to one.

medianmean shown beside it · n = shipments
  1. KAOHSIUNG (TW)
    6d
    157mean 6d
  2. SINGAPORE, SINGAPORE
    7.4d
    110mean 7.2d
  3. SINGAPORE
    6.3d
    108mean 8.7d
  4. CAI MEP, VIETNAM
    2.7d
    103mean 3.7d
  5. PUSAN, REPUBLIC OF KOREA
    7.7d
    88mean 8.4d
  6. VUNG TAU
    3.6d
    87mean 4d
  7. YANTIAN
    7.4d
    61mean 8.3d
  8. YANTIAN, CN
    7d
    59mean 7.6d
  9. YANTIAN, CHINA (CN)
    8d
    44mean 7.8d
  10. SHANGHAI
    4.1d
    34mean 4d
  11. HONG KONG (HK)
    8d
    28mean 7.1d
  12. VUNG TAU, VN
    6d
    28mean 5.5d

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.

189
6%
Early
1,422
45.3%
On time
970
30.9%
1–3 days
319
10.2%
4–7 days
239
7.6%
8–14 days
2
0.1%
15+ days

By carrier

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

% delayed avg days late, when laten = shipments
  1. Evergreen
    22.7%
    1.1d
    972221 late
  2. CMA CGM
    81.7%
    4.5d
    793648 late
  3. ONE
    25.5%
    1.4d
    596152 late
  4. Hapag Lloyd
    57.8%
    4.9d
    377218 late
  5. HMM
    62%
    2.4d
    213132 late
  6. MSC
    90.7%
    3.9d
    150136 late
  7. COSCO
    78.3%
    4.7d
    2318 late
  8. Expeditors International
    42.9%
    5.7d
    73 late
  9. MZLY
    0%
    60 late
  10. DNYC
    0%
    10 late
  11. APLL
    100%
    7d
    11 late
  12. UNQL
    0%
    10 late

By route

Top 12 of 131 lanes; 1,720 shipments across the remaining 119 not shown.

% delayed avg days late, when laten = shipments
  1. Yantian > Savannah, Ga.
    20.8%
    5.1d
    23148 late
  2. Vung Tau > Savannah, Ga.
    45%
    4.1d
    16976 late
  3. Yantian > Newark, Nj
    43.6%
    1.9d
    16572 late
  4. Vung Tau > Newark, Nj
    80.6%
    2.6d
    129104 late
  5. Yantian > Los Angeles, Ca
    39.7%
    2d
    12148 late
  6. Vung Tau > Los Angeles, Ca
    13.2%
    4.2d
    11415 late
  7. Yantian > Houston, Texas
    30.4%
    1d
    9228 late
  8. Shanghai > Savannah, Ga.
    100%
    6d
    8585 late
  9. Yantian > Seattle, Wa
    100%
    1.8d
    8181 late
  10. Laem Chabang > Newark, Nj
    81%
    2.8d
    7964 late
  11. Shanghai > Long Beach, Ca
    97.5%
    6.3d
    7977 late
  12. Laem Chabang > Long Beach, Ca
    39.5%
    2.9d
    7630 late

By supplier

Top 12 of 255 suppliers; 1,536 shipments across the remaining 243 not shown.

% delayed avg days late, when laten = shipments
  1. Maersk Logistics Services China
    94.3%
    7.2d
    227214 late
  2. Maersk Logistics & Services China
    31.1%
    1.2d
    22570 late
  3. Polygroup Evergreen Limited
    37%
    1.7d
    20877 late
  4. Geelong Thailand Co Ltd
    50.9%
    4.3d
    16182 late
  5. Toshiba Consumer Products
    59.6%
    2.7d
    14687 late
  6. Yida New Material Thailand Co Ltd
    53.2%
    4.7d
    12667 late
  7. Pan Asian Creations Ltd
    44%
    2.7d
    12555 late
  8. Seasonal Visions International Ltd
    61%
    1.9d
    10564 late
  9. Toyo Electric Huizhou Co Ltd
    26.6%
    1.1d
    7921 late
  10. Holiday Design Cambodia Co Ltd
    43.6%
    3.2d
    7834 late
  11. Willis Electric Company
    35.9%
    2.3d
    6423 late
  12. Pt Karya Unggul Indonesia
    32.8%
    4.1d
    6120 late

By vessel

Vessel names are in the most recent data only — 3,018 of 3,141 shipments (96%) name one, across 118 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Ever Muse
    19.2%
    1d
    24046 late
  2. Taurus
    0%
    1680 late
  3. Ever Mild
    0%
    1450 late
  4. One Manchester
    83.5%
    2d
    9176 late
  5. Conti Cortesia
    24.1%
    1d
    8721 late
  6. Taipei Triumph
    100%
    1.7d
    8080 late
  7. Tempanos
    100%
    6.1d
    7979 late
  8. Ever Mercy
    0%
    770 late
  9. Ever Loyal
    0%
    700 late
  10. One Aquila
    8.6%
    4d
    706 late
  11. Cma Cgm Syracuse
    97.1%
    2d
    6866 late
  12. Oocl Tulip
    64.1%
    5.7d
    6441 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.

60.8%
n=250
2026-07-27
31.7%
n=322
2026-07-28
87.2%
n=117
2026-07-29
72.4%
n=145
2026-07-30
34.2%
n=117
2026-07-31
55.5%
n=357
2026-08-01
22.7%
n=119
2026-08-02
74.9%
n=187
2026-08-03
10.9%
n=267
2026-08-04
49%
n=98
2026-08-05
75.3%
n=150
2026-08-06
97.4%
n=152
2026-08-07
5.5%
n=146
2026-08-08
16.8%
n=101
2026-08-09
45.9%
n=290
2026-08-10
59%
n=200
2026-08-11
40.7%
n=123
2026-08-12

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. Savannah, Ga.
    46.3%
    4.7d
    776359 late
  2. Newark, Nj
    62.6%
    2.9d
    628393 late
  3. Los Angeles, Ca
    20%
    2.9d
    49699 late
  4. Houston, Texas
    39.5%
    1.8d
    304120 late
  5. Long Beach, Ca
    56.5%
    5.1d
    253143 late
  6. Tacoma, Wa
    52.8%
    1.6d
    216114 late
  7. Norfolk, Va.
    62.5%
    4.3d
    200125 late
  8. Seattle, Wa
    100%
    3.8d
    138138 late
  9. Oakland, Ca
    36.8%
    2.3d
    9535 late
  10. Baltimore, Md.
    3.3%
    2d
    301 late
  11. New York, N.Y.
    100%
    4.5d
    22 late
  12. Miami, Florida
    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
    49.6%
    3.4d
    1,268629 late
  2. Thailand
    57.5%
    3.9d
    642369 late
  3. Vietnam
    53.5%
    3.9d
    473253 late
  4. Cambodia
    39.4%
    2.9d
    297117 late
  5. Indonesia
    27.8%
    3.5d
    13337 late
  6. Taiwan
    25.4%
    2.1d
    11830 late
  7. Malaysia
    29.7%
    1.1d
    6419 late
  8. South Korea
    35.8%
    2.9d
    5319 late
  9. Germany
    85.7%
    5.7d
    2118 late
  10. Philippines
    30.8%
    1d
    134 late
  11. Norway
    91.7%
    1.9d
    1211 late
  12. India
    20%
    4d
    102 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 →