Transit times / Old Navy Llc

Old Navy Llc

2,964 ocean import shipments. Delayed 19.3 points less often than the dataset average of 43.8%.

2,964
Shipments
24.5%
Arrived late
726 shipments
2.9 days
Average delay, when late
median 2 days
16 days
Worst single delay

Live tracking

742 of this company’s 2,964 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.

30.4 days
Median transit
603 shipments · 16–20674d · mean 202.1
89.2%
Transshipped
662 of 742 called at a hub
3.7 days
Median dwell at hub
523 shipments · longest 18d

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. Vung Tau > Los Angeles, Ca
    29.7d
    246mean 448.4d
  2. Singapore > Los Angeles, Ca
    35.6d
    186mean 33.6d
  3. Hai Phong > Los Angeles, Ca
    16d
    80mean 16.3d
  4. Singapore > Newark, Nj
    45.9d
    70mean 46.4d
  5. Mina Raysut > Newark, Nj
    32.8d
    19mean 33.5d

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. SINGAPORE, SINGAPORE
    4.9d
    256mean 4.8d
  2. CAI MEP, VIETNAM
    2.6d
    246mean 2.5d
  3. SALALAH, OMAN — SALALAH TERMINAL
    8.4d
    19mean 8.1d

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.

1,566
52.8%
Early
672
22.7%
On time
584
19.7%
1–3 days
100
3.4%
4–7 days
16
0.5%
8–14 days
26
0.9%
15+ days

By carrier

All 7 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    16.7%
    1.3d
    1,977331 late
  2. ONE
    24.1%
    1.5d
    582140 late
  3. HMM
    87.1%
    2.9d
    139121 late
  4. SM Line
    0%
    1180 late
  5. CMA CGM
    100%
    6.8d
    105105 late
  6. Expeditors International
    100%
    15d
    2626 late
  7. SCLI
    17.6%
    1d
    173 late

By route

Top 12 of 20 lanes; 46 shipments across the remaining 8 not shown.

% delayed avg days late, when laten = shipments
  1. Yangshan > Long Beach, Ca
    0%
    1,3050 late
  2. Mina Raysut > Newark, Nj
    69.3%
    1d
    358248 late
  3. Singapore > Los Angeles, Ca
    39.4%
    2.9d
    307121 late
  4. Vung Tau > Los Angeles, Ca
    28.5%
    1d
    24670 late
  5. Colombo Harbor > Newark, Nj
    0%
    2310 late
  6. Santo Tomas De Castilla > Miami, Florida
    0%
    1090 late
  7. Yangshan > Los Angeles, Ca
    100%
    2d
    8282 late
  8. Hai Phong > Los Angeles, Ca
    0%
    800 late
  9. Jawaharlal Nehru > New York, N.Y.
    100%
    7d
    7777 late
  10. Singapore > Newark, Nj
    100%
    2d
    7070 late
  11. Colombo Harbor > New York, N.Y.
    100%
    6.1d
    2828 late
  12. Istanbul > Newark, Nj
    100%
    15d
    2525 late

By supplier

Top 12 of 144 suppliers; 1,234 shipments across the remaining 132 not shown.

% delayed avg days late, when laten = shipments
  1. Refat Garments Ltd
    4.5%
    2d
    39618 late
  2. Ayesha Clothing Co Ltd
    0%
    3760 late
  3. Sq Celsius Limited
    8.2%
    2d
    13411 late
  4. Ayesha Clothing Co Limited
    18.3%
    2d
    12623 late
  5. Soorty Enterprises Pvt Ltd
    82.4%
    1d
    125103 late
  6. Standard Stitches Ltd Woven Unit
    6.7%
    2d
    1057 late
  7. Nishat Mills Ltd
    66%
    1d
    10368 late
  8. Ananta Apparels Ltd
    4.5%
    2d
    884 late
  9. Crown Wears Pvt Limited
    1.3%
    2d
    761 late
  10. Denimach Limited
    9.9%
    2d
    717 late
  11. Artistic Milliners Pvt Ltd
    53%
    1d
    6635 late
  12. Artistic Garments Ind Agi Denim
    65.6%
    1d
    6442 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.

76.3%
n=215
2026-07-29
0%
n=93
2026-07-30
100%
n=1
2026-07-31
0%
n=1305
2026-08-01
33.7%
n=208
2026-08-02
0%
n=7
2026-08-03
41.3%
n=254
2026-08-04
97.7%
n=260
2026-08-05
100%
n=2
2026-08-06
45.5%
n=191
2026-08-07
11.9%
n=134
2026-08-08
0%
n=191
2026-08-09
1.7%
n=60
2026-08-11
60.5%
n=43
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. Long Beach, Ca
    0%
    1,3230 late
  2. Los Angeles, Ca
    38.2%
    2.2d
    715273 late
  3. Newark, Nj
    50.1%
    2.2d
    684343 late
  4. Miami, Florida
    1.6%
    1d
    1252 late
  5. New York, N.Y.
    100%
    6.8d
    106106 late
  6. Pt. Everglades, Florida
    10%
    1d
    101 late
  7. Tacoma, Wa
    100%
    3d
    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. Bangladesh
    5.1%
    2d
    1,61983 late
  2. Pakistan
    69.3%
    1d
    358248 late
  3. Indonesia
    35.7%
    2.2d
    291104 late
  4. Cambodia
    35.7%
    1d
    19670 late
  5. Vietnam
    0.8%
    3d
    1311 late
  6. Guatemala
    1%
    1d
    1051 late
  7. Singapore
    83.7%
    3d
    10487 late
  8. India
    100%
    7d
    7777 late
  9. Sri Lanka
    100%
    6.3d
    2727 late
  10. Jordan
    100%
    15d
    2626 late
  11. El Salvador
    0%
    120 late
  12. Honduras
    22.2%
    1d
    92 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 →