Transit times / Old Navy Canada Inc

Old Navy Canada Inc

560 ocean import shipments. Delayed 10.2 points less often than the dataset average of 43.8%.

560
Shipments
33.6%
Arrived late
188 shipments
2.3 days
Average delay, when late
median 1 days
5 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.

39
7%
Early
333
59.5%
On time
143
25.5%
1–3 days
45
8%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 5 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    30.5%
    1.5d
    416127 late
  2. HMM
    100%
    4.1d
    5959 late
  3. ONE
    0%
    470 late
  4. SM Line
    0%
    290 late
  5. SCLI
    22.2%
    1d
    92 late

By route

Top 12 of 16 lanes; 7 shipments across the remaining 4 not shown.

% delayed avg days late, when laten = shipments
  1. Colombo Harbor > Newark, Nj
    0%
    2010 late
  2. Mina Raysut > Newark, Nj
    78.2%
    1d
    7861 late
  3. Jawaharlal Nehru > Newark, Nj
    47.4%
    1d
    7837 late
  4. Pusan > Tacoma, Wa
    100%
    4.1d
    5959 late
  5. Vung Tau > Tacoma, Wa
    0%
    470 late
  6. Santo Tomas De Castilla > Miami, Florida
    0%
    260 late
  7. Ning Bo > Tacoma, Wa
    93.8%
    3d
    1615 late
  8. Yangshan > Tacoma, Wa
    100%
    3d
    1414 late
  9. Tanjung Pelepas > Newark, Nj
    0%
    130 late
  10. Vung Tau > Newark, Nj
    0%
    120 late
  11. Santo Tomas De Castilla > Pt. Everglades, Florida
    20%
    1d
    51 late
  12. Tangier > Newark, Nj
    0%
    40 late

By supplier

Top 12 of 122 suppliers; 310 shipments across the remaining 110 not shown.

% delayed avg days late, when laten = shipments
  1. Refat Garments Ltd
    0%
    560 late
  2. Ayesha Clothing Co Limited
    0%
    370 late
  3. Nishat Mills Ltd
    78.1%
    1d
    3225 late
  4. Soorty Enterprises Pvt Ltd
    89.3%
    1d
    2825 late
  5. Gokaldas Export Ltd
    57.9%
    1d
    1911 late
  6. Ananta Apparels Ltd
    0%
    170 late
  7. Sq Celsius Limited
    0%
    140 late
  8. Standard Stitches Ltd Woven Unit
    0%
    110 late
  9. Artistic Milliners Pvt Ltd
    60%
    1d
    106 late
  10. Pt Wooshin Garment Indonesia
    77.8%
    5d
    97 late
  11. Nyan Kids Cambodia Ltd
    0%
    90 late
  12. Pee Empro Export Private Limited
    37.5%
    1d
    83 late

By vessel

Vessel names are in the most recent data only — 560 of 560 shipments (100%) name one, across 19 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Madrid Express
    0%
    1300 late
  2. Ain Snan Express
    0%
    960 late
  3. One Sprinter
    70.2%
    4.1d
    8459 late
  4. Good Prospect
    100%
    1d
    5555 late
  5. Maersk Denver
    100%
    1d
    4343 late
  6. Maersk Seletar
    0%
    390 late
  7. Budapest Express
    100%
    3d
    2929 late
  8. One Millau
    0%
    220 late
  9. Seroja Lima
    0%
    190 late
  10. Seaboard Blue
    0%
    140 late
  11. Seaboard Saturn
    0%
    100 late
  12. Storm
    20%
    1d
    51 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.

69.4%
n=85
2026-07-27
82.1%
n=67
2026-07-29
0%
n=2
2026-07-30
100%
n=29
2026-07-31
0%
n=6
2026-08-02
0%
n=26
2026-08-03
0%
n=19
2026-08-04
95.6%
n=45
2026-08-05
100%
n=1
2026-08-06
0%
n=96
2026-08-07
0%
n=144
2026-08-09
2.5%
n=40
2026-08-11

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. Newark, Nj
    25.4%
    1d
    38698 late
  2. Tacoma, Wa
    64.7%
    3.7d
    13688 late
  3. Miami, Florida
    3.2%
    1d
    311 late
  4. Pt. Everglades, Florida
    14.3%
    1d
    71 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
    0%
    1830 late
  2. India
    43%
    1d
    8637 late
  3. Pakistan
    78.2%
    1d
    7861 late
  4. Cambodia
    0%
    490 late
  5. Vietnam
    71.8%
    3d
    3928 late
  6. South Korea
    100%
    4d
    3939 late
  7. Indonesia
    62.5%
    4.2d
    3220 late
  8. Guatemala
    3.7%
    1d
    271 late
  9. Sri Lanka
    0%
    100 late
  10. Morocco
    0%
    40 late
  11. Honduras
    25%
    1d
    41 late
  12. El Salvador
    0%
    40 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 →