Transit times / Spencer Gifts Llc

Spencer Gifts Llc

257 ocean import shipments. Delayed 32.5 points more often than the dataset average of 43.8%.

257
Shipments
76.3%
Arrived late
196 shipments
7.6 days
Average delay, when late
median 8 days
15 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.

14
5.4%
Early
47
18.3%
On time
51
19.8%
1–3 days
40
15.6%
4–7 days
86
33.5%
8–14 days
19
7.4%
15+ days

By carrier

All 7 carriers used.

% delayed avg days late, when laten = shipments
  1. KFUN
    87.4%
    7.5d
    10390 late
  2. CMA CGM
    82.3%
    9d
    9679 late
  3. ONE
    41.7%
    2.2d
    2410 late
  4. Evergreen
    33.3%
    1.5d
    124 late
  5. Zim
    0%
    80 late
  6. Honour Lane Logistics
    100%
    6.9d
    77 late
  7. APLL
    85.7%
    5.3d
    76 late

By route

Top 12 of 28 lanes; 37 shipments across the remaining 16 not shown.

% delayed avg days late, when laten = shipments
  1. Ning Bo > Newark, Nj
    92.3%
    8d
    5248 late
  2. Ning Bo > Savannah, Ga.
    100%
    9.3d
    3333 late
  3. Ning Bo > Long Beach, Ca
    96.8%
    7.1d
    3130 late
  4. Yantian > Savannah, Ga.
    15.8%
    8.7d
    193 late
  5. Ning Bo > Los Angeles, Ca
    35.3%
    10.2d
    176 late
  6. Yantian > Long Beach, Ca
    46.7%
    3.4d
    157 late
  7. Yantian > Newark, Nj
    60%
    2d
    159 late
  8. Shanghai > Savannah, Ga.
    100%
    6.9d
    99 late
  9. Pusan > Newark, Nj
    100%
    12.1d
    99 late
  10. Shanghai > Newark, Nj
    57.1%
    8d
    74 late
  11. Shanghai > Long Beach, Ca
    85.7%
    9d
    76 late
  12. Pusan > Savannah, Ga.
    100%
    7.2d
    66 late

By supplier

Top 12 of 79 suppliers; 111 shipments across the remaining 67 not shown.

% delayed avg days late, when laten = shipments
  1. Ningbo Good Partner Trade Co Ltd
    93.1%
    7.6d
    2927 late
  2. Apl Logistics On Behalf Of
    85.7%
    8.4d
    2824 late
  3. Partytime Costume And Lingerie
    92.3%
    9.8d
    1312 late
  4. Zhejiang Partytime Popular Culture
    100%
    9.7d
    1313 late
  5. Apl Logistics China Ltd O/B
    27.3%
    5.7d
    113 late
  6. Rayland Industrial Co Ltd
    30%
    2.7d
    103 late
  7. Tasia International Co Ltd
    62.5%
    5.6d
    85 late
  8. Jiatex Holding Co Ltd
    100%
    7.8d
    88 late
  9. Innotex Co Ltd
    71.4%
    10.2d
    75 late
  10. Holiday Times Unlimited Inc
    28.6%
    1d
    72 late
  11. Zhejiang Ardour Industrial & Tradin
    100%
    10.7d
    66 late
  12. Partytime Costume&Lingerie Yiwu Fac
    100%
    13.3d
    66 late

By vessel

Vessel names are in the most recent data only — 257 of 257 shipments (100%) name one, across 51 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Oocl France
    100%
    11.9d
    3232 late
  2. Ym Tiptop
    100%
    9.7d
    2525 late
  3. Cosco Portugal
    100%
    8d
    2525 late
  4. Cosco Shipping Orchid
    100%
    7.3d
    1717 late
  5. Hmm Aquamarine
    16.7%
    2d
    122 late
  6. Msc Mumbai Viii
    100%
    2.1d
    1010 late
  7. Oocl Tulip
    100%
    7.3d
    1010 late
  8. Ever Muse
    22.2%
    1d
    92 late
  9. Ever Fast
    87.5%
    5d
    87 late
  10. Jade I
    100%
    5.1d
    77 late
  11. Cma Cgm Virginia
    0%
    70 late
  12. Sm Busan
    100%
    9d
    66 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.

69.6%
n=23
2026-07-27
58.3%
n=24
2026-07-28
100%
n=39
2026-07-29
95.8%
n=24
2026-07-30
100%
n=4
2026-07-31
80%
n=10
2026-08-01
100%
n=7
2026-08-02
100%
n=12
2026-08-03
40.9%
n=22
2026-08-04
97.1%
n=34
2026-08-05
36.8%
n=19
2026-08-06
83.3%
n=12
2026-08-07
50%
n=6
2026-08-08
66.7%
n=6
2026-08-09
36.4%
n=11
2026-08-10
75%
n=4
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
    84.5%
    7.9d
    8471 late
  2. Savannah, Ga.
    77%
    8.4d
    7457 late
  3. Long Beach, Ca
    80.6%
    6.2d
    6250 late
  4. Los Angeles, Ca
    38.7%
    7.1d
    3112 late
  5. Tacoma, Wa
    100%
    12d
    44 late
  6. New York, N.Y.
    100%
    7d
    11 late
  7. Seattle, Wa
    100%
    11d
    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. China
    79.4%
    7.9d
    228181 late
  2. Taiwan
    30%
    4.7d
    103 late
  3. Grenada
    0%
    70 late
  4. Cambodia
    100%
    3.7d
    33 late
  5. Hong Kong S.A.R.
    100%
    2d
    33 late
  6. Hungary
    100%
    7d
    33 late
  7. India
    100%
    5.5d
    22 late
  8. Norway
    100%
    3d
    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 →