Transit times / Lgs Specialty Sales Ltd

Lgs Specialty Sales Ltd

332 ocean import shipments. Delayed 20.9 points less often than the dataset average of 43.8%.

332
Shipments
22.9%
Arrived late
76 shipments
1.6 days
Average delay, when late
median 1 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.

20
6%
Early
236
71.1%
On time
76
22.9%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 8 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    9.9%
    2.8d
    13113 late
  2. MSC
    23.3%
    2d
    6014 late
  3. ONE
    48.1%
    1d
    5426 late
  4. SM Line
    0%
    410 late
  5. CMA CGM
    30.8%
    1d
    268 late
  6. Zim
    100%
    1.5d
    1010 late
  7. COSCO
    62.5%
    1d
    85 late
  8. Hapag Lloyd
    0%
    20 late

By route

Top 12 of 19 lanes; 22 shipments across the remaining 7 not shown.

% delayed avg days late, when laten = shipments
  1. Puerto Manzanillo > Philadelphia, Pa.
    0%
    790 late
  2. San Antonio > Philadelphia, Pa.
    0%
    400 late
  3. Las Salinas > Philadelphia, Pa.
    100%
    1d
    3939 late
  4. Balboa > Port Hueneme, Ca
    32.4%
    3d
    3411 late
  5. Callao > Chester, Pa.
    0%
    330 late
  6. Panama Canal > Philadelphia, Pa.
    31.8%
    1d
    227 late
  7. Cristobal > Philadelphia, Pa.
    0%
    170 late
  8. Cape Town > Philadelphia, Pa.
    53.8%
    3d
    137 late
  9. Callao > Philadelphia, Pa.
    20%
    1.5d
    102 late
  10. General San Martin > Philadelphia, Pa.
    100%
    1.5d
    88 late
  11. Salvador > Philadelphia, Pa.
    12.5%
    2d
    81 late
  12. All Other Panama West Coast Region Ports > Long Beach, Ca
    0%
    70 late

By supplier

Top 12 of 52 suppliers; 129 shipments across the remaining 40 not shown.

% delayed avg days late, when laten = shipments
  1. Consorcio De Productores De Fruta
    15.2%
    1.8d
    335 late
  2. San Antonio Internacional Spa
    40.9%
    2.3d
    229 late
  3. Providence Export S A
    19%
    2d
    214 late
  4. Exportadora Y Servicios El Parque S
    5%
    3d
    201 late
  5. Exportadora El Canelillo S A
    57.9%
    1d
    1911 late
  6. Exportadora Crispagold S A
    13.3%
    1d
    152 late
  7. Exportadora Quelen Spa
    28.6%
    1d
    144 late
  8. Agricola San Osvaldo Spa
    0%
    130 late
  9. Arbolar Citrus Sa
    58.3%
    1d
    127 late
  10. Sociedad Comercial Botanica Spa
    25%
    1d
    123 late
  11. Gestion De Exportaciones Fruticolas
    18.2%
    3d
    112 late
  12. Consorcio De Productores De Fruta S
    0%
    110 late

By vessel

Vessel names are in the most recent data only — 332 of 332 shipments (100%) name one, across 26 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Cma Cgm Beira
    0%
    480 late
  2. Matthew Schulte
    100%
    1d
    3939 late
  3. Seaboard Verde
    0%
    200 late
  4. Seaboard Valor
    0%
    190 late
  5. Oluf Maersk
    0%
    180 late
  6. Msc Montserrat Iii
    0%
    170 late
  7. Polar Mexico
    0%
    170 late
  8. Sealand Balboa
    0%
    160 late
  9. Maersk Freeport
    0%
    150 late
  10. Msc Sheffield Iii
    0%
    150 late
  11. Maersk Olympic
    73.3%
    3d
    1511 late
  12. Maersk Buton
    0%
    140 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=12
2026-07-27
0%
n=15
2026-07-28
12.7%
n=55
2026-07-29
100%
n=11
2026-07-30
55.6%
n=9
2026-07-31
11.8%
n=17
2026-08-01
0%
n=20
2026-08-02
0%
n=33
2026-08-03
0%
n=31
2026-08-04
100%
n=7
2026-08-05
72.2%
n=54
2026-08-06
0%
n=1
2026-08-07
100%
n=5
2026-08-08
0%
n=36
2026-08-09
0%
n=15
2026-08-10
0%
n=11
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. Philadelphia, Pa.
    26.4%
    1.3d
    24665 late
  2. Chester, Pa.
    0%
    390 late
  3. Port Hueneme, Ca
    32.4%
    3d
    3411 late
  4. Long Beach, Ca
    0%
    120 late
  5. Los Angeles, Ca
    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. Chile
    20.8%
    1.6d
    19240 late
  2. Peru
    16.7%
    1.5d
    6010 late
  3. Argentina
    61.9%
    1.2d
    2113 late
  4. South Africa
    53.8%
    3d
    137 late
  5. Vietnam
    0%
    130 late
  6. Uruguay
    0%
    130 late
  7. Panama
    50%
    1d
    126 late
  8. Mexico
    0%
    70 late
  9. Philippines
    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 →