Transit times / Seald Sweet Llc

Seald Sweet Llc

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

109
Shipments
22.9%
Arrived late
25 shipments
2.6 days
Average delay, when late
median 1 days
30 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.

5
4.6%
Early
79
72.5%
On time
24
22%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
1
0.9%
15+ days

By carrier

All 8 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    7.9%
    2d
    635 late
  2. SM Line
    0%
    130 late
  3. Zim
    100%
    1.5d
    1111 late
  4. ONE
    33.3%
    1d
    93 late
  5. CMA CGM
    57.1%
    1d
    74 late
  6. COSCO
    0%
    40 late
  7. DOLQ
    100%
    1d
    11 late
  8. SYZS
    100%
    30d
    11 late

By route

All 12 lanes.

% delayed avg days late, when laten = shipments
  1. Puerto Manzanillo > Philadelphia, Pa.
    0%
    470 late
  2. Callao > Chester, Pa.
    0%
    120 late
  3. Callao > Philadelphia, Pa.
    63.6%
    1d
    117 late
  4. Salvador > Philadelphia, Pa.
    40%
    2d
    104 late
  5. San Antonio > Philadelphia, Pa.
    0%
    90 late
  6. General San Martin > Philadelphia, Pa.
    100%
    1.9d
    77 late
  7. Montevideo > Philadelphia, Pa.
    0%
    40 late
  8. Las Salinas > Philadelphia, Pa.
    100%
    1d
    44 late
  9. Buenos Aires > Philadelphia, Pa.
    50%
    2d
    21 late
  10. Paita > Chester, Pa.
    0%
    10 late
  11. Puerto Drummond > Wilmington, Del.
    100%
    1d
    11 late
  12. Cape Town > Philadelphia, Pa.
    100%
    30d
    11 late

By supplier

Top 12 of 31 suppliers; 25 shipments across the remaining 19 not shown.

% delayed avg days late, when laten = shipments
  1. Consorcio De Productores De Fruta
    52.4%
    1.5d
    2111 late
  2. Exportadora Y Servicios El Parque S
    0%
    140 late
  3. Gestion De Exportaciones Fruticolas
    0%
    110 late
  4. Noridel Sa
    0%
    80 late
  5. Agricola El Calvario S A
    0%
    70 late
  6. Ledesma Sa Agr Ind
    80%
    2d
    54 late
  7. Comercializadora Fruka Spa
    0%
    40 late
  8. Exportadora Pangalillo Spa
    0%
    40 late
  9. Sociedad Agricola Arona Sa
    33.3%
    2d
    31 late
  10. Exportadora Y Servicios El Parque
    0%
    30 late
  11. Andesbhumi Farmers International Sp
    0%
    20 late
  12. Delipack Spa
    0%
    20 late

By vessel

Vessel names are in the most recent data only — 109 of 109 shipments (100%) name one, across 16 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Polar Mexico
    0%
    130 late
  2. Cma Cgm Beira
    0%
    130 late
  3. Maersk Freeport
    0%
    110 late
  4. Maersk Bratan
    0%
    90 late
  5. Maersk Buton
    0%
    90 late
  6. Seaboard Verde
    0%
    80 late
  7. Polar Costa Rica
    0%
    80 late
  8. Matthew Schulte
    100%
    1d
    77 late
  9. Polar Brasil
    0%
    60 late
  10. Box Endurance
    100%
    2d
    66 late
  11. Seaboard Valor
    0%
    50 late
  12. Wieland
    100%
    2d
    55 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=8
2026-07-27
10%
n=10
2026-07-28
0%
n=13
2026-07-29
100%
n=5
2026-07-31
100%
n=6
2026-08-01
0%
n=8
2026-08-02
0%
n=13
2026-08-03
0%
n=2
2026-08-04
38.9%
n=18
2026-08-06
100%
n=6
2026-08-08
0%
n=5
2026-08-09
0%
n=6
2026-08-10
0%
n=9
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.
    25.3%
    2.7d
    9524 late
  2. Chester, Pa.
    0%
    130 late
  3. Wilmington, Del.
    100%
    1d
    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. Chile
    6.6%
    1d
    614 late
  2. Peru
    46.7%
    1.4d
    3014 late
  3. Uruguay
    0%
    100 late
  4. Argentina
    83.3%
    2d
    65 late
  5. Colombia
    100%
    1d
    11 late
  6. South Africa
    100%
    30d
    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 →