Transit times / Fayman Food Group Llc

Fayman Food Group Llc

257 ocean import shipments. Delayed 27.8 points less often than the dataset average of 43.8%.

257
Shipments
16%
Arrived late
41 shipments
2.4 days
Average delay, when late
median 2 days
7 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.

0
0%
Early
216
84%
On time
36
14%
1–3 days
5
1.9%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    11.2%
    2d
    12514 late
  2. Maersk
    3.3%
    2d
    923 late
  3. CMA CGM
    23.8%
    7d
    215 late
  4. Hapag Lloyd
    100%
    2d
    1111 late
  5. Zim
    100%
    1d
    77 late
  6. ONE
    100%
    2d
    11 late

By route

All 11 lanes.

% delayed avg days late, when laten = shipments
  1. Cristobal > Houston, Texas
    0%
    950 late
  2. Buenos Aires > Houston, Texas
    61%
    1.7d
    4125 late
  3. Barao De Teffe > Houston, Texas
    0%
    370 late
  4. Cartagena > Houston, Texas
    50%
    3.3d
    3015 late
  5. Salvador > Houston, Texas
    0%
    230 late
  6. Sao Paulo > Houston, Texas
    0%
    200 late
  7. Imbituba > Houston, Texas
    0%
    50 late
  8. Puerto Manzanillo > Houston, Texas
    0%
    20 late
  9. Cartagena > Philadelphia, Pa.
    0%
    20 late
  10. Veracruz > Houston, Texas
    100%
    7d
    11 late
  11. Puerto Madero > Houston, Texas
    0%
    10 late

By supplier

Top 12 of 20 suppliers; 9 shipments across the remaining 8 not shown.

% delayed avg days late, when laten = shipments
  1. E C Throsby Pty Ltd
    2.7%
    2d
    742 late
  2. Jbs Sa
    0%
    600 late
  3. Frigorifico Gorina S A I C
    51.2%
    1.7d
    4322 late
  4. Jbs Australia Pty Ltd
    0%
    130 late
  5. Mcphee Bros Export Pty Ltd
    75%
    2d
    129 late
  6. Jbs Australia Pty Limited
    18.2%
    7d
    112 late
  7. Agroindustrial Iguatemi Ltda
    0%
    100 late
  8. Anzco Foods Limited
    33.3%
    7d
    93 late
  9. Jbs Sa 6
    0%
    60 late
  10. Harvey Beef Export
    0%
    40 late
  11. Fayman International Group Pty Ltd
    0%
    40 late
  12. Agra Agroindustrial De Alimentos Sa
    0%
    20 late

By vessel

Vessel names are in the most recent data only — 257 of 257 shipments (100%) name one, across 11 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Sc Montreal
    0%
    630 late
  2. Maersk Rubicon
    0%
    580 late
  3. Maersk New Delhi
    0%
    340 late
  4. Dalian Express
    100%
    2d
    2929 late
  5. Maersk Pangani
    0%
    280 late
  6. Le Havre Express
    0%
    160 late
  7. Cma Cgm Rabelais
    0%
    140 late
  8. Zim Baltimore
    100%
    1d
    77 late
  9. Swansea
    100%
    7d
    55 late
  10. Maersk Buton
    0%
    20 late
  11. Chennai Express
    0%
    10 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=2
2026-07-28
0%
n=28
2026-07-29
100%
n=29
2026-07-30
0%
n=34
2026-07-31
0%
n=1
2026-08-01
100%
n=5
2026-08-02
0%
n=16
2026-08-04
0%
n=58
2026-08-05
0%
n=63
2026-08-07
0%
n=14
2026-08-09
100%
n=7
2026-08-10

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. Houston, Texas
    16.1%
    2.4d
    25541 late
  2. Philadelphia, Pa.
    0%
    20 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. Australia
    11%
    2.8d
    11813 late
  2. Brazil
    0%
    770 late
  3. Argentina
    51%
    1.7d
    4925 late
  4. New Zealand
    33.3%
    7d
    93 late
  5. Senegal
    0%
    20 late
  6. Mexico
    0%
    20 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 →