Transit times / Thomas Foods International Usa

Thomas Foods International Usa

226 ocean import shipments. Delayed 36.3 points less often than the dataset average of 43.8%.

226
Shipments
7.5%
Arrived late
17 shipments
3.7 days
Average delay, when late
median 2 days
8 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.

3
1.3%
Early
206
91.2%
On time
9
4%
1–3 days
6
2.7%
4–7 days
2
0.9%
8–14 days
0
0%
15+ days

By carrier

All 7 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    2%
    2d
    2024 late
  2. Hapag Lloyd
    0%
    60 late
  3. CMA CGM
    60%
    3.7d
    53 late
  4. MFUS
    100%
    6.2d
    55 late
  5. Zim
    100%
    2d
    44 late
  6. ICL
    0%
    30 late
  7. Kuehne + Nagel
    100%
    5d
    11 late

By route

Top 12 of 15 lanes; 3 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. Tauranga > Philadelphia, Pa.
    0%
    890 late
  2. Yarraville > Philadelphia, Pa.
    2.8%
    6.5d
    712 late
  3. Montevideo > Philadelphia, Pa.
    0%
    120 late
  4. Sydney > Philadelphia, Pa.
    20%
    6.5d
    102 late
  5. Salvador > Philadelphia, Pa.
    0%
    100 late
  6. Sao Paulo > Philadelphia, Pa.
    11.1%
    2d
    91 late
  7. Cartagena > Philadelphia, Pa.
    66.7%
    2d
    64 late
  8. Buenos Aires > Philadelphia, Pa.
    75%
    2d
    43 late
  9. Brisbane > Philadelphia, Pa.
    100%
    4d
    44 late
  10. Antwerp > Chester, Pa.
    0%
    30 late
  11. Puerto Manzanillo > Pt. Everglades, Florida
    0%
    30 late
  12. Cartagena > Houston, Texas
    0%
    20 late

By supplier

Top 12 of 25 suppliers; 16 shipments across the remaining 13 not shown.

% delayed avg days late, when laten = shipments
  1. Thomas Foods International Murray B
    0%
    1410 late
  2. Atron Enterprises Pty Ltd
    0%
    160 late
  3. Frigorifico San Jacinto Nirea Sa
    0%
    140 late
  4. Australian Meat Group Pty Ltd
    0%
    70 late
  5. Stanbroke Beef Pty Ltd
    0%
    50 late
  6. Marfrig Global Foods S A
    0%
    50 late
  7. Frigorifico Better Beef Ltda
    20%
    2d
    51 late
  8. Wingham Beef Export Pty Ltd
    75%
    6d
    43 late
  9. Frigorifico Victoria S A E
    100%
    2d
    44 late
  10. S&R Marine Service Bv As Nvocc For
    0%
    30 late
  11. Quickfood Sa
    66.7%
    2d
    32 late
  12. Thomas Borthwick Sons
    100%
    3.7d
    33 late

By vessel

Vessel names are in the most recent data only — 226 of 226 shipments (100%) name one, across 19 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Maersk Buton
    0%
    610 late
  2. Oluf Maersk
    0%
    600 late
  3. Maersk Bratan
    0%
    470 late
  4. Maersk Freeport
    0%
    310 late
  5. Mieke Schulte
    100%
    5d
    55 late
  6. Box Endurance
    100%
    2d
    44 late
  7. Wieland
    100%
    2d
    44 late
  8. Maersk Nacala
    0%
    20 late
  9. Cma Cgm Louga
    100%
    4.5d
    22 late
  10. Maersk Rubicon
    0%
    10 late
  11. Anl Warrnambool
    0%
    10 late
  12. Independent Quest
    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
2026-07-27
9%
n=67
2026-07-28
0%
n=1
2026-07-29
0%
n=1
2026-07-31
100%
n=6
2026-08-01
0%
n=3
2026-08-03
0%
n=60
2026-08-04
0%
n=1
2026-08-05
0%
n=31
2026-08-06
100%
n=5
2026-08-08
0%
n=1
2026-08-10
0%
n=48
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.
    7.9%
    3.7d
    21617 late
  2. Chester, Pa.
    0%
    30 late
  3. Pt. Everglades, Florida
    0%
    30 late
  4. Houston, Texas
    0%
    20 late
  5. Oakland, Ca
    0%
    10 late
  6. 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. Australia
    4.4%
    5.3d
    1808 late
  2. Uruguay
    0%
    200 late
  3. Brazil
    9.1%
    2d
    111 late
  4. Argentina
    50%
    2d
    63 late
  5. Paraguay
    100%
    2d
    44 late
  6. Belgium
    0%
    30 late
  7. Colombia
    0%
    10 late
  8. Netherlands
    100%
    5d
    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 →