Transit times / Fns Inc

Fns Inc

61 ocean import shipments. Delayed 10.3 points more often than the dataset average of 43.8%.

61
Shipments
54.1%
Arrived late
33 shipments
1.8 days
Average delay, when late
median 1 days
13 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
28
45.9%
On time
30
49.2%
1–3 days
1
1.6%
4–7 days
2
3.3%
8–14 days
0
0%
15+ days

By carrier

All 5 carriers used.

% delayed avg days late, when laten = shipments
  1. CMA CGM
    100%
    1.5d
    3030 late
  2. ONE
    0%
    140 late
  3. Maersk
    7.7%
    1d
    131 late
  4. Yang Ming
    33.3%
    5d
    31 late
  5. HMM
    100%
    9d
    11 late

By route

All 7 lanes.

% delayed avg days late, when laten = shipments
  1. Pusan > Los Angeles, Ca
    64.4%
    1.3d
    4529 late
  2. Lazaro Cardenas > Houston, Texas
    0%
    70 late
  3. Pusan > Houston, Texas
    0%
    40 late
  4. Pusan > Savannah, Ga.
    100%
    9d
    22 late
  5. Pusan > Charleston, S.C.
    100%
    3d
    11 late
  6. Pusan > Tacoma, Wa
    0%
    10 late
  7. Vung Tau > Savannah, Ga.
    100%
    1d
    11 late

By supplier

All 7 suppliers.

% delayed avg days late, when laten = shipments
  1. Lx Pantos Co Ltd
    63.8%
    1.2d
    4730 late
  2. Lx Pantos Vietnam Co Ltd
    11.1%
    1d
    91 late
  3. Hyundai Navis Coltd
    100%
    13d
    11 late
  4. Fns Inc
    0%
    10 late
  5. Glovis America Inc
    0%
    10 late
  6. Royal Tnl Co Ltd
    100%
    9d
    11 late
  7. Kumho P B Chemicals Inc
    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.

65.2%
n=46
2026-08-04
20%
n=15
2026-08-05

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. Los Angeles, Ca
    64.4%
    1.3d
    4529 late
  2. Houston, Texas
    0%
    110 late
  3. Savannah, Ga.
    100%
    6.3d
    33 late
  4. Charleston, S.C.
    100%
    3d
    11 late
  5. Tacoma, Wa
    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. South Korea
    61.5%
    1.8d
    5232 late
  2. Vietnam
    11.1%
    1d
    91 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 →