Transit times / Kubota Tractor Corp

Kubota Tractor Corp

109 ocean import shipments. Delayed 3 points more often than the dataset average of 43.8%.

109
Shipments
46.8%
Arrived late
51 shipments
2.6 days
Average delay, when late
median 3 days
9 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.

1
0.9%
Early
57
52.3%
On time
50
45.9%
1–3 days
0
0%
4–7 days
1
0.9%
8–14 days
0
0%
15+ days

By carrier

All 10 carriers used.

% delayed avg days late, when laten = shipments
  1. ONE
    48.6%
    2.6d
    7436 late
  2. KWEO
    37.5%
    2d
    166 late
  3. Evergreen
    71.4%
    3d
    75 late
  4. CEXQ
    25%
    1d
    41 late
  5. Hapag Lloyd
    33.3%
    1d
    31 late
  6. WLWH
    0%
    10 late
  7. SSBF
    0%
    10 late
  8. FCCJ
    100%
    9d
    11 late
  9. EGET
    0%
    10 late
  10. WJLN
    100%
    2d
    11 late

By route

Top 12 of 17 lanes; 5 shipments across the remaining 5 not shown.

% delayed avg days late, when laten = shipments
  1. Tokyo > Los Angeles, Ca
    12%
    2d
    253 late
  2. Pusan > Savannah, Ga.
    100%
    3d
    2222 late
  3. Kobe > Los Angeles, Ca
    14.3%
    2d
    213 late
  4. Kobe > Oakland, Ca
    56.3%
    2d
    169 late
  5. Antwerp > Savannah, Ga.
    100%
    2.6d
    77 late
  6. Stadersand > Newark, Nj
    0%
    30 late
  7. Yangshan > Baltimore, Md.
    0%
    20 late
  8. Tokyo > Oakland, Ca
    50%
    2d
    21 late
  9. Bremerhaven > Savannah, Ga.
    100%
    2.5d
    22 late
  10. Antwerp > Houston, Texas
    50%
    1d
    21 late
  11. Zeebrugge > Galveston, Texas
    0%
    10 late
  12. Misaki > Seattle, Wa
    0%
    10 late

By supplier

All 10 suppliers.

% delayed avg days late, when laten = shipments
  1. Kubota Corp
    42.7%
    2.6d
    8938 late
  2. Kubota Baumaschinen Gmbh
    87.5%
    2.6d
    87 late
  3. Motoseal Components Oy
    0%
    30 late
  4. Kverneland Group Kertemide
    50%
    3d
    21 late
  5. Kverneland Group Ravenna Srl
    50%
    1d
    21 late
  6. Kubota Farm Machinery Europe S A S
    0%
    10 late
  7. Kverneland Group Ravenna
    100%
    2d
    11 late
  8. Qingdao Tianhai Rubber And
    100%
    9d
    11 late
  9. Hangzhou Shengchi Machinery Co Ltd
    100%
    2d
    11 late
  10. Kverneland Group Metz S A S
    100%
    1d
    11 late

By vessel

Vessel names are in the most recent data only — 109 of 109 shipments (100%) name one, across 15 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Navios Cyan
    0%
    360 late
  2. Ym Tiptop
    100%
    3d
    2222 late
  3. Mol Proficiency
    33.3%
    2d
    186 late
  4. One Modern
    100%
    2d
    1010 late
  5. Ever Mega
    100%
    2.6d
    99 late
  6. Pl Germany
    0%
    30 late
  7. Ever Favor
    0%
    20 late
  8. Apl California
    50%
    1d
    21 late
  9. Titus
    0%
    10 late
  10. Nadi Chief
    0%
    10 late
  11. Porto Germeno
    0%
    10 late
  12. Ever Lively
    100%
    9d
    11 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=1
2026-07-28
3.4%
n=29
2026-07-29
100%
n=10
2026-07-30
66.7%
n=3
2026-07-31
100%
n=1
2026-08-01
0%
n=1
2026-08-03
73.3%
n=30
2026-08-04
66.7%
n=6
2026-08-05
83.3%
n=6
2026-08-06
28.6%
n=21
2026-08-07
0%
n=1
2026-08-09

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
    14.9%
    3d
    477 late
  2. Savannah, Ga.
    96.9%
    2.9d
    3231 late
  3. Oakland, Ca
    55.6%
    2d
    1810 late
  4. Newark, Nj
    0%
    30 late
  5. Baltimore, Md.
    0%
    20 late
  6. Norfolk, Va.
    50%
    1d
    21 late
  7. Houston, Texas
    50%
    1d
    21 late
  8. Galveston, Texas
    0%
    10 late
  9. Seattle, Wa
    0%
    10 late
  10. Long Beach, Ca
    100%
    2d
    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. Japan
    42.7%
    2.6d
    8938 late
  2. Germany
    70%
    2.6d
    107 late
  3. Belgium
    33.3%
    1d
    31 late
  4. Denmark
    66.7%
    2.5d
    32 late
  5. China
    100%
    5.5d
    22 late
  6. Italy
    50%
    1d
    21 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 →