Transit times / Btl International Inc

Btl International Inc

1,717 ocean import shipments. Delayed 31.2 points less often than the dataset average of 43.8%.

1,717
Shipments
12.6%
Arrived late
217 shipments
4.6 days
Average delay, when late
median 2 days
17 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
0.3%
Early
1,495
87.1%
On time
130
7.6%
1–3 days
27
1.6%
4–7 days
59
3.4%
8–14 days
1
0.1%
15+ days

By carrier

Top 12 of 15 carriers; 6 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. Zim
    0.5%
    1.3d
    8004 late
  2. HEDE Shipping
    0%
    5470 late
  3. COSCO
    54.2%
    3.4d
    192104 late
  4. Evergreen
    50%
    1.4d
    6834 late
  5. CMA CGM
    100%
    9d
    3636 late
  6. Wan Hai Lines
    63.2%
    6.9d
    1912 late
  7. HMM
    100%
    8.4d
    1111 late
  8. OOCL
    100%
    7.3d
    1111 late
  9. ONE
    25%
    1d
    82 late
  10. Matson
    14.3%
    3d
    71 late
  11. Hapag Lloyd
    0%
    70 late
  12. SM Line
    0%
    50 late

By route

Top 12 of 30 lanes; 55 shipments across the remaining 18 not shown.

% delayed avg days late, when laten = shipments
  1. Shanghai > Los Angeles, Ca
    0.3%
    1d
    7042 late
  2. Ning Bo > Los Angeles, Ca
    1.8%
    9.9d
    5019 late
  3. Yantian > Long Beach, Ca
    24.3%
    2d
    21051 late
  4. Nansha > Los Angeles, Ca
    0%
    770 late
  5. Ning Bo > Newark, Nj
    100%
    8.5d
    4040 late
  6. Ning Bo > Long Beach, Ca
    85.7%
    5.5d
    3530 late
  7. Yantian > Newark, Nj
    76.2%
    6.1d
    2116 late
  8. Nansha > Long Beach, Ca
    33.3%
    2d
    186 late
  9. Shanghai > Long Beach, Ca
    5.9%
    3d
    171 late
  10. Yantian > Savannah, Ga.
    0%
    160 late
  11. Ning Bo > Savannah, Ga.
    100%
    3.7d
    1313 late
  12. Yantian > Los Angeles, Ca
    10%
    2d
    101 late

By supplier

Top 12 of 58 suppliers; 201 shipments across the remaining 46 not shown.

% delayed avg days late, when laten = shipments
  1. Shanghai Double One Supply Chain
    0.3%
    1d
    3441 late
  2. Shanghai Double One Supply Chain Ma
    0%
    2580 late
  3. Zhejiang Hemei Supply Chain Co
    0%
    2520 late
  4. Concord Tianjin International Freig
    0%
    1960 late
  5. Zhejiang Hemei Supply Chain Co Lt
    0.9%
    1d
    1081 late
  6. Cnc Global Co Ltd
    35.8%
    2d
    6724 late
  7. Shenzhen Shi Catch Scm Limited
    44.8%
    3.6d
    6730 late
  8. Deksu E Commerce Logistics
    0%
    640 late
  9. Shenzhen Afis Logistics Technology
    10%
    2.5d
    606 late
  10. Ningbo Grand Alliance Int
    89.7%
    9d
    3935 late
  11. Shenzhen Shi Catch Scm Ltd
    40.5%
    1.1d
    3715 late
  12. Ningbo Get Win International
    54.2%
    1.8d
    2413 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.

4.9%
n=447
2026-07-29
96.6%
n=29
2026-07-30
21.1%
n=76
2026-07-31
18.8%
n=16
2026-08-01
22.2%
n=9
2026-08-02
33.3%
n=3
2026-08-03
9.8%
n=82
2026-08-04
1.6%
n=450
2026-08-05
57.9%
n=19
2026-08-06
100%
n=41
2026-08-07
0%
n=2
2026-08-08
0%
n=6
2026-08-09
0%
n=6
2026-08-10
54.5%
n=11
2026-08-11
13.8%
n=520
2026-08-12

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
    1.4%
    5.9d
    1,30018 late
  2. Long Beach, Ca
    33.9%
    3d
    29299 late
  3. Newark, Nj
    92%
    7.1d
    7569 late
  4. Savannah, Ga.
    46.7%
    3.5d
    3014 late
  5. Houston, Texas
    92.3%
    4.6d
    1312 late
  6. Norfolk, Va.
    66.7%
    1d
    32 late
  7. Tacoma, Wa
    100%
    1d
    22 late
  8. Oakland, Ca
    0%
    10 late
  9. Boston, Mass.
    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. China
    13.6%
    4.5d
    1,525207 late
  2. Saint Helena
    1.1%
    1d
    911 late
  3. Grenada
    0%
    870 late
  4. Norway
    33.3%
    7.5d
    62 late
  5. Hong Kong S.A.R.
    100%
    9d
    66 late
  6. Sudan
    0%
    10 late
  7. Switzerland
    100%
    2d
    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 →