Waterman Transport Inc.
Federal Contractor · Rank #1027
Spending by Agency
Recent Awards
| Description | Agency | Start Date | Amount |
|---|---|---|---|
| N103A/N321A/E.N.HATCHER - 90 DAY DRY CARGO TIME CHARTER EXTENDED TERM AMMO CHARTER | Department of Defense | Nov 4, 2022 | $31.1M |
| N103A/N321A/E.N.HATCHER - 86 DAY DRY CARGO TIME CHARTER AC-54 AMMO CHARTER | Department of Defense | Nov 15, 2022 | $11.3M |
| N103/N321 / E.N. HATCHER / 85-DAY DRY CARGO TIME CHARTER OPERATION DEEP FREEZE 2024 | Department of Defense | Nov 29, 2023 | $8.9M |
| N103/N321 - D. ANAYA - 59-DAY DRY CARGO TIME CHARTER AC-61 MISSION/POP 02 JUNE - 31 JULY 2024 | Department of Defense | May 17, 2024 | $8.6M |
| N103/N321 T. GALLON 61-DAY DRY CARGO TIME CHARTER. | Department of Defense | May 16, 2023 | $8.3M |
| N103 - N321 D. ANAYA: 19-DAY DRY TIME CHARTER FROM CHARLESTON SOUTH CAROLINA TO KALUNDBORG, DENMARK | Department of Defense | Mar 1, 2024 | $6.1M |
| N103 / N321 - D.C.ANAYA - 66-DAY DRYTIME CHARTER AC-60 AMMUNITION MISSION | Department of Defense | Oct 24, 2023 | $6.1M |
| N103A/N321A- E.N.HATCHER - 37-DAY DRY CARGO TIME CHARTER PACER GOOSE 2024 | Department of Defense | Jun 12, 2024 | $5.6M |
| N103 - N321 K. DAHLQUIST: 27-DAY DRY TIME CHARTER FROM GDYNIA, POLAND TO CORPUS CHRISTI, TX (USA) | Department of Defense | Apr 5, 2024 | $5.5M |
| N103/N321 - M. PRICE - 20-DAY DRY CARGO TIME CHARTER I/D ABCT REDEPLOY MISSION/POP 24 JUNE - 14 JULY 2024 | Department of Defense | May 30, 2024 | $5.5M |
| CONSOLIDATED TRANSPORTATION SHIPMENTS MADE BY DECENTRALIZED ORDERING OFFICERS | Department of Defense | Jan 1, 2024 | $5.5M |
| N103/N321 M. GORDON 21-DAY DRY CARGO TIME CHARTER FROM ITALY TO SOUTH CAROLINA. | Department of Defense | Apr 10, 2024 | $5.3M |
| CONSOLIDATED TRANSPORTATION SHIPMENTS MADE BY DECENTRALIZED ORDERING OFFICERS | Department of Defense | Mar 1, 2024 | $5.1M |
| N103/N321 - M. PRICE - TRANSPORT OF LCU'S FROM ROTA, SPAIN TO NORFOLK, VA (USA) | Department of Defense | Sep 26, 2024 | $4.9M |
| N103-N321 J JOHNSON 24 DAY DRY CARGO TIME CHARTER FOR AFRICAN LION REDEPLOYMENT | Department of Defense | Jun 7, 2023 | $4.4M |
| CONSOLIDATED TRANSPORTATION SHIPMENTS MADE BY DECENTRALIZED ORDERING OFFICERS | Department of Defense | Apr 1, 2024 | $2.7M |
| CONSOLIDATED TRANSPORTATION SHIPMENTS MADE BY DECENTRALIZED ORDERING OFFICERS | Department of Defense | Sep 1, 2024 | $1.2M |
| CONSOLIDATED TRANSPORTATION SHIPMENTS MADE BY DECENTRALIZED ORDERING OFFICERS | Department of Defense | Sep 1, 2023 | $58K |
| CONSOLIDATED TRANSPORTATION SHIPMENTS MADE BY DECENTRALIZED ORDERING OFFICERS | Department of Defense | Oct 1, 2023 | $43K |
| CONSOLIDATED TRANSPORTATION SHIPMENTS MADE BY DECENTRALIZED ORDERING OFFICERS | Department of Defense | Dec 1, 2023 | $32K |
All federal spending data sourced from USAspending.gov, the official source for federal award data as mandated by the Government Accountability Office.
Waterman Transport Inc. Federal Contracts FAQ
Waterman Transport Inc. has received $74,657,804 in total federal obligations across 21 awards and 21 contracts.
Waterman Transport Inc. works with 1 federal agencies, including Department of Defense. The largest agency relationships are based on total dollar obligations.
Waterman Transport Inc. has received federal awards in multiple states.
Waterman Transport Inc. is ranked #1027 among the largest federal contractors by total obligation amount. Rankings are based on USASpending.gov data for FY2024.
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Spending figures represent total federal obligations for FY2024, as reported through USASpending.gov. Rankings are based on aggregate obligation amounts across all contract, grant, and direct payment awards.
The this entity record above pulls directly from USASpending.gov federal awards data. What follows is the per-entity context — how this entity sits in the broader U.S. federal government spending distribution and which underlying factors drive the headline numbers.
Every number on this page links back to USASpending.gov federal awards data; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.
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