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QLD2032Contractors › Malt Creative Pty Ltd

Malt Creative Pty Ltd

Disclosed Queensland Government contracts won, agencies, and recent activity — rendered live from procurement disclosures.

CONTRACTOR INTELLIGENCE
Malt Creative Pty Ltd
$399K
Total Awarded
9
Contracts Won
1
Agencies (2021+)
May 2021 – Jan 2026
Active Span
Agencies They Win From
Contracts
Value
Agency-level detail covers disclosed awards 2021–present. The headline totals above are all-time (2010–2026).
Recent Awards (2021+)
Value
Agency
Web and digital design & maint
07 Jan 2026
$45K
The University of Queensland
Web and digital design & maint
07 Oct 2025
$45K
The University of Queensland
Web and digital design & maint
10 Sep 2025
$25K
The University of Queensland
Promotional Printing and Merch
13 Nov 2024
$14K
The University of Queensland
Web Site Design, Mtce, Regn
14 Jun 2023
$19K
The University of Queensland
Promotional Materials
22 Dec 2021
$18K
The University of Queensland
Professional Services
23 Aug 2021
$23K
The University of Queensland
Promotional Materials
05 Aug 2021
$150K
The University of Queensland
Professional Services
26 May 2021
$60K
The University of Queensland
Source: QLD Government contract disclosures via BigQuery • CC BY 4.0 ← All Contractors

Malt Creative Pty Ltd has won 9 disclosed Queensland Government contracts worth $399K in total, active from May 2021 to Jan 2026. The agency breakdown and recent awards reflect disclosures from 2021 onward; headline totals span all available disclosure data (2010–2026).

Disclosed contract value reflects amounts published in government disclosure logs and includes multi-year and whole-of-life contracts — not cash received. Supplier names normalised across disclosure variants. Entities are matched conservatively: where an organisation is disclosed under more than one registered name or ABN, each is listed separately rather than combined, so related entries may appear more than once. Figures are per entry, indicative and subject to revision. Sourced under Creative Commons Attribution 4.0 via BigQuery.