McGrathNicol Advisory
Disclosed Queensland Government contracts won, agencies, and recent activity — rendered live from procurement disclosures.
CONTRACTOR INTELLIGENCE
McGrathNicol Advisory
BRONZE • $1.7M+
Feb 2021 – Mar 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
SaaS Security Posture Management
16 Mar 2026
$78K
Cyber Maturity Assessment Phase II
15 Aug 2025
$149K
90020312 - Non Order Invoice - Sc Reg-Prof Servs Ref: C-025-20…
11 Dec 2024
$13K
90017293 - Non Order Invoice - Prof Svcs-10/06/23-13/03/24
23 Oct 2024
$17K
90019583 - Non Order Invoice - Prof Svcs 26/08-09/10/24
23 Oct 2024
$38K
90019322 - Non Order Invoice - Prof Servs - Ref: C-025-2023-24…
18 Oct 2024
$17K
PROFESSIONAL SERVS 25/02 - 09/06/2023
09 Aug 2023
$19K
PROFESS INVEST SVCS, PERIOD 27/1-18/5/23
31 Jul 2023
$24K
Professional Contractor Services
20 Jul 2023
$25K
Department of Tourism, Innov…
PROFESSIONAL SERVICE
28 Apr 2023
$825K
Queensland Rail
PROFESIONAL SVCS 15/11/22-25/01/2023
02 Mar 2023
$10K
FORENSIC INVESTIGATION SERVICES
24 Jan 2023
$23K
Professional Services
26 Sep 2022
$11K
Queensland Treasury Corporat…
2022 ASSET PLAN
21 Sep 2022
$554K
Queensland Rail
PROFESSIONAL SERVICES (C-046-2020-21)
20 Apr 2022
$31K
Probity Advice Agreement
22 Feb 2021
$27K
Queensland Health
Professional Contractor Services
25 Mar 2019
$33K
DITID
McGrathNicol Advisory has won 7 disclosed Queensland Government contracts worth $1.7M in total, active from Feb 2021 to Mar 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; figures indicative and subject to revision. Sourced under Creative Commons Attribution 4.0 via BigQuery.