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Deadline day for firm linked to Tory peer to pay back millions over COVID contract scandal
PPE Medpro must repay £122 million after supplying gowns that failed sterility standards, with court-appointed administrators seeking to recover funds amid company insolvency.
- High Court deadline for PPE Medpro, linked to Baroness Michelle Mone, to repay £122m today; the firm has until 4pm to settle, despite ongoing disputes.
- Mrs Justice Cockerill ruled earlier this month that the gowns `were not, contractually speaking, sterile, or properly validated as being sterile`, prompting a 2022 Department of Health and Social Care lawsuit.
- After Mone contacted ministers including Michael Gove, PPE Medpro won contracts worth 203m in June 2020 to supply 210 million masks and 25 million gowns, PPE Medpro insists.
- PPE Medpro entered administration with assets of £666,000, forcing court-appointed administrators to recover funds for the Department of Health and Social Care amid risks of no government recovery.
- Mr Barrowman's spokesman said consortium partners of PPE Medpro rejected offers including a 25 million gowns or a £23 million cash settlement, and are prepared to dialogue with administrators.
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Company linked to Michelle Mone misses deadline to repay £122 million to government
The Department of Health and Social Care successfully sued PPE Medpro earlier this year
·London, United Kingdom
Read Full ArticleMichelle Mone-linked firm misses deadline to repay £122million to taxpayer over defective PPE - The Mirror
Health Secretary Wes Streeting vowed to go after PPE Medpro 'with everything we've got' after it failed to meet a demand by the High Court to repay cash by today
·London, United Kingdom
Read Full Article
+2 Reposted by 2 other sources
PPE Medpro fails to meet deadline to repay Government almost £122m after ruling
Mrs Justice Cockerill previously ruled that PPE Medpro had breached a contract for millions of surgical gowns during the coronavirus pandemic.
·London, United Kingdom
Read Full ArticleCoverage Details
Total News Sources19
Leaning Left7Leaning Right2Center3Last UpdatedBias Distribution58% Left
Bias Distribution
- 58% of the sources lean Left
58% Left
L 58%
C 25%
R 17%
Factuality
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