LA Poppe

Company ID
BE
0651878503
Address

Lange Klarenstraat 1

2000 Antwerpen

BE

Legal Form

Private Limited Company

Juridical Situation

Normal situation

Established

4/13/2016

Company Size

Micro

Activities
  • Retail trade excluding repair of motor vehicles and motorcycles

  • Education

  • Wholesale trade excluding repair of motor vehicles and motorcycles

ESG Risk Cases

1

Accusation

In late November 2025, the now bankrupt Antwerp Beauty Academy of Lesley-Ann Poppe was found guilty …

Timeline

First report on 3/11/2025 by Het Laatste Nieuws

Since then, updated 2 times

Last update on 1/12/2025

Involved Companies

i-Learning - Beroepsfederatie voor algemene kwalificatie in vakbekwaamheid en ondernemerschap VZW

BE
0664481276

LA Poppe

BE
0651878503

MISSES WORLD BELGIUM - MISSES GLOBE BELGIUM

BE
0883461845
Read full case
2

Accusation

Former employees accuse Lesley-Ann Poppe’s Beauty Academy of unpaid wages, intimidation, financial m…

Timeline

First report on 11/3/2025 by Het Laatste Nieuws

Since then, updated 12 times

Last update on 7/11/2025

UNGC Violation Risks
UNGC Anti-Corruption icon
Involved Companies

i-Learning - Beroepsfederatie voor algemene kwalificatie in vakbekwaamheid en ondernemerschap VZW

BE
0664481276

LA Poppe

BE
0651878503

MISSES WORLD BELGIUM - MISSES GLOBE BELGIUM

BE
0883461845
Read full case
3

Accusation

In September 2025, investigations revealed tax fraud suspicions behind the bankruptcy of Lesley-Ann …

Timeline

First report on 23/9/2025 by Gazet van Antwerpen

Since then, updated 2 times

Last update on 23/9/2025

UNGC Violation Risks
UNGC Anti-Corruption icon
Involved Companies

i-Learning - Beroepsfederatie voor algemene kwalificatie in vakbekwaamheid en ondernemerschap VZW

BE
0664481276

LA Poppe

BE
0651878503

MISSES WORLD BELGIUM - MISSES GLOBE BELGIUM

BE
0883461845
Read full case

Sentiment Attention Over Time

  • Total
  • Negative

The Sentiment Attention is produced by AI models developed by Sentometrics. Articles are connected to companies based on public information like company names, sectors, locations, linked companies, and company directors. Themes are assigned using keywords, and sentiment is analyzed with the help of AI prompts. A human team reviews and helps the system learn and improve over time.

Recent Relevant News

DateSentimentThemeHeadlineSource

Date

18/11/2025

Sentiment

Negative

Theme

Financial health

Title

Negative Update - Nov 18

Source

Source 1

Date

4/11/2025

Sentiment

Negative

Theme

Governance
Social
Financial health

Title

Negative Update - Nov 04

Source

Source 2

Date

25/10/2025

Sentiment

Negative

Theme

Social
Governance
Financial health

Title

Negative Update - Oct 25

Source

Source 3

Date

24/10/2025

Sentiment

Negative

Theme

Governance
Social
Financial health

Title

Negative Update - Oct 24

Source

Source 4

Date

23/9/2025

Sentiment

Negative

Theme

Governance
Social
Financial health

Title

Negative Update - Sep 23

Source

Source 5
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As of 31/12/2024