Dubbo-based construction magnate Wes Maas has faced a challenging period as shares in his company, Maas Group, experienced a significant downturn. The market reacted sharply, with the share price dropping by 50 per cent in less than two weeks, amid swirling speculation around artificial intelligence hype and margin loans. This steep decline followed the unexpected failure of the planned $44 billion initial public offering for Firmus, an AI infrastructure group in which Maas Group had made a substantial investment. Maas Group, a construction business started 24 years ago, has transformed its operations to focus on AI infrastructure development, aiming to capitalise on the demand for data centre build-outs.
Maas Group had invested $410 million into Firmus and secured a $1.1 billion contract for electrical work, a strategic pivot after selling its construction materials division for $1.6 billion. The Firmus IPO’s collapse amplified investor concerns regarding this shift. Emerging publicly, Wes Maas insisted there was “nothing wrong,” downplaying the Firmus investment as roughly 20 per cent of his company’s $2 billion balance sheet. In response to market turbulence, Maas Group launched an aggressive share buyback, spending approximately $85 million. It exhausted its initial 10 per cent program and swiftly approved a further 20 per cent repurchase, accounting for about 40 per cent of traded volume.
These proactive measures, coupled with a pre-trading market update reiterating a strong balance sheet and work pipeline, appeared to stabilise the stock, which gained 10 per cent to $3.64. Despite this, the share price remains well below its $7.25 peak, and minority shareholders remain rattled. Speculation also mounted regarding Wes Maas’s personal leverage, tied to his 50 per cent stake. Maas dismissed these concerns, stating his share-backed loan facilities have “very low leverage” and are “very unlikely to be triggered.” Acknowledging the “bumpy” road ahead for AI infrastructure, Maas noted this massive rollout is in its early stages, predicting continued volatility.
