Diginex has reaffirmed the share price for its upcoming all-share takeover of Resulticks at $10.56 per share after an 8-for-1 consolidation, ensuring clarity on the valuation ahead of the $1.5 billion deal that aims to bolster its AI-driven enterprise software ambitions.
Diginex has moved to clear up confusion over the pricing of its planned all-share takeover of Resulticks, saying the consideration works out at $10.56 per Diginex share after an 8-for-1 consolidation that took effect on April 28. The London-based sustainability regtech group said the original $1.32 reference price was set before the reverse split, so the headline economics of the $1.5 billion deal have not changed.
In practical terms, the company said the number of shares to be issued in the transaction has also been adjusted to reflect the consolidation, leaving the overall value of the offer intact. Diginex stressed that the acquisition is still subject to the usual closing conditions.
The clarification follows a series of deal announcements and corporate updates in which Diginex has presented Resulticks as central to its push further into AI-led enterprise software. In February, the two companies said they had already struck a reseller agreement aimed at generating $40 million of revenue over four years, while also reshaping an earlier funding arrangement. In April, Diginex said the acquisition would bring in a business with an EBITDA profile of $46 million to $50 million and help support a longer-term growth plan.
Diginex first announced the acquisition on April 16, saying it expected the transaction to strengthen its move into AI-driven customer intelligence and enterprise automation. The company has separately suggested the Resulticks combination could help lift revenue sharply by 2027, although those forecasts remain contingent on completion and integration. For now, the focus is on making sure investors interpret the share math correctly after the consolidation.
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Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The article is dated May 1, 2026, and provides new information regarding Diginex’s acquisition of Resulticks, including the adjusted share consideration price post-consolidation. This information has not been reported elsewhere, indicating high freshness.
Quotes check
Score:
10
Notes:
The article does not contain direct quotes. The information is presented in a straightforward manner without attributed statements, which is appropriate for a corporate announcement.
Source reliability
Score:
8
Notes:
The article originates from Web3Wire, a niche publication focusing on blockchain and Web3 technologies. While it is not a major news organisation, it appears to be a legitimate source. However, its niche focus may limit its reach and audience.
Plausibility check
Score:
9
Notes:
The claims made in the article align with Diginex’s previous announcements regarding the acquisition of Resulticks. The adjusted share consideration price of $10.56 per share is consistent with the 8-for-1 share consolidation effective April 28, 2026. The transaction value remains at $1.5 billion, payable entirely in Diginex ordinary shares. These details are plausible and consistent with standard corporate practices.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article provides new information regarding Diginex’s acquisition of Resulticks, including the adjusted share consideration price post-consolidation. While the source is a niche publication, the information aligns with Diginex’s previous announcements and is plausible. However, the reliance on corporate press releases for verification introduces potential bias, and the limited independent verification from third-party sources reduces the overall confidence in the information’s accuracy.
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