Earnings call transcript: Inderes Q1 2024 results show strategic growth

Inderes reported Q1 2024 revenue growth of 4% year over year, with EBITDA up 8% and a stable 9% EBITDA margin, while international revenue rose 15% and recurring revenue 8%. The company kept full-year 2024 guidance unchanged, targeting 10%-13% EBITDA margin excluding non-recurring items, and reiterated continued investment in software and AI-enabled products. Shareholders also saw a 50% dividend reduction to fund buybacks, and the stock rose 2.24% to EUR 15.65 after the release.

Analysis

The key read-through is not the headline growth, but the mix shift: the business is increasingly behaving like a higher-quality recurring-software platform with an attached distribution moat, while the legacy services piece remains a stabilizer. That tends to re-rate better in a weak small-cap tape because investors pay up for visibility, and the buyback-funded dividend cut signals management is explicitly choosing per-share compounding over optics — usually the right call when the stock is depressed and liquidity is thin.

The second-order winner is likely the company’s own ecosystem effect: if AI-native research consumption becomes the default, firms with proprietary data, transcripts, and workflow integrations can capture more usage without proportionate headcount. That creates a potential flywheel in which software and data access reinforce research demand, while pure-play legacy IR vendors and generic event platforms risk being commoditized. The main loser is any competitor still reliant on PDF-era distribution and manual production, because switching costs rise once clients embed these tools into compliance and publishing workflows.

The market may be underestimating two risks. First, the near-term P&L benefit of AI is overstated: productivity gains can get consumed by reinvestment, so margins may lag enthusiasm for 2-3 quarters even if the top line looks fine. Second, the growth thesis is hostage to capital-market activity; if Nordic small-cap sentiment stays weak into the autumn IPO window, the “wait-and-see” behavior can push out monetization rather than merely delay it. The stock can still work, but the catalyst path is more about sustained product adoption and buyback support than a broad market recovery.

Key Decisions for Investors

• Long small-cap IR / fintech enablers only on pullbacks: use a 3-6 month horizon and buy after post-earnings volatility fades; risk/reward is best if the market is willing to pay for recurring revenue while ignoring near-term margin drag.
• Pair trade: long the data/workflow-enabled platform names vs short traditional research distributors / manual event-service providers over the next 6-12 months; the thesis is that AI benefits firms with proprietary datasets and embedded workflows, not commoditized output.
• If listed in your universe, favor the name on dips versus broader Nordic small-cap indices: use a relative-value long/short against a weak index basket, because the company’s capital allocation and recurring mix should outperform in a risk-off tape.
• Consider a call spread structure for 6-9 months rather than outright equity: upside comes from multiple expansion if AI monetization is believed, while the spread limits damage if management continues to reinvest instead of expanding margins quickly.