Key Highlights

  • Agilysys is the quiet compounder here, with fiscal first-quarter Revenue up 14.3% to $87.7 million in hospitality software.
  • CleanSpark is the riskiest pivot in the group, with fiscal third-quarter revenue down 30.5% to $138.0 million and a net loss of $239.8 million.
  • Match Group's second-quarter revenue slipped about 1% to $853 million even as it posted Operating Income of $245.5 million.
  • Schrodinger's total revenue grew 8% to $58.9 million even as its core software revenue fell 10%, reflecting a shift toward hosted arrangements.

The Nasdaq Composite finished the first week of September 2026 close to 26,500, a level that keeps it within reach of its highs even as Leadership has narrowed to a handful of mega-cap names. Look one layer down, though, and the software and technology-services complex is anything but uniform.

Agilysys (NASDAQ:AGYS), Match Group (NASDAQ:MTCH), CleanSpark (NASDAQ:CLSK), Hepsiburada (NASDAQ:HEPS)'s parent D-MARKET and Schrodinger (NASDAQ:SDGR) sit in five separate corners of that complex. One is compounding record quarters, one is defending a turnaround, one is re-inventing itself around AI power, one is fighting Inflation in an emerging market, and one is rebuilding how it sells software. Together they are a useful cross-section of what "AI and software" actually means in September 2026, and where the risks hide.

A backdrop of rate uncertainty and narrow leadership

The macro setting matters more than usual this month. The Federal Reserve's next policy meeting is scheduled for September 15-16, 2026. Futures pricing has been unsettled: after a firmer-than-expected August payrolls report, futures-market data cited in market coverage showed roughly a 41% probability that the federal funds rate would simply hold at 3.50%-3.75% following the meeting, leaving the cut question genuinely open.

That ambiguity weighs on software valuations, where much of the value sits in distant cash flows that a higher discount rate marks down. It also sharpens the market's preference for demonstrated profitability over promises. The five companies below span that spectrum almost perfectly: from steadily cash-generative to deeply loss-making, from AI-as-product to AI-as-narrative. How each is judged this autumn will depend less on the AI label and more on whether the numbers behind it hold up.

Agilysys (NASDAQ:AGYS) keeps compounding hospitality software revenue

Agilysys (NASDAQ:AGYS) is the quiet compounder of this group. The hospitality-software maker, point-of-sale, property-management and related systems for hotels, casinos and resorts, reported fiscal 2027 first-quarter revenue of $87.7 million for the period ended June 30, 2026, up 14.3% year over year and what management called its 18th consecutive record revenue quarter.

Recurring revenue reached $57.7 million, or 65.9% of the total, and subscription revenue grew 26.1%. Net Income was $9.0 million, or $0.32 per diluted share, against $4.9 million a year earlier, with adjusted EBITDA of $18.3 million. The company raised full-year fiscal 2027 guidance to $368 million–$373 million in revenue and subscription growth of at least 32%.

The AI angle here is concrete rather than aspirational: CEO Ramesh Srinivasan said "AI powered feature sets are yielding excellent sales and adoption results," alongside record professional-services revenue of $19.6 million.

The story to watch is durability. A subscription mix pushing toward two-thirds of revenue is what lets Agilysys keep raising guidance, but the stock has long traded at a premium that leaves little room for an implementation stumble.

Match Group (NASDAQ:MTCH) defends a turnaround while chasing AI features

Match Group (NASDAQ:MTCH) is the turnaround case. The owner of Tinder, Hinge and a portfolio of dating apps reported second-quarter 2026 revenue of $853 million, down about 1% year over year, with operating income of $245.5 million and diluted EPS of $0.70.

The mixed signals sit inside the segments. Total payers fell roughly 6% to 13.25 million, but revenue per payer rose about 6% to $21.13. Hinge remained the growth engine, with the company noting roughly 22% year-over-year revenue growth for the brand. Tinder, the larger and more troubled property, generated about $457 million in the quarter, with management flagging that its daily-active-user decline had narrowed to around 4%. For the third quarter, Match guided to $885 million–$895 million in revenue.

Match's AI messaging centers on recommendation-algorithm improvements meant to lift engagement rather than a single flashy feature. The Investment question is whether smarter matching can stabilize Tinder's user base before the payer erosion offsets Hinge's momentum. Until Tinder returns to growth, the stock likely stays a "show-me" name.

CleanSpark (NASDAQ:CLSK) bets its Balance Sheet on AI power

CleanSpark (NASDAQ:CLSK) is the most dramatic pivot in the group, and the riskiest. The Bitcoin miner reported fiscal third-quarter 2026 revenue of $138.0 million, down 30.5% year over year, and a net loss of $239.8 million, or $0.89 per basic share, reflecting brutal post-halving Mining economics. Adjusted EBITDA swung to roughly negative $113 million.

The headline was strategic, not financial. CleanSpark disclosed a 20-year, triple-net Lease at its Sandersville, Georgia site representing about $6.6 billion in contracted revenue over the term, providing 175 MW to an unnamed "investment-grade global technology company," with service beginning in late 2027. Separately, reporting has described preliminary discussions with Meta about leasing capacity at the same site, talks that remain unconfirmed and speculative.

The logic is that scarce, grid-connected power is worth more rented to AI and high-performance computing than spent mining bitcoin. The risk is timing and execution: revenue is contracted but does not start for more than a year, the current losses are large, and the balance sheet still leans on an $814.9 million bitcoin position. This is a story stock in the truest sense.

Hepsiburada (NASDAQ:HEPS) battles inflation as growth costs bite

D-MARKET Electronic Services & Trading (NASDAQ:HEPS), which operates Turkish E-commerce leader Hepsiburada, shows how hard emerging-market platform Economics remain. Second-quarter 2026 gross merchandise value was TRY 56.7 billion, up 2.8% year over year, with revenue of TRY 22.81 billion, up 3.1%. All figures are in Turkish lira and shaped by Turkey's high-inflation accounting (IAS 29); dollar comparisons are unreliable.

The concern is profitability direction. The company reported a net loss of about TRY 1.89 billion, wider than a year earlier, with EBITDA falling roughly 75% to TRY 239.2 million as Marketing spend rose sharply and average order value fell. Order Volume still grew, to 19.5 million, on 11.5 million active customers.

Hepsiburada is a scale-and-logistics story running into a macro wall, Turkish inflation and rate policy make disciplined spending punishing to sustain and easy to abandon. Its "technology" case rests on marketplace take rate, delivery infrastructure and Fintech attach, not on generative-AI features. For US investors, currency translation and Turkish policy risk arguably matter more than the operating metrics this year.

Schrödinger (NASDAQ:SDGR) rebuilds how it sells scientific software

Schrödinger (NASDAQ:SDGR) is the purest AI-in-science name here, and its numbers reflect a Business in transition. Second-quarter 2026 total revenue was $58.9 million, up 8% year over year, but software revenue actually fell 10% to $32.5 million as the company shifts customers toward a hosted, ratably recognized licensing model. Drug-discovery revenue jumped to $23.0 million from $13.9 million, and the company posted net income of $6.0 million versus a large prior-year loss.

The forward metric to watch is annual contract value: software ACV rose 23% to $22.6 million, and total ACV grew 27% to $29.6 million. Full-year 2026 guidance calls for ACV of $218 million–$228 million. Schrödinger also launched an early-access version of Bunsen, described as an "agentic AI co-scientist" for molecular-discovery workflows.

The bull case is that physics-based simulation plus AI agents makes the platform stickier and higher-value; the bear case is that the model transition depresses reported software revenue while the loss-prone drug-discovery pipeline consumes the $418.8 million cash cushion. This is a patience stock.

What Investors Should Watch

The near-term swing Factor is macro. The September 15-16 FOMC decision and its accompanying projections will reset the discount-rate backdrop for every unprofitable software name here. Deeply loss-making stories, CleanSpark, Hepsiburada, arguably Schrödinger, are most exposed if the Fed disappoints rate-cut hopes.

Company-specific catalysts differ sharply. For Agilysys, watch whether subscription growth and AI-feature adoption keep supporting raised guidance. For Match, the single number that matters is Tinder's return to user and revenue growth. For CleanSpark, watch for confirmation (or denial) of additional HPC leases and any hard detail on the reported Meta discussions. For Hepsiburada, watch the trajectory of marketing spend against EBITDA and the lira. For Schrödinger, watch ACV growth and Bunsen adoption as proof the model transition is working rather than merely disruptive.

A Misleadingly Tidy AI Label

Grouping these five under "AI, software and technology services" is convenient but slightly misleading, and that is the point. Agilysys is a profitable compounder using AI as a feature; Match is a cash-generative turnaround leaning on smarter algorithms; CleanSpark is a balance-sheet bet on AI power; Hepsiburada is an emerging-market platform whose fate hinges on Turkish macro; and Schrödinger is a genuine computational-science Franchise mid-reinvention.

In a Nasdaq Composite still priced for optimism, September 2026 rewards specificity over labels. The companies with real, recurring, profitable software economics look best equipped for a higher-for-longer rate path; the story stocks need both the Fed and their own execution to cooperate. Investors should judge each on its own cash flows, not on the acronym they share.