Data & Analytics — Sep 21 – Sep 25, 2026 (Wk 39): Data & Analytics: No Insider Buys, Valuation at 0.84x Model Value Amidst Macro Stability

TL;DR — The Data & Analytics theme saw no significant insider buying activity this week, and the median price-to-model-value for 38 tracked stocks was 0.84x. This occurred against a backdrop of stable macroeconomic indicators, including a 10-year Treasury yield of 5.11% and a VIX at 15.16.

What moved

• There were no recorded open-market insider buys in the Data & Analytics theme this week, after stripping out routine or 10b5-1 plan transactions. This suggests a lack of opportunistic buying by company insiders, which can sometimes be an indicator of their sentiment regarding future prospects. [SAVNG data]
• The median price-to-model-value across 38 stocks in the Data & Analytics theme was 0.84x. This metric indicates that, on average, stocks in this theme are trading below SAVNG's computed model value, which can be a point of interest for understanding current market valuations relative to intrinsic estimates. [SAVNG data]

The why behind the week

• The absence of significant insider buying activity this week, as recorded by SAVNG, provides no clear signal of increased confidence from company executives in the immediate future performance of their stocks within the Data & Analytics sector. Such activity, when present, can sometimes reflect an insider's view on undervaluation or upcoming positive developments. [SAVNG data]
• The median price-to-model-value of 0.84x suggests that, by SAVNG's calculations, the market is currently valuing these Data & Analytics companies at 84% of their estimated intrinsic worth. This valuation level is a key metric for understanding how the market perceives the current and future earnings potential of these businesses. [SAVNG data]

📄 Filings that matter (8-Ks, straight from EDGAR)

• $GCTK — entered a material agreement [SEC filing] 2026-09-24
• $TRU — officer/director departure or appointment [SEC filing] 2026-09-23
• $FTK — entered a material agreement; terminated a material agreement; took on a new debt obligation [SEC filing] 2026-09-23
• $QXL — officer/director departure or appointment [SEC filing] 2026-09-22
• $DOMO — terminated a material agreement; completed an acquisition or disposition [SEC filing] 2026-09-22
• $AIAI — entered a material agreement; unregistered equity sale [SEC filing] 2026-09-21
• $SOBR — terminated a material agreement [SEC filing] 2026-09-18
• $GCTK — officer/director departure or appointment [SEC filing] 2026-09-18

The macro backdrop

Every theme swims in this tide — judge the week’s moves against it.

📅 On the calendar — and why it matters here

• Fri Sep 25 — FOMC (Fed rate decision / minutes). the single biggest scheduled market mover — a rate surprise in either direction repriced everything, hardest on rate-sensitive names (growth, REITs, utilities, homebuilders). Watch for a surprise vs expectations — that gap, not the number itself, is what moves markets.
• Tue Sep 29 — JOLTS (job openings). labor-market tightness — a cooling read eases wage-inflation fears. Watch for a surprise vs expectations — that gap, not the number itself, is what moves markets.
• Wed Sep 30 — GDP. the broadest growth read — confirms or breaks the soft-landing thesis. Watch for a surprise vs expectations — that gap, not the number itself, is what moves markets.
• Wed Sep 30 — PCE inflation (the Fed's gauge). a hot print pushes rate-cut odds out (pressuring long-duration assets); a soft print does the reverse — one of the highest-impact releases. Watch for a surprise vs expectations — that gap, not the number itself, is what moves markets.
• Fri Oct 2 — Jobs report (payrolls + unemployment). sets the growth-vs-recession narrative — a weak number lifts recession odds (hits cyclicals, consumer, financials); a strong one can paradoxically pressure rates. Watch for a surprise vs expectations — that gap, not the number itself, is what moves markets.

What to watch next

• The 10-year Treasury yield, currently at 5.11%, is a key benchmark for the cost of capital. A higher yield can increase borrowing costs for Data & Analytics companies and may influence the discount rates used in valuation models, potentially impacting how future earnings are valued. [macro data]
• Expected inflation, at 2.33%, is relevant as it can influence the pricing power of Data & Analytics companies and their operational costs. Sustained higher inflation could lead to increased input costs for technology and talent, potentially affecting profit margins. [macro data]
• The VIX, currently at 15.16, indicates a relatively low level of expected market volatility. A lower VIX typically suggests a calmer market environment, which can be conducive to stable valuations for growth-oriented sectors like Data & Analytics, as investor uncertainty is reduced. [macro data]
• The high-yield credit spread of 2.8% reflects the additional yield investors demand for holding riskier corporate debt. A narrower spread can indicate easier access to financing for companies, including those in Data & Analytics that may rely on debt for expansion or operations, while a widening spread could signal tighter credit conditions. [macro data]
• The Shiller CAPE ratio, at 41.25, provides a long-term valuation perspective for the broader market. While not specific to Data & Analytics, a high CAPE ratio suggests that the overall market is trading at a premium relative to historical earnings, which can influence investor sentiment towards all sectors, including technology and analytics. [macro data]

Every claim above cites its source — headlines link to the original outlet; [SAVNG data] marks our own EDGAR-computed figures. Where our sources don’t explain a move, we say so rather than guess. All weekly roundups →