Data & Analytics — Sep 7 – Sep 11, 2026 (Wk 37): Data & Analytics Risk Elevated, Valuations Below Model Value Amid Stable Macro Backdrop

TL;DR — The Data & Analytics theme saw its risk score increase this week, reaching an 'Elevated' level. Despite this, the median valuation for stocks in this sector remains below their computed model value, while broader market conditions show stability.

What moved

• The risk score for the Data & Analytics theme increased by 4 points this week, reaching 43/100, which is categorized as 'Elevated'. This indicates a heightened level of perceived risk within the sector, which can influence how investors assess companies in this space. [SAVNG data]
• The median price-to-model-value across 32 stocks in the Data & Analytics theme was 0.85x. This suggests that, on average, stocks in this theme are trading below their calculated intrinsic value, which can be a point of interest for those evaluating the sector. [SAVNG data]

The why behind the week

• The increase in the Data & Analytics theme's risk score to an 'Elevated' level (43/100) suggests a shift in underlying factors affecting the sector, though no clear catalyst is present in our sources this week. This change in risk perception can influence investor sentiment and capital allocation decisions within the theme. [SAVNG data]
• The consistent trading of Data & Analytics stocks at a median price-to-model-value of 0.85x indicates that the market is valuing these companies, on average, below their computed fundamental worth. This valuation metric provides a snapshot of how the market is currently assessing the future prospects and inherent value of these businesses. [SAVNG data]

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

• $CDLX — entered a material agreement [SEC filing] 2026-09-11
• $ACVA — entered a material agreement [SEC filing] 2026-09-10
• $GCTK — entered a material agreement; took on a new debt obligation; unregistered equity sale [SEC filing] 2026-09-09
• $VRSK — officer/director departure or appointment [SEC filing] 2026-09-08
• $HCTI — entered a material agreement [SEC filing] 2026-09-08
• $FNGR — entered a material agreement; terminated a material agreement [SEC filing] 2026-09-04
• $FNGR — other events; exhibits [SEC filing] 2026-09-11
• $FTK — Reg FD disclosure; exhibits [SEC filing] 2026-09-09

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 11 — 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.
• Fri Sep 11 — CPI (inflation). 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.
• Wed Sep 16 — Retail sales. the consumer's pulse — matters most to consumer/retail names. 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 is at 4.83%, while expected inflation is 2.4%. These figures are important for Data & Analytics companies as higher interest rates can increase the cost of capital for businesses, potentially impacting investment in data infrastructure and analytics projects, especially for growth-oriented firms. [macro data]
• The VIX, a measure of market volatility, is at 16.1. A relatively low VIX reading like this generally indicates a calmer market environment, which can support investor confidence in technology and growth sectors like Data & Analytics, as less volatility often correlates with a greater willingness to invest in riskier assets. [macro data]
• The high-yield credit spread is 2.71%. This spread reflects the additional yield investors demand for holding riskier corporate debt. A narrower spread can indicate easier access to credit for companies, including those in Data & Analytics, which can be crucial for funding operations, expansion, and acquisitions. [macro data]
• The Shiller CAPE ratio is 40.73, and overall market risk is 47/100. These broader market indicators provide context for the Data & Analytics theme; a high CAPE ratio suggests a generally expensive market, which could influence how investors view valuations within specific sectors, while the market risk score offers a general gauge of overall investment caution. [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 →