Data & Analytics — Aug 31 – Sep 4, 2026 (Wk 36): Data & Analytics Risk Score Declines to Moderate; Valuation at 0.85x

September 4, 2026 · · 5 min read
Weekly theme roundup · Aug 31 – Sep 4, 2026
Covering the 32 Data & Analytics stocks in our database — browse every Data & Analytics name →

TL;DR — The Data & Analytics theme saw its risk score decrease this week, moving into the moderate category. Valuations for stocks in this sector remained below their model values, with no significant insider buying activity recorded.

Theme risk
37/100 Moderate
▼ -5 vs last week
Median price / model value
0.85×
out of favor — below model value · 32 stocks
Insider tape (CMP-filtered)
0 buys
open-market, routine & 10b5-1 stripped

What moved

  • The computed risk score for the Data & Analytics theme decreased by 5 points this week, settling at 37/100, which is considered moderate. This shift suggests a reduction in the assessed risk profile for companies within this sector. [SAVNG data]
  • The median price-to-model-value ratio across 32 stocks in the Data & Analytics theme was 0.85x. This indicates that, on average, stocks in this theme are trading below their computed model values. [SAVNG data]
  • No open-market insider buying activity, excluding routine 10b5-1 transactions, was recorded for stocks in the Data & Analytics theme this week. This suggests a lack of non-scheduled insider confidence signals. [SAVNG data]

The why behind the week

  • The decrease in the Data & Analytics theme's risk score to 37/100, placing it in the moderate category, reflects a change in underlying risk factors. While the specific catalysts for this decline are not detailed in our sources, a lower risk score generally implies a more stable or less volatile environment for the companies within this theme. [SAVNG data]
  • The median price-to-model-value of 0.85x for Data & Analytics stocks indicates that the market is currently valuing these companies, on average, below their calculated intrinsic worth. This valuation metric can be influenced by various factors, including market sentiment, growth expectations, and broader economic conditions, though no clear catalyst for this specific level is provided in our sources. [SAVNG data]

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

The macro backdrop

10-yr Treasury 4.79%Expected inflation 2.4%VIX 14.0High-yield spread 2.65%Yield curve (10y–2y) 0.43%Overall market risk 41/100 Elevated
How to read it
  • Credit Spread: tight — credit markets are relaxed, no stress being priced
  • Yield Curve: flat — the recession-warning zone; a rapid steepening from here has often preceded the actual downturn
  • Vix: calm — the market is complacent, which cuts both ways (little cushion if news turns)

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

📅 On the calendar — and why it matters here

  • Fri Sep 4 — 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.
  • Fri Sep 4 — 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.
  • Thu Sep 10 — PPI (wholesale inflation). wholesale inflation — an early tell on where CPI heads next. 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 stands at 4.79%, and expected inflation is 2.35%. Higher interest rates can increase the cost of capital for Data & Analytics companies, potentially impacting their investment in new technologies or expansion plans, while inflation can affect operational costs. [macro data]
  • The VIX, a measure of market volatility, is at 14.04. A relatively low VIX reading typically suggests a calmer market environment, which can influence investor sentiment and the perceived risk of growth-oriented sectors like Data & Analytics. [macro data]
  • The high-yield credit spread is 2.65%. This spread reflects the additional yield investors demand for holding riskier corporate debt. A narrower spread can indicate better credit conditions, potentially easing financing for some Data & Analytics firms, especially those with less established financial profiles. [macro data]
  • The Shiller CAPE ratio is 42.38, and overall market risk is 41/100. These broader market indicators provide context for the general investment climate. A high CAPE ratio can suggest elevated market valuations overall, which might influence how investors perceive and value specific sectors like Data & 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 →

All Data & Analytics roundups: 2026-W37 · 2026-W35 · 2026-W34 · 2026-W33 · 2026-W32 · every scope →

SAVNG is an educational research publication, not a Registered Investment Adviser. Everything here is general-circulation information produced by an automated pipeline — the same for every reader — and is not personalized investment advice, an offer, or a recommendation to buy or sell any security. Any performance figure is hypothetical; past performance does not predict future results. Details.

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