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Networks keep finding new ways to one-up each other in ruining sports for viewers
Television networks have long dominated live election coverage, but as audiences increasingly turn to online creators to make sense of major news developments, media companies are trying to turn their broadcast talent into digital personalities
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Arista Networks stock gets fresh backing from Jim Cramer and Wall Street
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ARISTA NETWORKS $ANET Q3’26 EARNINGS HIGHLIGHTS
🔹 Revenue: $3.66B (Est. $3.33B) 🟢; +58.5% YoY
🔹 Adj. EPS: $1.20 (Est. $1.08) 🟢; +56% YoY
Q4 Guide:
🔹 Revenue: ~$3.9B-$4.0B (Est. $3.6B) 🟢
🔹 Adj. EPS: $1.26-$1.30 (Est. $1.15) 🟢
🔹 Non-GAAP Operating Margin: 48%-49%
Announcements:
🔹 Open Ethernet Architectures: up to 144 accelerators/rack; 1,024 XPUs
🔹 Added to S&P 100
Other Q3 Metrics:
🔹 Non-GAAP Oper Income: $1.80B (Est. $1.62B) 🟢
🔹 Non-GAAP Gross Margin: 64.0% (Est. 62.9%) 🟢; -120 bps YoY
🔹 Non-GAAP Operating Margin: 49.1%; +50 bps YoY
🔹 Deferred Revenue: $5.10B
Comments:
🔸 “Arista registered another momentous quarter with the highest year-over-year revenue growth since our IPO and record profitability, surpassing even my high expectations” — Jayshree Ullal, Chairperson and CEO
🔸 “This quarter brought a true trifecta for our company, setting new record highs in revenue growth, net income, and EPS.” — Chantelle Breithaupt, CFO
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Blockchain networks @StellarOrg ($XLM) and @solana ($SOL) added a combined $1.42 billion in on-chain tokenized fund assets over 90 days, ahead of @arbitrum, @Aptos and Base.
The full story:
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Arista Networks: No Pricing Power And No Durable Business Model $ANET #stocks# #investing# #trading#
Paleodictyon networks, they are assumed to be produced by marine animals in the Cambrian period, 530 million years ago. Not much more is known.
TV networks resume covering White House as press access fight continues
Telecoms networks disrupted in Tigray as Ethiopia's military cites major losses by rebels
Criminal networks now automate fraud, adapt laundering patterns, and move across blockchains faster than manual review can follow. Keeping pace calls for defensive #AI# built for the same speed.
In our latest post on the TRM Tech Blog, Guilherme Marmerola explains why TRM is training its own transformer-based blockchain foundation model, learning from public chain activity and TRM's attribution inventory — so investigators can search by behavior and surface related addresses that hand-written queries miss.
Full post here 👉
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