Ticker delayed 20 minutes
Avg Daily Volume: 3,531,710 Market Cap: 8.23B
Sector: Technology Short Interest: 5.84
EARNINGS EXPECTATIONS:
THIS QTR: EPS: .57/share REV: 1,190/M
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LAST QTR: EPS: .46/share ACTUAL: .48/share (BEAT)
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NEXT QTR: EPS: .31/share REV: 1,030/M
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FULL YR: EPS: 1.71/share REV: 4,420/M
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*These are the base metrics we will be watching against the actual release numbers
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BEAT/MISS RECORD: 67% OF THE TIME THEY BEAT ESTIMATES
PRIOR ‘JUMP ZONE’ MOVES (LAST 3 QTRS %) 6.65, 3.47. -3.30
EXPECTED JUMP MOVE: 5-9%
Links To Latest News and Headlines
Mention semiconductors and chip giants such as Intel Corp., Advanced Micro Devices Inc. and NVIDIA Corp. spring to mind, but there are other, less high-profile companies, operating in the space that deserve attention.
When it comes to investing, there are some useful financial metrics that can warn us when a business is potentially in…
TOKYO, June 16, 2022–Juniper Networks (NYSE:JNPR), a leader in secure, AI-driven networks, today announced that it has been awarded multiple top honors at Interop Tokyo 2022, building on its long-standing tradition of major award wins at the prestigious trade conference. This recognition is a testament to Juniper’s commitment to building innovative products and solutions that simplify networking and security while delivering experience-first networking for customers.
SUNNYVALE, Calif., June 15, 2022–Juniper Networks (NYSE: JNPR), a leader in secure, AI-driven networks, today announced it will release preliminary financial results for the quarter ended June 30, 2022 on Tuesday, July 26, 2022 after the close of the market. The Company’s senior management will host a conference call that day at 2:00 pm PT.
SUNNYVALE, Calif., June 15, 2022–Juniper Networks, a leader in secure, AI-driven networks, today announced the findings of a global research project that shows an increase in enterprise artificial intelligence (AI) adoption over the last 12 months is yielding tangible benefits to organizations. However, a shortage of human talent still exists and governance policies continue to lack in maturity – both of which are needed to responsibly manage AI’s growth when considering privacy issues, regulat
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