Large Load and Data Center Siting

Investor Analytics merges essential insights into financials, investor behavior, private equity trends and performance metrics for a complete picture of key market dynamics.

SM Merges with Civitas as public E&P consolidation picks up

In response to today’s announcement that SM Energy and Civitas Resources have agreed to merge into a single company with an enterprise value of $12.8 billion, based on prior-day closing prices and including net debt, Andrew Dittmar, principal analyst at Enverus Intelligence® Research provided this commentary explaining the deal’s significance.

Canadian oil sands equities outperform U.S. peers as sector rerates

Canadian oil sands equities outperform U.S. peers as sector rerates

CALGARY, Alberta (Oct. 29, 2025) Enverus Intelligence® Research (EIR), a subsidiary of Enverus, the most trusted energy-dedicated SaaS company that leverages generative AI across its solutions, is releasing a new analysis on Canadian oil sands equities, highlighting sector rerating, valuation dislocations, and the impact of recent market and policy shifts. “The recent outperformance of oil […]

JERA: Latest Asian Firm to Take Haynesville Stake

JERA Latest Asian Firm to Take Haynesville Stake

In response to this week’s announcement that JERA, a leading Japanese energy company and one of the world’s largest LNG buyers, was expanding its upstream footprint through the $1.5 billion acquisition of the South Mansfield joint venture from GEP Haynesville and Williams, Andrew Dittmar, principal analyst at Enverus Intelligence® Research provided this commentary explaining the […]

In BESS of both worlds, optimal battery configuration cuts large load costs up to 44%

In BESS of both worlds, optimal battery configuration cuts large load costs up to 44%

Enverus Intelligence® Research reveals how hybrid Battery Energy Storage Systems (BESS) combining Behind-the-Meter (BTM) and Front-of-the-Meter (FTM) strategies can reduce energy costs for large load entities by up to 44%. The report highlights optimal configurations for EV fleet charging optimization, peak shaving, energy arbitrage, and ancillary services revenue.

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