BSAI
BluSky AI, Inc.6.20
+0.00+0%
Dec 16, 4:00:00 PM EST
Earnings Call Transcripts
This Quarter (Q4 '25)
No earnings call transcript available yet
Last Quarter (Q3 '25)
No earnings call transcript available
Key Stats
Market Cap
151.68MP/E (TTM)
-Basic EPS (TTM)
-0.55Dividend Yield
0%Recent Filings
8-K
8-K
LOI for Oklahoma AI site
BluSky AI signed a non-binding LOI on November 4, 2025, to lease about five acres in Mulhall, Oklahoma, for modular AI data center expansion. The 10-year deal starts at $4,000 monthly base rent, escalating to $2,500 per MW for up to 16.3 MW upon activation, supporting scalable compute in energy-rich areas. This bolsters BluSky's strategy across western U.S. corridors. Risks include due diligence hurdles and potential cancellation if installation lags.
8-K
BluSky AI buys Colorado land
BluSky AI inked a deal on August 26, 2025, to snag 36.06 acres in Walsenburg, Colorado, from Snowy River Ranches for $248,000, with $10,000 earnest money and $238,000 cash at closing. This fifth AI factory site taps into regional power grids for up to 15 MW of scalable compute, bolstering the company's Neocloud expansion across the Mountain West. Yet risks lurk in securing permits and utilities. Deal closes 14 days post-120-day due diligence.
8-K
LOI for Nevada data site
BluSky AI signed a non-binding LOI on August 28, 2025, to lease two acres at the White Cloud facility in Wells, Nevada, for deploying modular data centers. The deal secures 2,700 KVA of power capacity and a 10-year initial term starting upon first unit operation, supporting scalable AI compute expansion in the West. This step advances energy-efficient infrastructure. Yet risks linger in final negotiations.
8-K
BluSky AI-Lilac GPU partnership
BluSky AI signed a letter of intent on August 26, 2025, with Lilac to partner on a GPU marketplace, making its idle GPU resources—like NVIDIA H100 and A100 models—available for rent to boost utilization and monetization. This strategic tie-up designates Lilac as a preferred partner, sparking joint marketing and engineering efforts to cut AI compute barriers. A definitive agreement looms in coming months. Yet risks lurk in forward-looking assumptions.
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