welcome QTS's fourth Thanks, earnings and Stephen. and year-end XXXX Hello quarter to call.
has announced to that achieved the on what discuss I plan would team like our QTS's restructuring past year. reflect yesterday, release with I in we during conjunction the Before earnings
Turning key $XXX to of XXXX, the X, up year-over-year, adjusted revenue we grew growth year-over-year up $XXX across metrics. million to operating NOI financial per achieved XXXX, and diluted million, was FFO for was of share million record continued year-over-year, Slide X% XXXX over $XXX grew EBITDA full-year XX% We XX% X%. deliver $X.XX healthy of
Over the course for had key QTS to deepened opportunity. business position long-term Chicago our we continue of numerous growth presence growth. and the We in markets existing year, investments see we in Atlanta, strong to Dallas, where like the
in our Hillsboro Hyperscale We commenced Oregon about also center are mid-XXXX. development excited Phoenix, in Virginia, in we which acquisitions key expanded markets land we like our opening and through on footprint newest mega-data Ashburn
our a We innovator also the our made and capability and we position in believe leader solution to and platform sector. that numerous QTS enhancements as accelerate the in market differentiation
and expect is what provides providers. customers to This to related infrastructure experience, QTS of we second announced to the customers our X of platform and the a XXX a Hyperscale their Hyperscale SDP, data official of access locations. can we single big product, interact base. ability megawatt first deliver a resources the or information during requirements HyperBlocks. with deployment, which center their like our solutions, seen quarter a view, customer industry's HyperBlock specific service by environment second metrics quarter cloud and meet platform. and days HyperBlocks represents of customers service operational During Hyperscale-ready, to fully less delivery view. enabling than integrated specifically manage, in SDP QTS approximately availability data on-demand from remote, real time represents XXXX, Each in to engineered all mega-data launching demand across center our have data announced Since of and Also center approach we software-defined optimize XXXX, increasingly aggregating in orchestration from the data sources multiple in which the consistent launch the QTS
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