Predibase was acquired to internalize model training, fine‑tuning and serving infrastructure and, according to Rubrik, to materially lower AI operating costs for customers and the vendor itself Rubrik press release. Industry coverage framed the move as a step to speed customer AI projects and reduce deployment friction CRN.

Operationally, Predibase should improve unit economics for AI features: Rubrik has cited infrastructure cost reductions of up to 80% for certain workloads, which — if realized — lowers the price point for agentic features and widens the addressable market for AI‑enabled resilience Rubrik press release.

Financial performance and key metrics#

Rubrik (RBRK reported Q1 FY26 revenue of $278.5 million (up +49.00% YoY) and subscription ARR of $1.18 billion (up +38.00% YoY), per the company’s reporting and Monexa AI coverage of the quarter Monexa AI Blog. The stock reaction was positive in the session following the release CoinCentral.

On a fiscal‑year basis (FY ended Jan 31, 2025) Rubrik reported revenue of $886.54M and a GAAP net loss of -$1.15B, with gross profit of $620.8M (gross margin +70.02%) and operating expenses that drove an operating margin of -127.92% (all figures per Monexa AI financials) Monexa AI Blog.

Cash‑flow shows constructive signs of operational improvement: Rubrik generated net cash provided by operating activities of $48.23M and free cash flow of $31.34M in the most recent fiscal year, while ending the period with cash & short‑term investments of $705.14M and net debt of $146.10M Monexa AI Blog.

Metric	Latest value	Source
Share price	$88.32	Monexa AI
Market cap	$17.09B	Monexa AI
Q1 FY26 revenue	$278.5M (+49.00% YoY)	Monexa AI Blog
Subscription ARR	$1.18B (+38.00% YoY)	Monexa AI Blog
FY25 net income	-$1.15B	Monexa AI
Free cash flow (FY25)	$31.34M	Monexa AI

Analyst estimates and forward expectations#

Analysts’ published estimates embedded in Monexa’s dataset show revenue ramp expectations over the medium term: 2026 est. revenue $1.19B (EPS -$0.98), 2027 $1.49B (EPS -$0.51), 2028 $1.90B (EPS +$0.22) and further improvement into 2029–2030, per aggregated estimates Monexa AI. These consensus paths imply a multi‑year transition from investment mode toward positive EPS in the outer years.

Forward multiples implied by some consensus scenarios are wide: Monexa’s forward PE projections show extreme dispersion (for example, 2028 forward PE in source tables is ~508x), reflecting low analyst EPS coverage in early years and sensitivity to small EPS changes Monexa AI. That dispersion warns investors that price swings will be driven heavily by small EPS beats/misses as profitability expectations consolidate.

Year	Estimated revenue	Estimated EPS	Source
2026	$1.19B	-$0.98	Monexa AI
2027	$1.49B	-$0.51	Monexa AI
2028	$1.90B	$0.22	Monexa AI
2029	$2.20B	$0.99	Monexa AI
2030	$2.63B	$1.56	Monexa AI

Competitive positioning and partnerships#

Rubrik positions itself as a security‑first data‑resilience vendor with a clear focus on cyber resilience; competitors called out by industry coverage include Cohesity and Veeam, plus native cloud backups from hyperscalers (AWS, Azure, Google). Gartner recognition and market momentum are cited as qualitative advantages in Monexa’s coverage, which support premium positioning in enterprise deals Monexa AI.

Strategic partnerships are explicitly being used as a distribution lever. Rubrik’s August 2025 integration with Sophos to deliver Microsoft 365 recovery through Sophos Central aims to put Rubrik into managed security workflows and accelerate adoption among Sophos’ channel customers Sophos Press Release. That channel motion complements cloud and services alliances referenced in public coverage CRN.

Vendor	Differentiator	Commercial risk
Rubrik (RBRK	Security‑first backup, Agent Rewind, Predibase AI stack	Premium multiple, AI monetization execution
Cohesity	Platform breadth, unified data services	Product breadth vs. focused security pitch
Veeam	Broad workload support, strong channel	Migration friction for enterprise security buyers

Valuation, risks and investor implications#

Rubrik’s trailing price‑to‑sales is ~17.48x (TTM) while some market commentary references a forward FY26 sales multiple nearer the low‑teens — a discrepancy that matters: the TTM P/S and forward‑year multiples differ because of rapid revenue growth expectations and timing of modeled revenue recognition Monexa AI and commentary on valuation dynamics Ainvest.

Key risk vectors that follow from the numbers: (1) guided ARR deceleration to the mid‑20s (management guidance), (2) execution risk in converting Predibase/Agent Rewind into measurable ARR expansion and upsell, and (3) premium multiples that leave little margin for missed beats. Those risks are balanced by improving free cash flow and a strong subscription ARR base — tangible signs that scale economics are beginning to show through Monexa AI.

Management execution metrics to watch next: quarterly subscription ARR growth vs. guided ~+26.00%–+27.00% for FY26, sequential trends in net new ARR, gross retention, and proof‑point deployments of Agent Rewind that translate into expansion revenue (all cited in company commentary and analyst notes) Monexa AI.

Key takeaways and what this means for investors#

Rubrik’s strategic AI bets (Predibase, Agent Rewind) are meaningful product moves that can improve unit economics for AI‑enabled features; the company also reported cash flow improvement and growing subscription ARR, yet it still shows GAAP losses and negative equity on the balance sheet. Those are the facts investors must weigh as guidance and early adoption metrics come in.

Predibase brings in‑house AI infrastructure and a stated potential to reduce AI infrastructure costs materially Rubrik press release.
Q1 momentum: Q1 revenue $278.5M (+49.00% YoY) and subscription ARR $1.18B (+38.00% YoY) — but management guides ARR growth to ~+26.00%–+27.00% for FY26 Monexa AI Blog.
Valuation tension: trailing P/S ~17.48x versus software‑sector norms and some forward multiples cited in market commentary, implying limited error tolerance on execution Monexa AI and Ainvest.

Investors should prioritize three measurable signals over the next two quarters: (1) evidence that Predibase reduces customer AI TCO and shortens proof‑of‑value cycles, (2) subscription ARR acceleration or stabilizing dollar retention versus guidance, and (3) margin or free‑cash‑flow expansion that proves the path from heavy R&D spend (R&D intensity ~+33.55% TTM) to scalable economics Monexa AI.

Upcoming catalysts: the next earnings/hosted updates and reported ARR cadence; monitor the scheduled earnings announcement on the company calendar Monexa AI for timing.