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Digital Infrastructure
Fractional CFO for Digital Infrastructure
Capex intensity and usage-based revenue demand finance infrastructure that connects depreciation, utilization, and runway into decisions.
Trusted by 50+ SaaS businesses, marketplaces, and platforms:
Founder’s pains
Capital-intensive operations meet finance visibility built for SaaS
Digital infrastructure companies carry fundamentally different economics than pure SaaS: server hardware, GPU clusters, networking gear, and data center buildouts drive large capex requirements, and depreciation flows through cost of revenue as the primary expense line rather than hosting and people costs. Usage-based and hybrid pricing models, per CPU-hour, per GB, per GPU-hour, committed-use plus on-demand overages, create deferred revenue schedules and month-to-month volatility that standard SaaS models cannot capture. Capacity must be provisioned ahead of demand, meaning underutilized infrastructure becomes sunk cost with no offsetting revenue, while mistimed expansion compresses margins at exactly the moment investors expect operating leverage.
Founders reach out when fundraising requires an asset-heavy balance sheet narrative that investors can underwrite, when board pressure on EBITDA intensifies because depreciation distorts operating performance, or when customer concentration risk surfaces as enterprise migration moves substantial revenue in or out. Investor diligence questions on capacity utilization, useful life policy, and unit economics expose gaps that a blended gross margin number cannot answer. The result is decision fatigue: capex commitments are made without a model, pricing tiers are debated without margin visibility, and board reporting describes what happened rather than framing what to do next.
Can you model the gross margin impact of capacity utilization decisions?
Your depreciation schedule and capacity utilization assumptions live in separate spreadsheets from the revenue forecast, which means every decision about when to buy servers, expand a data center footprint, or extend useful life is made without a connected view of how that capital outlay flows through gross margin over the asset's life, leaving the board, investors, and your own leadership team to debate capex timing with incomplete information and no shared model to test the trade-offs.
Are deferred revenue schedules and committed-use contracts clean enough for diligence?
Usage-based pricing, tiered commitments, prepaid credits, and reserved-instance contracts create deferred revenue schedules and recognition complexity that most scaling infrastructure companies handle manually, which means the revenue numbers presented to investors or an acquirer may not survive ASC 606 scrutiny, and the gap between what was reported and what should have been recognized becomes a diligence finding that erodes trust, delays a transaction, or triggers a restatement at the worst possible moment.
Does your forecast account for capex timing, power costs, and equipment cycles?
A runway forecast that treats cash outflows like a SaaS company, primarily payroll and hosting, will materially misstate the cash position of a digital infrastructure business where server purchases, GPU cluster deployments, data center buildouts, and power costs drive multi-million-dollar outlays on irregular cycles, and where committed-use prepayments shift cash timing in ways that a simple headcount-plus-expense model cannot capture or predict with any useful confidence.
Can you explain EBITDA and unit economics without depreciation distorting the story?
Board decks that report a single blended gross margin figure conflate the operating performance of your service lines with the accounting impact of depreciation policy choices, which means the narrative investors hear mixes together utilization-driven margin and useful-life-driven expense, and the conversation shifts from what capacity, pricing, or hiring decisions to make next into an explanation of why the margin number moved, wasting the board's time and the founder's credibility.
WHY FISCALLION
Why digital infrastructure companies choose Fiscallion CFO
01
Financial Planning and Analysis
We build a driver-based financial model that incorporates capex schedules by asset category, servers, networking, GPUs, facilities, with depreciation methodology and useful life policy, alongside capacity utilization assumptions and usage-based revenue projections that reflect committed-use and on-demand mix. This model connects every capacity investment decision to its gross margin and cash impact, so expansion timing, pricing architecture, and capital allocation are tested against a shared set of assumptions rather than debated in isolation.
02
Fundraising & Investor Support
Investor and board deliverables for digital infrastructure companies require a balance sheet narrative that explains capex, utilization, and EBITDA without depreciation distortion obscuring operating performance. Aleksandar owns the data room preparation, diligence-ready financials, and investor narrative directly, not handed to a junior team. Every engagement includes senior-partner ownership of the fundraising model, term sheet scenarios, and due diligence responses that an infrastructure buyer or growth investor will pressure-test.
03
Actionable KPI Dashboards
We stand up dashboards built around the metrics that digital infrastructure operators actually need: capacity utilization by region and service line, revenue per kW and per rack, gross margin by service line, customer concentration above 10% of revenue, committed-use versus on-demand revenue mix, and net revenue retention for recurring colocation. These metrics inform decisions about where to add capacity, which service lines to push or reprice, and which customer relationships create concentration risk worth addressing before the next fundraising round.
04
Growth Focus CFO Advisory
Senior CFO judgment for digital infrastructure means capex strategy that aligns equipment cycles with demand forecasts, useful life policy with audit-grade documentation, pricing architecture for usage-based and hybrid models, and scenario planning for capacity expansion under demand uncertainty. The fractional model fits $5-100M ARR infrastructure companies that need CFO-level judgment on these decisions without carrying the cost of a full-time executive. Each client works directly with Aleksandar at the CFO layer: senior-partner ownership on every engagement, drawing on FP&A leadership experience gained through the growth of a SaaS company to €100M ARR.
FINANCIAL MODELING
The financial infrastructure we build for digital infrastructure companies
Capex & depreciation model
Capex schedules by asset category, servers, networking, GPUs, facilities, with depreciation methodology and useful life policy supported by audit-grade documentation. Connects every capital outlay to its gross margin impact over the asset's life. Decision: capacity investment timing and gross margin trajectory.
Usage-based revenue recognition framework
ASC 606-compliant recognition for usage-based, committed-use, and hybrid pricing structures. Deferred revenue schedules for prepaid commitments, breakage assumptions, and SLA credit reserves treated as variable consideration. Decision: revenue forecasting accuracy and diligence readiness for investor or acquirer review
Capacity utilization & gross margin model
Utilization tracked by region, service line, and customer segment, with revenue per kW, revenue per rack, and gross margin by service line. Identifies which capacity is earning and which is sunk cost. Decision: when to expand capacity versus optimize the existing footprint before committing the next round of capital.
13-week rolling cash flow with capex timing
Incorporates equipment purchase cycles, power cost obligations, and committed-use prepayment timing alongside operating cash flows. Replaces headcount-plus-expense forecasting with a cash model built for capital-intensive infrastructure operations. Decision: runway visibility that accounts for capex cycles.
Board & investor reporting for asset-heavy businesses
EBITDA narrative that separates depreciation distortion from operating performance, utilization trends by region and service, customer concentration reporting above 10% of revenue, and NRR for recurring colocation revenue. Frames choices on capacity, pricing, and hiring rather than just reporting history. Decision: the
Customer concentration & contract economics
Revenue concentration analysis by customer, committed-use versus on-demand revenue mix, SLA credit reserve methodology, and contract-level margin tracking. Exposes which contracts drive or erode profitability and where migration risk concentrates revenue. Decision: diversification strategy and contract pricing.
other sectors
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faqs
Your Questions, Answered
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