What $300K/hour downtime means for IT capex

Every IT organization knows downtime is expensive. Few have priced it. The consequence of unpriced downtime is that hardware refresh, spares stocking, and maintenance decisions get made on first cost — and the capital impact of a preventable outage never shows up in the budget.

Unplanned downtime costs $300K+ per hour on average for 90%+ of mid-size and large enterprises; 41% report losses of $1M–$5M per hour.

At those figures, a single preventable outage is not an IT incident — it is a capital event. One eight-hour outage at the average rate erases value equivalent to a small refresh cycle. For the 41% of enterprises losing $1M–$5M per hour, two hours of downtime outweighs the annual license cost of most infrastructure software by an order of magnitude.

Why the number matters more than the outage

The value of a downtime figure is not the number itself — it is what the number changes. When uptime is priced, several decisions that previously felt like "IT asks" become capital rational:

• Spares strategy — a spare line card or power supply in the warehouse stops being inventory cost and becomes outage insurance with an expected-value math.
• Refresh timing — replacing a device family before end-of-life is not a budget request; it is the cheapest hedge against a $300K/hour failure at age seven.
• Maintenance coverage — contracts get sized to the assets whose failure actually costs money, not blanket coverage of everything.
• Predictive maintenance — detecting a failing component weeks early converts a random outage into a scheduled, cheap replacement.

The capex view of reliability

Hardware is capital expenditure, and downtime is a capital problem. The budget pool that pays for refresh, spares, and maintenance is the same pool that absorbs unplanned downtime — the difference is that downtime pays out nothing. Every dollar of prevention that eliminates an hour of downtime at the average rate returns $300K of avoided loss.

This is why we built Gearbox around lifecycle intelligence rather than another monitoring dashboard. Monitoring tells you the network is down; lifecycle intelligence tells you which assets will fail, which spares to hold, and when to refresh — the decisions that keep the $300K/hour events from happening in the first place.