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CFOs: Convert 2026 IT Downtime Cost ($15,000/min) to AEL and ROI

October 9, 2026
CFOs: Convert 2026 IT Downtime Cost ($15,000/min) to AEL and ROI

Industry benchmarks put the average cost of downtime at $15,000 per minute, roughly $900,000 per hour for large organizations, though smaller businesses see meaningfully lower figures. Before you plan around any industry number, calculate your own Downtime Cost per Hour (DCH) and Annual Expected Loss (AEL) using our downtime cost calculator. The formulas, a worked example, and a path to a finance-ready ROI case follow below.

TL;DR:

  • Calculate Downtime Cost per Hour by adding hourly revenue loss, idled labor, remediation, and penalties, then divide by 60 for the per minute cost.
  • The worked example assigns $840 to lost revenue, $1,400 to labor, and $760 to remediation and service level agreement costs, totaling $3,000 per hour.
  • At $3,000 per hour, cutting annual downtime from 12 hours to 4 reduces annual expected loss by $24,000 in the example.
  • Revenue alone understates exposure: include idle labor, remediation, service level agreement penalties, regulatory fines, customer churn, and rework that may emerge weeks after recovery.
  • Start with monitoring, rehearsed recovery runbooks, and tested backups, then justify costlier geographic redundancy against the annual loss your business calculates.
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Table of Contents

2026 benchmarks: what downtime actually costs by size and industry

The widely cited figure from the Splunk and Oxford Economics study comes from surveyed Global 2000 organizations: an average of $15,000 per minute, which works out to roughly $900,000 per hour, with an estimated $600 billion in aggregate annual impact across the surveyed population.

Those numbers describe large, often revenue-intensive organizations. Mid-size and smaller businesses typically see far lower absolute costs, since they process fewer transactions per minute and carry smaller payrolls, but the relative impact on cash flow and customer trust can be just as severe. Variance across companies comes down to a few drivers:

  • Revenue model: an e-commerce platform losing live transactions every minute faces a sharper cost curve than a business with deferred or batch-processed revenue.
  • Company size: larger headcounts mean more idle labor hours stacking up during an outage.
  • Industry: financial services, healthcare, and manufacturing carry added regulatory and safety exposure on top of lost revenue.
  • Outage severity: a brief blip rarely triggers reputational damage, but an extended outage compounds direct losses with customer churn.

One in five outages now exceeds $1 million in total cost, according to Uptime Institute's annual outage analysis, with a growing share landing between $100,000 and $1 million. That shift reflects how interconnected cloud and third-party dependencies have made even modest outages more expensive to contain.

What belongs in your downtime cost: direct, indirect, and hidden categories

A downtime estimate that only counts lost sales will undercount the real damage by a wide margin. A complete DCH calculation pulls from several categories, each with its own financial metric to track:

  • Lost revenue: transaction rate and average order value during normal operating hours, applied to the outage window.
  • Employee productivity: hourly labor cost multiplied by the number of idled staff, including time lost to re-entering or reconciling work after systems return.
  • Remediation and contractor costs: vendor call-out fees, overtime pay, and emergency contractor invoices tied directly to the incident.
  • SLA penalties: contractual credits or refunds owed to customers under uptime guarantees.
  • Regulatory fines: penalties tied to compliance frameworks relevant to your sector, assessed separately from operational losses.
  • Reputation and churn: customer attrition and reduced lifetime value following a visible outage, typically measured over a 6 to 12 month decay window.
  • Operational ripple effects: downstream delays in fulfillment, billing, or reporting that surface days after systems are restored.

Timing matters as much as category. Direct revenue loss and idle labor costs hit during the incident itself, while reprocessing, validation, and reputational costs often land weeks later. Atlassian's guidance on downtime cost notes that many organizations underestimate these post-recovery costs, including rework and public relations spend, which can ultimately exceed the immediate revenue hit. Historical incidents illustrate the spread: Atlassian cites estimated losses of $25 million for Apple, $150 million for Delta, and $90 million for Facebook from single outages, underscoring how wide the range runs once every category is counted.

How to calculate your downtime cost per hour, step by step

The core formula is straightforward once you have the right inputs. TechTarget's methodology frames it this way:

  1. Estimate hourly revenue loss: average hourly revenue multiplied by the share of revenue dependent on the affected system.
  2. Add hourly labor cost: number of idled employees multiplied by their average fully loaded hourly wage.
  3. Add remediation and penalty costs: emergency vendor fees, SLA credits, and any fines tied to the specific incident, averaged across a typical event.
  4. Sum the three figures to get DCH (Downtime Cost per Hour).
  5. Divide DCH by 60 to get the per-minute figure for quick comparison against industry benchmarks.

Here is a worked example for a representative mid-size business processing $2.4 million in annual online revenue, with 40 employees affected during a system outage:

InputValue
Hourly revenue (annualized ÷ 2,000 work hours)$1,200
Share of revenue dependent on affected system70%
Hourly revenue loss$840
Idled employees40
Average fully loaded hourly wage$35
Hourly labor cost$1,400
Average remediation and SLA cost per incident$760
Total DCH$3,000
Per-minute cost$50

For this business, a one-hour outage costs roughly $3,000, with the per-minute figure landing at $50, far below the Global 2000 average but still a meaningful hit for a mid-size operation, especially if outages recur several times a year.

The biggest sensitivity drivers are the share of revenue tied to the affected system, your actual conversion rate during peak hours, and whether idled employees are fully unproductive or partially redeployed. Running the numbers with your own traffic and payroll data, rather than industry averages, produces a far more defensible figure for internal planning. Our downtime cost calculator walks through these same inputs, revenue dependency, headcount, average wage, and incident frequency, and returns both DCH and an annualized estimate.

Downtime calculation inputs and annualized estimate

Turning DCH into Annual Expected Loss and DR investment ROI

A single DCH figure tells you what one hour costs. Annual Expected Loss (AEL) tells you what downtime is likely to cost your business over a full year, which is the number that actually belongs in a budget conversation.

  1. Calculate AEL: multiply DCH by your expected annual downtime hours. If historical incidents average 12 hours of downtime per year and DCH is $3,000, baseline AEL is $36,000.
  2. Model the investment: estimate how a disaster recovery or backup upgrade reduces annual downtime hours, for example from 12 hours to 4 hours.
  3. Recalculate AEL post-investment: 4 hours multiplied by $3,000 DCH equals $12,000, a risk-reduction value of $24,000 per year.
  4. Calculate ROI: divide the annual risk-reduction value by the investment's annual cost. TechTarget's worked example shows a DR investment producing a 138% ROI once reduced downtime and incident costs are factored in.

This model works because it converts a technical risk, like recovery time objectives or backup frequency, into a dollar figure finance leaders can weigh against any other capital request. When presenting to a CFO or board, lead with baseline AEL, show the post-investment AEL, and state the ROI percentage directly. Most finance reviews respond better to a single risk-reduction number than to a list of technical specifications.

The leading causes behind costly machine downtime

Not every outage carries the same financial weight, and targeting mitigation at the costliest causes produces the best return:

  • Cyberattacks, particularly ransomware: often the longest and most expensive incidents, combining downtime with recovery, negotiation, and potential regulatory exposure.
  • Third-party and cloud provider outages: a single vendor failure can cascade across every system that depends on it, extending recovery time well beyond the vendor's own fix.
  • Network and fiber failures: physical infrastructure issues that are often outside direct control but still land on your DCH.
  • Human error: misconfigurations and accidental deletions remain a persistent driver of unplanned downtime.
  • Failed deployments: code or configuration changes pushed without adequate testing or rollback plans.

Uptime Institute's outage analysis points to interdependent cloud and third-party services as a growing driver of cascading risk, since a single upstream failure can affect dozens of downstream systems simultaneously, stretching recovery windows and inflating costs well past what the initial incident would suggest. Logging the root cause of every incident, not just its duration, gives you the data needed to refine AEL estimates over time.

Where to invest first: a prioritized mitigation playbook

Not every resilience investment delivers the same payoff, and budgets are rarely unlimited. Rank spending by how much risk reduction it buys per dollar:

  • Detection and observability tools: catching an incident in minutes rather than hours is often the single highest-leverage investment available.
  • Tested runbooks: documented, rehearsed recovery steps cut mean time to recovery more reliably than ad hoc troubleshooting.
  • Validated backups: a backup that has never been tested for restoration is a liability, not a safeguard.
  • Redundancy and cross-region failover: higher upfront cost, but it directly reduces the downtime hours that feed into AEL.
  • Vendor SLA review: since third-party outages cascade, know what your vendors actually guarantee and what happens when they miss it.
  • Change control and deployment testing: reduces the frequency of self-inflicted outages from failed releases.
  • Chaos engineering exercises: deliberately testing failure scenarios before they happen in production.

Quick wins like monitoring and runbook development typically cost far less than strategic capital projects like full geographic redundancy, so sequence spending accordingly: close the cheapest gaps first, then build the business case for larger infrastructure investment using your AEL model.

Pro Tip: Review your incident log quarterly and recalculate AEL each time; a model built on last year's outage frequency understates risk the moment your infrastructure or transaction volume grows.

How Secure Techies designs managed services around downtime risk

Our approach to managed IT centers on prevention rather than reaction. 24/7 monitoring catches anomalies before they become outages, and proactive remediation addresses issues during routine maintenance windows instead of during business hours. Compliance-focused audits for frameworks like HIPAA and SOC 2 add a layer of protection against the regulatory exposure that often accompanies extended outages. Each of these services maps to a mitigation priority above: monitoring addresses detection, backup and DR addresses recovery time, and compliance work addresses the regulatory and reputational categories that are easiest to overlook in a DCH estimate.

How downtime erodes customer trust long after systems recover

An outage rarely ends when systems come back online. Customers who hit an error page during a purchase or a failed login often do not retry immediately, and some do not return at all. The reputational cost category in a DCH model reflects this: reduced customer lifetime value, measured over months rather than hours, frequently outweighs the immediate revenue lost during the outage itself.

Brand loyalty takes a disproportionate hit when downtime affects a core transaction, like checkout or account access, versus a peripheral feature. Repeated outages compound the damage faster than a single long incident, since customers begin to expect unreliability rather than treating it as an isolated event. Social media and review sites also accelerate reputational spread well beyond the customers directly affected, which is part of why major outages correlate with measurable stock price declines for public companies. Building customer communication into your incident response plan, status pages, proactive emails, and clear timelines, does not eliminate the reputational cost, but it narrows the gap between what a company says happened and what customers experienced, which tends to shorten the recovery period for trust.

Worked examples: putting the formulas into practice

The DCH and AEL formulas above only become useful once applied to a real situation. Consider a regional professional services firm processing client billing and document management through a cloud platform. A four-hour outage affecting 25 staff, each billing at an average $45 hourly rate, produces roughly $4,500 in idled labor cost alone, before counting any delayed client invoicing or missed deadlines that carry their own contractual consequences.

A different scenario: a healthcare provider's patient portal goes down for six hours. Direct revenue loss may be minimal if billing is unaffected, but the categories that dominate are compliance risk and patient trust, both harder to quantify but no less real. This is why a DCH estimate built only around transaction revenue misses the point for service-based and regulated organizations: the labor, remediation, and compliance categories often matter more than the sales figure.

Running your own numbers through each category, revenue, labor, remediation, penalties, and reputation, produces a far more accurate picture than applying a generic industry average. The SMB-focused downtime cost breakdown walks through a similar example with smaller inputs, useful as a template if your organization's revenue and headcount are closer to that scale.

Worked examples: putting the formulas into practice — overview diagram

Beyond fines: the compliance obligations downtime can trigger

Regulatory exposure from downtime extends well past the fine itself. Many compliance frameworks carry mandatory breach or outage reporting requirements with strict timelines, and missing a reporting deadline can trigger penalties separate from the incident itself. Healthcare organizations under HIPAA, financial firms under SEC rules, and businesses handling EU resident data under GDPR each face reporting obligations that activate the moment an outage involves a security incident or data exposure, not only when data is confirmed stolen.

Beyond reporting, repeated compliance failures can lead to increased audit frequency, loss of certification status, or contractual sanctions from business partners who require compliance as a condition of doing business. For regulated industries, these downstream consequences often outlast the financial hit of the outage itself, since lost certifications or heightened audit scrutiny affect operations for months. Treating compliance reporting as part of incident response planning, rather than an afterthought handled after recovery, reduces the risk of a missed deadline becoming a second, avoidable penalty on top of the original outage.

Can insurance offset the financial risk of downtime?

Cyber insurance and business interruption coverage have become more common tools for managing downtime risk, though coverage terms vary significantly by policy and insurer. These policies can offset direct costs like remediation, legal fees, and in some cases lost revenue during a covered incident, but they rarely cover the full reputational or customer-churn impact that often represents the largest share of total cost.

Insurers increasingly require evidence of baseline security controls, tested backups, and incident response plans before issuing or renewing coverage, which means the mitigation investments discussed earlier also support better insurance terms. Treating insurance as one layer in a broader risk strategy, alongside the technical and operational controls that reduce AEL directly, produces a more complete risk management posture than relying on a policy alone. Reviewing coverage limits against your own calculated AEL is a useful exercise: a policy that covers far less than your modeled annual exposure leaves a meaningful gap that technical controls need to close instead.

Downtime deserves a seat at the risk management table

The organizations that handle downtime best treat DCH and AEL as finance metrics, not IT metrics. That shift matters because it forces a cross-functional conversation: IT identifies the technical risk, finance quantifies the dollar exposure, legal flags the regulatory angle, and operations owns the customer-facing response. When DCH stays buried in an IT dashboard, resilience spending competes poorly against other capital requests. When it shows up in the next risk or finance review as an annual dollar figure, it competes on equal footing.

— Alex

Reduce your downtime risk with managed IT and backup support

If your DCH or AEL calculation revealed more exposure than your current infrastructure can tolerate, the fix usually comes down to two things: catching problems before they become outages, and recovering fast when something still goes wrong. Our managed IT services build on 24/7 monitoring and proactive remediation so issues get resolved before they disrupt your operations, backed by a 99.9% uptime guarantee.

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For the recovery side of that equation, our backup and disaster recovery solutions are built to shrink the downtime-hours variable in your own AEL formula, with flat-rate billing and no long-term contract required. If you serve Southern California and want a clearer picture of where your current setup stands, reach out to start a conversation about what reducing your annual expected loss could look like for your business.

This article is general information, not a substitute for advice from a qualified financial advisor. Consult a qualified financial professional about your own circumstances before acting on anything here.

FAQ

How much does downtime cost?

Large organizations average $15,000 per minute, or roughly $900,000 per hour, though actual cost varies widely by company size, revenue model, and industry. Smaller businesses typically see a much lower absolute figure, which is why calculating your own DCH matters more than relying on an industry average.

How much do IT services typically cost?

Managed IT pricing depends on the scope of services, company size, and infrastructure complexity, so a flat industry rate does not exist. Our managed IT services and backup and disaster recovery pricing is available on request after a review of your environment.

How do I calculate downtime?

Add your hourly revenue loss, idled labor cost, and average remediation or penalty cost to get your Downtime Cost per Hour (DCH), then divide by 60 for a per-minute figure. The TechTarget methodology walks through this calculation with a worked example, or you can run your own numbers through our downtime cost calculator.

What are downtime charges?

Downtime charges typically refer to SLA penalty credits a vendor owes a customer when uptime guarantees are missed, separate from the broader cost categories like lost revenue or remediation labor. These charges are usually spelled out in the contract's SLA terms and represent only one line item within a full DCH calculation.

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