How Much Can a Power System Engineering Study Owner Make at $225/Hour?
A power system engineering study owner can plan for $0 in first-year profit distributions in the base case unless revenue grows past the staffed cost base Using researched assumptions, 18 acquired customers, 125 billable hours per month, and a $205 blended hourly rate produce about $553,500 in first-year revenue Revenue-linked costs are 29%, fixed overhead is $169,200 per year, and modeled payroll is $517,500, so the business needs about $12 million in annual revenue to support roughly $175,000 of owner-operator pay plus a 10% reserve before taxes
Owner income$0Net margin7%–48%Revenue for target pay$12MBusiness difficultyHard
What owner income can your study volume support?
Owner income calculator
Estimate owner take-home and target-pay gap from revenue, margin, costs, reserves, and target pay.
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Planning note: Research-based planning estimate only. It is not guaranteed salary, tax advice, or owner distribution advice.
Want to see what moves owner income most?
1
Average Fee
$205/hr
Year 1 blended study rate is about $205/hr, so every price bump drops more straight to profit after labor and overhead.
2
Billable Hours
12.5h/mo
Raising billable hours per active customer spreads the $14.1K monthly overhead across more revenue and lifts owner cash.
3
Delivery Model
29%
A better staffing mix protects margin, since first-year revenue-linked costs start at 29% before fixed overhead.
4
Project Mix
65%-90%
More work in power system analysis and arc flash assessment supports stronger pricing than safety audits and improves take-home.
5
Overhead Load
$14.1K
The monthly fixed base has to clear before owner pay, so slow months hit cash fast.
6
Repeat Pipeline
$2.5K
A $45K marketing budget with about $2.5K CAC means repeat work matters because new wins are costly to replace.
Can you test owner pay before hiring?
The Power System Engineering Study Financial Model Template dashboard shows revenue assumptions, project mix, staffing, utilization, software, insurance, working capital, and owner-income sensitivity. It also shows charts for revenue, gross margin, operating profit, cash reserve, and owner pay, plus rate tables for power system analysis, arc flash assessment, and safety audits. Open the model.
Owner-income model highlights
$553.5k first-year revenue
$12M for $175k pay
Reserve-aware scenario tests
Can a power system engineering study business support owner pay?
Yes, Power System Engineering Study can support owner pay, but not at the first-year base case: $553,500 revenue from 18 customers does not clear $517,500 payroll, $169,200 overhead, $45,000 marketing, and 29% revenue-linked costs. For the deeper math, see How Increase Power System Engineering Study Profitability?: under these assumptions, about $12 million annual revenue supports roughly $175,000 owner-operator pay with a 10% reserve.
Base-case gap
18 customers produce $553,500 revenue
Payroll runs $517,500
Fixed overhead totals $169,200
Marketing adds another $45,000
Owner-pay test
Cover payroll before owner draws
Fund overhead and marketing first
Reserve 10% before pay
Use business economics, not wage data
How many power system studies are needed to make owner income?
If you want $175,000 of owner pay and a 10% reserve, the Power System Engineering Study needs about $12 million in annual revenue. At roughly $30,750 per active customer in year one, that works out to about 39 active customer-equivalents, not one fixed study count. The study count moves with mix: $10,125 for power system analysis, $5,850 for arc flash, and $2,700 for safety audits.
Revenue target
$175,000 owner pay goal
10% reserve on top
$12 million revenue needed
39 active customer-equivalents
Study mix
$10,125 power system analysis
$5,850 arc flash study
$2,700 safety audit
Repeat clients change the count
What profit margin is realistic for power system engineering studies?
For a Power System Engineering Study, a realistic gross margin is 87% in year 1 and 91% by year 5, but that is not the same as owner take-home. For the operating math behind it, see What Are The 5 Core KPIs For System Engineering Study Business? After sales commissions, referral fees, travel, and site visits, the contribution margin is 71% in year 1 and 79% by year 5.
Gross margin
87% gross margin in year 1
91% gross margin by year 5
Software and field costs are included
Gross margin is not owner cash
Owner cash
71% contribution margin in year 1
79% contribution margin by year 5
Payroll rises from $517,500 to $1,982,500
Software, insurance, travel, proposal time, and PE review cut cash
Key Takeaways
Pricing only works when scope matches engineering hours.
Utilization turns paid hours into owner income.
Complex jobs help only with tight scope control.
Cash flow matters because invoices fund overhead.
Compare low, base, and high owner-income scenarios
Owner income scenarios
Owner pay moves with active customer volume, staffing, and collections. Fixed overhead and payroll can absorb cash fast, so the draw profile changes a lot across cases.
Low, base, and high owner-income cases for planning.
Scenario
Low CaseDownside case
Base CaseCore case
High CaseUpside case
Launch model
Owner draw stays weak because customer volume is thin and cash gets used by overhead and payroll.
Owner pay lands at a modeled level because revenue scales with active customer equivalents and reserve discipline stays in place.
Owner take-home rises when the firm keeps utilization high and adds staff without letting payroll outrun billings.
Typical setup
About 18 active customers, about $553,500 revenue, 29% revenue-linked costs, $169,200 fixed overhead, $45,000 marketing, and $342,500 non-owner payroll.
About 39 active customer-equivalents, about $12 million revenue, and enough margin to support roughly $175,000 owner pay with a 10% reserve under first-year cost logic.
About 55 active customer-equivalents or higher-rate staffed work, with owner pay improving if added payroll stays controlled.
Cost drivers
18 active customers
29% linked costs
$169.2k fixed overhead
$45k marketing
$342.5k non-owner payroll
39 active customer-equivalents
$12.0m revenue
10% reserve
first-year cost logic
$175k owner pay
55+ active customer-equivalents
higher-rate staffed work
controlled added payroll
utilization discipline
receivables control
Owner income rangeBefore owner reserves
No owner drawReceivables risk
$175,000Hiring risk
Above $175,000Utilization risk
Best fit
Use this to test cash strain if customer flow stays thin and collections lag.
Use this for a steady plan with first-year cost logic and a 10% reserve.
Use this to test upside when work volume is strong and staffing stays efficient.
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Planning note: Scenario ranges are researched planning assumptions, not guaranteed earnings, salary promises, tax advice, or distributions.
Power System Engineering Study Core Six Income Drivers
Average Study Fee
Average Study Fee
When a study’s fee matches its scope, liability, deliverables, and engineering hours, it protects owner pay. On the first-year model, pricing is $10,125 for power system analysis, $5,850 for arc flash assessments, and $2,700 for safety audits. If the fee is too low, the owner eats unpaid review time and late nights.
The key inputs are scope creep, field data collection, rework, and Professional Engineer review. If those hours grow faster than the fee, cash flow weakens and gross profit drops. Higher pricing only helps when the work stays inside the modeled hours.
Price to the work, not the hope
Track hours by study type, then compare them with fee. The quick test is simple: did the job cover data collection, analysis, report writing, and review without overtime? If not, narrow scope or raise the next quote before the next project starts.
Log field hours by project.
Separate rework from base scope.
Price PE review explicitly.
Flag audits below $2,700.
Use each finished job to reset pricing. A few underpriced complex studies can wipe out a month of owner income, while disciplined fee setting turns the same engineering effort into cleaner profit and a steadier draw.
Repeat-Client Pipeline And Cash Flow
Repeat Clients and Cash Timing
Stable owner income here comes from repeat facility work, contractor referrals, and facility-manager relationships. The pipeline also depends on proposal win rate, milestone billing, and timely receivables. With a $45,000 first-year marketing budget and $2,500 CAC, you only buy about 18 customers, so each lost repeat job hurts fast.
The cash part matters just as much. Revenue growth helps only if invoices turn into cash fast enough to fund payroll, insurance, software, and reserves. By year five, $110,000 of marketing at $1,800 CAC supports about 61 customers, but slow collections can still leave the owner short on draw.
Track Wins, Then Collect Faster
Track the share of repeat work, referral leads, proposal wins, and days sales outstanding (DSO), the average days to collect cash. Keep milestone billing tight and chase aged invoices early, because a strong backlog with weak collections still lowers owner pay.
Review repeat-client rate monthly.
Bill at milestones, not at finish.
Flag invoices older than 30 days.
Test referral sources by win rate.
If CAC falls from $2,500 to $1,800, put the savings into better leads and faster collections, not just more volume. The goal is more cash per proposal, not just more proposals.
Billable Utilization
Billable Utilization
Billable utilization is the share of engineering time that gets paid, not lost to proposals, revisions, admin, or collections. At 125 billable hours per month per active customer and a $205 blended rate, one active customer generates about $30,750 per year (125 × $205 × 12). If utilization drops, the same payroll and $14,100 monthly overhead spread over fewer hours reduces profit and the owner’s take-home pay.
Track Paid Hours First
Watch billed hours, nonbillable hours, and utilization by engineer each month. One clean rule: if proposals, revisions, and collections are growing faster than paid work, margin is leaking. Protect review time, tighten scope before work starts, and price for the hours the job will really take. Poor quality can erase the gain fast, so track rework hours separately.
Billable hours per customer: target 125 monthly
Blended rate: hold near $205
Nonbillable time: proposals, admin, collections
Overhead per month: $14,100 spread matters
Rework hours: a margin warning sign
Specialized Overhead And Risk Costs
Risk Costs That Hit Profit
This driver trims operating profit before owner pay. Modeled software subscriptions are 8% of first-year revenue, professional liability insurance is $2,200 per month, and field expenses start at 5% of revenue, so a busy month can still leave thin cash if the work needs travel and heavy quality checks.
The key inputs are revenue, client type, licensing needs, project risk, and how much data collection and site time each job needs. These costs are not fixed market facts, so a higher-risk industrial or data-center project can lower take-home income even when the billing rate looks strong.
Track Cost Per Job
Track software, insurance, travel, data collection, and quality assurance by project, then compare them as a percent of revenue. If a study cannot absorb the modeled 8% software load, 5% field expense, and monthly liability premium, price the scope up or cut nonessential work.
By year five, software is modeled at 6% of revenue, so margin should improve if pricing stays firm. Bill separately for extra site visits, revisions, and senior review; otherwise these risk costs come out of owner pay, not just overhead.
Delivery Labor Model
Delivery Labor Model
Delivery labor is the mix of owner work, hired staff, and subcontractors used to produce each study. Solo delivery can keep margin high, but it caps revenue because one person can only review so many jobs. The first-year model shows $517,500 in payroll, with $175,000 tied to the Principal Professional Engineer role, so if the owner fills that role, $342,500 is non-owner payroll.
Here’s the quick math: adding labor can raise revenue, but only if utilization and review capacity keep up. If senior review becomes the bottleneck, extra staff just adds fixed cost and stretches cash flow. If the team stays fully billed and rework stays low, staffing can turn one-person throughput limits into owner income.
Track Billable Hours and Review Load
Measure billable hours, rework hours, and senior review hours by project type. If added staff do not lift billed output, the owner is just buying payroll. If review time climbs faster than billings, profit per job falls, even when revenue grows.
Use staffing for clear roles: data collection, modeling, and draft prep on one side; final engineering sign-off on the other. That keeps the owner focused on the high-value work tied to fee recovery. One clean rule helps: if a hire cannot pay for itself through billed hours, it is overhead, not growth.
$517,500 first-year payroll
$175,000 principal engineer role
$342,500 non-owner payroll
Watch utilization before hiring
Project Mix Complexity
Project Mix Complexity
When the mix shifts toward complex work, revenue can rise, but so can labor load and rework. The first-year model assumes 65% power system analysis, 80% arc flash assessment, and 20% safety program audits, with modeled billable hours of 45, 30, and 15 per engagement type. That means owner income improves only if the fee covers senior review, clean data cleanup, and scope control.
Here’s the trap: not every hard job is more profitable. Industrial, interconnection, reliability, and safety work can support higher fees, but extra complexity can eat margin fast if field data is messy or the scope keeps moving. If the added hours are unpaid, the owner’s take-home drops even when top-line revenue looks strong.
Tighten Scope and Review Time
Track mix by study type, then tie each job to expected hours, review time, and rework. Use the model’s hour targets: 45 for power system analysis, 30 for arc flash, and 15 for safety audits. If actual hours run above plan, the fee is too low or the scope is too loose. That’s the fastest way to protect gross margin.
Keep one simple test on every project: did the fee cover engineering time, senior review, and data collection? If not, the job may be busy but still weak for owner pay. One clean rule helps: price complexity for the hours it truly needs, not for the hours you hope it will take.
