Problems › Too Dependent on One Customer › Energy & Utilities Services
Concentration is only a problem in proportion to how easily the utility procurement officer could leave the master service agreement, which is a question about outage window access rather than about percentages. For utility contractors, this shows up in a particular place. The numbers that carry the answer are 18.0 and 71.4, and the complication specific to this industry is that margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents. The general version of this problem and the one you are actually in have different first moves.
Concentration is only a problem in proportion to how easily the utility procurement officer could leave the master service agreement, which is a question about outage window access rather than about percentages. For utility contractors, this shows up in a particular place. The numbers that carry the answer are 18.0 and 71.4, and the complication specific to this industry is that margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents. The general version of this problem and the one you are actually in have different first moves.
A customer at 23 of the 248.6 million revenue is dangerous or fine depending entirely on the structure underneath. If they can replace you within an outage window, that is an existential exposure. If replacing you means re-engineering their asset projects, it is a strong position that happens to look concentrated.
The trap is that concentration usually comes with worse economics — the large customer negotiates harder on master service agreements, demands more service and pays later — so the risk and the margin damage arrive together. Diluting concentration by growing elsewhere is slow; the faster lever is usually repricing the dependency to reflect the risk being carried.
It is also worth separating revenue concentration from contribution concentration. They can point in opposite directions, and the second is the one that would actually hurt when craft utilisation sits at 71.4 and backlog conversion depends on the next outage window.
These three together are the signature. One on its own usually points somewhere else.
✓ One master service agreement exceeds a quarter of the 248.6 million revenue
✓ That customer has materially better terms than everyone else on project write-downs
✓ Losing them would require immediate cost action on craft utilisation rather than a plan for the 18.0 or 6.6 line items
The move that usually makes it worse. Chasing volume elsewhere to dilute the percentage, which adds cost while leaving the dependency intact.
It is for you if you run or finance a utility contractor and one customer exceeds a quarter of revenue. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a utility contractor. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Verrick Energy Services, a sample company profile used for testing rather than a customer — 248.6 million dollars revenue from regulated utility asset projects.
Excerpt from a real Percision run · Customer Value Architecture · sample company profile
The move. Monetise 9.2-day energised outage reliability inside existing MSAs to expand share-of-wallet and lift blended margin 135 bps.
| Investment required | $0.6–0.9 M (retention bonuses for 150 senior linemen and minor estimating-process tweaks) |
| Expected return | Base case: 4.8× return on $0.75 M investment via $3.6 M incremental gross profit in Year 2; conservative range 3.2–6.1× based on 200–300 bps premium capture. |
| Revenue, year 1 | $255–260 M (+3–5 % vs FY2025) |
| Revenue, year 2 | $265–275 M (+7–11 % vs FY2025) |
| Revenue, year 3 | $280–295 M (+13–19 % vs FY2025) |
| Exit criteria | Strategy should be reversed if, within 18 months, (a) craft utilisation has not reached 75 % OR (b) at least 2 of 3 targeted MSA renewals have not been signed with explicit energised-window guarantees, OR (c) substation-segment gross margin remains below 19.5 % after premium pricing implementation. |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Proprietary EFF Methodology, one of 29 engagements the platform runs. For utility contractors it works through 18.0, 71.4, 23 and 6.6, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
There is no threshold that means much on its own. What matters is how quickly they could replace you and what happens to your fixed costs if they do. Both are answerable.
Rarely on concentration grounds alone, and often on margin grounds. If the largest account is also the worst-priced, the concentration problem and the margin problem have the same fix.
Increase what it would cost them to leave, and reprice the exposure. Growing a second segment is the right long answer and does not help within the notice period you actually have.
Materially, yes. Margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 18.0, 71.4, 23, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on 18.0 and 71.4. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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