Valutus.

Case study · Material value analysis

Turning a haul-away bill into $3.66M of annual benefit.

A multi-billion dollar utility was paying commercial haulers to remove material with real market value: unsorted cardboard, copper wire, aluminum, scrap steel, and legacy cable. The disposal cost was visible. The value of the material was not.

$3.66M

A year while the retired legacy-cable program runs (an illustrative multi-year drawdown), settling to $1.25M a year on the recurring recovery program once it ends.

CORE™ model · 30 service centers · 2,000-plus optimizations and scenarios · 5.6-mo payback

01At a glance
Client
A multi-billion dollar utility. (Xynraso Energy is a disguised name; the underlying engagement is real.)
CORE dimension
Operations, through material recovery and capital deployment
Challenge
Size and defend the value of recoverable material that conventional accounting was booking at zero.
Method
A site-by-site CORE™ economic model, optimized two independent ways, then stress-tested across more than 2,000 optimizations and scenarios.
Scope
30 service centers, plus a one-time program retiring legacy cable.
Outcome
$3.66M a year while the retired legacy-cable program runs (an illustrative multi-year drawdown, not a permanent rate), settling to $1.25M a year on the recurring recovery program once it ends. $495K one-time investment, paid back in 5.6 months.
02The challenge

The bill was visible. The value was not.

Thirty service centers were paying commercial haulers to take away unsorted cardboard, copper wire, aluminum, scrap steel, and legacy cable. The invoice for that pickup was a real, visible line item.

The issue was never awareness. Operations leadership knew the material had value. What they did not have was a model a CFO could interrogate and a field team could act on, so the value stayed off every statement that mattered.

Conventional accounting gives an unmeasured benefit the only value it cannot possibly have: zero. Thirty sites of recoverable material had been sitting at exactly that number.

Where the zero was hiding

Not in a missing data source. In a disposal invoice that only ever recorded a cost, with no line for what the same material was worth if it were sorted and sold instead.

03What we did

Ten steps. Here are four keys, each one testable.

The $3.66M figure rests on a site-by-site model built so a CFO can examine every assumption and a field team can act on the result.

01
Catalog and cost baseline
Measured what each of the 30 sites was generating and what it was made of, then combined that with pickup, disposal, and labor costs to size exactly what each site was paying today.
02
Value and validate
Priced the recoverable material at conservative commodity rates, fully loaded the cost to sort and stage it, and tested at every site whether recovery actually paid once that cost was included.
03
Optimize and build the tool
Surfacing the value was step one. Two independent optimization techniques then searched for the highest-leverage way to capture it, cross-validating which materials, sites, and equipment decisions paid for themselves, before the analysis was translated into a live interactive model.
04
Stress-test and deliver
Varied commodity prices, capture rates, and operating variables across more than 2,000 scenarios to find the floor of the return, not just its most hopeful case, then handed over the working model and a user guide, not just a report.
04What it showed

The number that leads is the one that survives a bad year.

Over 50 percent of the material is diverted, backed by an operational plan rather than a target.

Multi-stream recovery across the portfolio nets $3.66M a year while the retired legacy-cable program runs, on a $495K investment that pays back in 5.6 months, well under a year. Once that program ends, the recurring recovery program keeps producing $1.25M a year on its own.

The retired cable is a finite stock being drawn down, not a permanent annual flow. Its planning basis assumes 30% of retired cable needs the smelt route at about $3,000 per ton, the conservative assumption for material that may carry PCB contamination.

More than 2,000 optimizations and scenarios went into that number: the two optimization techniques found the highest-leverage way to capture the value, and the stress tests checked what would happen if almost everything went wrong. Even in the single worst-case scenario tested, the program still returns $321K a year on the recurring basis, paying back in 22.5 months, under two years.

Showing the program pays for itself in under a year is powerful. Showing it still pays off in under two years even in the pessimistic case is what makes the number credible.

The model runs live: any stakeholder can adjust commodity prices, capture rates, and labor rates and watch the figure move in real time. See the interactive model →

The model did not find new money. It made visible the value the disposal cost was hiding.

On what turned the bill into a benefit

05The bottom line

You do not lead with a figure a skeptic can take apart. You lead with one that is conservative, defensible, and rigorously sourced.

A haul-away invoice had been recording a cost for years without ever recording what the same material was worth. Nothing about the site operations changed to create this benefit. What changed was that the value became visible, testable, and defensible enough for a CFO to act on.

More on the Materialization Toolkit →

More work
A new restaurant chain
Operations
An employee development program turned into a revenue stream. It built more training capacity than it needed, then sold the surplus to local hotels and caterers.
A private equity portfolio company
CORE
Sustainability value quantified across all four CORE dimensions, customers, operations, risks, and employees, for capital allocation and strategic planning. A qualitative ESG score replaced with figures.

From submerged value to banked value.

Let us talk about the value you create, and how you can demonstrate it. Credibly and concretely.

Start a conversation → All case studies +1 212 465 2500

Notes on figures

  1. Xynraso Energy is a disguised name for a real client; site-level figures are not disclosed. The calculation engine is the same one Valutus runs in every live engagement.
  2. $3.66M/yr is the planning-basis benefit while the retired legacy-cable program is running: an illustrative multi-year drawdown of a finite stock, not a permanent annual rate. $1.25M/yr is the steady-state benefit from the recurring material-recovery program alone, once that program ends. The two figures are never interchangeable and neither is quoted without the other.
  3. Both figures use the more conservative of two training-cost assumptions considered, $16,000 per site per year rather than $10,000.
  4. The planning basis assumes 30% of retired cable requires an EPA-authorized smelt route at about $3,000/ton, a conservative allowance for possible PCB contamination. The prevalence of contamination in this cable has not been established from a reliable published source; 30% is illustrative, not a measured rate.
  5. More than 2,000 optimizations and scenarios varied commodity prices, capture rates, and operating variables to set the floor of the return. On the recurring basis, the single worst-case scenario tested still returns $321K a year with a 22.5-month payback; that figure was computed at the $10,000 training-cost assumption and has not been re-run at $16,000.